LastWeek

LastThreeDays

Today

Aoristou

Orismenou

Internship

FullTime

Hybrid

OnSite

Remote

As a Senior Java Developer, you will be part of a dynamic team of 10 professionals, contributing to the design, development, enhancement, and maintenance of advanced FinTech solutions. The role combines strong technical expertise with problem-solving ability and offers exposure to large-scale, international projects.You will actively collaborate with business analysts, architects, and fellow engineers, taking ownership of delivering robust, scalable, and high-quality software components.Responsibilities<ul><li>Design, develop, and maintain high-performance Java applications and modules for global FinTech projects.</li><li>Participate in business analysis and transform complex requirements into functional use cases and user stories.</li><li>Collaborate closely with the development team, architects, and subcontractors, ensuring adherence to coding standards and best practices.</li><li>Implement and optimize database queries, ensuring high availability and performance.</li><li>Conduct thorough testing, debugging, and troubleshooting to ensure flawless software operation.</li><li>Perform code reviews, unit testing, and optimization for quality assurance.</li><li>Contribute to continuous improvement by researching emerging technologies and frameworks.</li></ul>Requirements<ul><li>BSc/MSc in Computer Science, Software Engineering, or a related field.</li><li>5+ years of proven professional experience in Java development.</li><li>Proven professional development experience using JAVA/JEE, Quarkus, JPA, Eclipse, SVN, Maven technologies.</li><li>Knowledge of Front-End technologies (React, HTML/5, Javascript, CSS/Less, JSP, JQuery).</li><li>Web Services Development (REST, SOAP).</li><li>Solid understanding of SQL and experience with relational databases (PostgreSQL, MySQL, MS SQL Server).</li><li>Familiarity with build tools (Maven, Gradle) and version control systems (Git).</li><li>Experience working in Agile/Scrum teams.</li><li>Strong problem-solving, analytical, and communication skills.</li><li>Ability to work effectively in a collaborative, multinational environment.</li></ul>Nice to Have<ul><li>Experience in the Banking/FinTech domain.</li><li>Exposure to cloud technologies and modern deployment pipelines.</li></ul>What They Offer<ul><li>Competitive and performance-based remuneration.</li><li>Meal vouchers.</li><li>Private Medical &amp; Life Insurance Plan.</li><li>Flexible working model (hybrid/on-site).</li><li>Training and development opportunities in the FinTech sector.</li><li>New experiences within a multinational environment and global teams.</li><li>Team-spirit environment with passion for technology.</li><li>Employee referral bonus.</li><li>A workplace of diversity &amp; inclusion.</li></ul>If you are a passionate Senior Java Developer eager to work on global FinTech projects and contribute to cutting-edge solutions, we would love to hear from you!

Senior Java Developer

As a Senior Software Engineer, you’ll join one of our technology teams working on either core banking and internal tools projects, enhancing and integrating systems such as Temenos, Finacle, or Flexcube or Low-code development projects using platforms like Appian, helping clients transform and automate business processes.We’re looking for experienced software engineers who want to take the next step in their career, expanding their skills into modern low-code platforms, process automation, and core financial systems while working in one of the best technology environments out there.Responsibilities<ul><li>Design, develop, test, and deploy high-quality applications and system components.</li><li>Build and integrate APIs, data flows, and workflows to support business automation and process efficiency.</li><li>Work closely with business analysts and product owners to translate requirements into technical solutions.</li><li>Contribute to system enhancements, upgrades, and performance optimization.</li><li>Collaborate with cross-functional teams to ensure alignment with business and technical standards.</li><li>Continuously learn and upskill in new technologies such as Appian or core banking platforms to stay ahead of market trends.</li></ul>QualificationWHO WE´RE LOOKING FOR?&nbsp;<ul><li>Bachelor’s degree in Computer Science, Information Systems, or similar field.</li><li>More than 3 years of experience in either Java, C/C++, C#, Python, etc.</li><li>Experience with API development (REST, SOAP, or gRPC) and system integrations.</li><li>Interest or experience in low-code platforms (Appian, Mendix, OutSystems) or core banking technologies (Temenos T24, Finacle, Flexcube).</li><li>Understanding of banking processes such as Customer onboarding, Deposits Management, Loan Processing, Credit Origination, Product &amp; Pricing is an advantage.</li><li>Excellent problem-solving skills and the ability to work in collaborative, agile teams.</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work etc.)</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

Senior Software Engineer (Athens or Thessaloniki)

The Senior Associate will work on a solutions engineering development team located in Greece supporting Revenue Management Market Access and Contract Operation Business Division of US market as a contributor on multiple projects based on client demands such system enhancements and GenAI solutions engineering.&nbsp;Considering the current needs, we seek a Senior Associate who will predominantly work on GenAI solutions projects and then will be utilized in business-as-usual enhancements.ROLE RESPONSIBILITIESSolutions Engineering &amp; Developer work:<ul><li>Collaborate with business partners and digital leads and develop and deliver solutions such as:<ul><li>Develop and maintain AI engineering components, pipelines, and reusable frameworks supporting enterprise use cases.</li><li>System and interfaces enhancements in the main Contract Management platform called Flex (ModelN) &nbsp;according to business requirements in SQL, UNIX, Informatica.</li><li>Reports that inform business decision making leveraging mainly Business Object technology.</li></ul></li></ul>Design and documentation:<ul><li>Conduct requirements analysis and technical documentation of the solutions.</li><li>Responsible for coordinating the deployment process with various Pfizer Digital teams.</li><li>Must be able to multi-task and perform a wide variety of tasks simultaneously such as organize presentations for upper management, perform system testing, and organize meetings.</li></ul>Collaboration and Integration:<ul><li>Partner with developers, Support Teams, and Digital Leads to translate requirements into production-grade implementations.</li><li>Participate in technical design reviews and support integration with internal platforms and enterprise systems.</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s degree required, preferably in a Computer Science or Computer Engineering or Information Technology field</li><li>3+ years of experience in a large corporate setting with an emphasis on solutions and application development or software engineering roles.</li><li>Strong proficiency in most of the following languages/tech: Python, Oracle, PL/SQL, SQL, Snowflake, Informatica, Business Objects, Tableau, AWS, Unix Scripting.</li><li>Experience working with cloud platforms (Azure, AWS, or GCP).</li><li>Willingness to take risks without fear of making mistakes.</li><li>Understanding of solutions delivery and delivery methodologies including Waterfall and Agile.</li><li>Strong analytical organization and critical thinking skills.</li><li>Strong written, visual, and verbal communication skills.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Technology solutions delivery in a pharmaceutical or regulated environment.</li><li>Competency in understanding organizational behaviors in a large corporate environment.</li><li>Understanding of Software Development Life Cycle management including requirements definition, design, testing and implementation.</li><li>Experience with external Contract Management vendor solutions such as the ModelN FLEX application.</li><li>Knowledge of database, storage, hosting, cloud, application, analytics and services technologies.</li><li>Experience building relationships with both business partners and Digital technical teams.</li></ul>&nbsp;&nbsp;

Senior Associate, Solutions Engineer 4949847

As Senior Manager, DevOps Engineer (Individual Contributor), you will be the build, release, and reliability backbone for our Python SDK—a pip-installable package that provides reusable, modular AI capabilities (RAG components, agent/tool cookiecutters, MCP adaptors, standardized interfaces). You will design automated pipelines that enforce code quality, security, reproducibility, benchmarking, and integration tests for the SDK and ensure compatibility and operability for platform services that consume it.You’ll collaborate closely with:<ul><li>Embedded AI Architecture &amp; Solution Design to prioritize capabilities and validate interfaces against real solution patterns.</li><li>AI Engineering to align PI increments and integrate external technologies into the SDK.</li><li>Digital Creation Centers &amp; Forward Impact Teams (FITs) as consumers of the SDK in products/services, capturing feedback to refine release ergonomics.</li><li>Evaluation &amp; QA, Developer Experience, and LLMOps &amp; AI Integration engineers to make quality and operability automatic.</li></ul>Why this Role MattersFor a Python SDK to scale safely, we need rock‑solid packaging, dependency hygiene, and CI/CD: reproducible builds, secure artifacts, versioning discipline, and automated tests/benchmarks that guard against regressions. Your work turns modular capabilities into enterprise‑grade libraries that downstream services can rely on—ensuring consistent behavior, faster time‑to‑first‑success, and audit‑ready releases.ROLE RESPONSIBILITIES1) Python Packaging, Build &amp; Distribution<ul><li>Own build and release for the SDK: wheel/sdist creation, and reproducible builds.</li><li>Enforce semantic versioning, backward compatibility checks, and changelogs; design safe migration paths (deprecation policies, compatibility shims).</li><li>Standardize artifact repositories: internal PyPI (Dev/Stage/Prod indices), package signing, and promotion workflows with automated quality gates.</li></ul>2) CI/CD for Libraries &amp; Supply Chain Security<ul><li>Design CI/CD pipelines (e.g., GitHub Actions/Azure DevOps/GitLab CI) to automate linting, type checking, unit/integration tests, coverage, and style enforcement (black/ruff/mypy/pytest).</li><li>Integrate dependency auditing and vulnerability scanning, license compliance, and SBOM generation; implement artifact signing and provenance (SLSA‑like controls).</li><li>Codify policy‑as‑code (e.g., OPA/Conftest) so releases only ship when tests, coverage, docs, and security gates pass.</li></ul>3) Benchmarking, Performance &amp; Integration Testing<ul><li>Collaborate with Evaluation &amp; QA Engineers to build benchmark harnesses for RAG components, connectors, rankers, and agent/tool modules; track latency/cost envelopes and regressions over time.</li><li>Orchestrate integration tests against common stacks (vector databases, storages, identity providers) to validate interface contracts used by platform services.</li><li>Maintain regression baselines and performance dashboards; fail builds on significant regressions.</li></ul>4) Operability for Consumers (SDK↔Service Parity)<ul><li>Embed observability hooks appropriate for libraries (structured logging, configurable metrics/traces) so services consuming the SDK can integrate telemetry consistently.</li><li>Define interface contracts and runtime configuration patterns (config schema, secrets management integration points) that downstream services must honor.</li><li>Partner with platform teams to publish service readiness guides built on SDK interfaces (env parity, retry/backoff, error models).</li></ul>5) Environments, Reproducibility &amp; Tooling<ul><li>Design isolated test environments and fixtures for data, vector stores, and external dependencies; leverage tox/pytest‑xdist for matrix runs.</li><li>Own Infrastructure-as-Code limited to test/development environments and CI runners; ensure deterministic builds and environment parity.</li><li>Optimize pipeline performance (caching wheels, parallelization) and track DORA‑style delivery metrics to continuously improve.</li></ul>6) Developer Experience &amp; Contribution Workflows<ul><li>Collaborate with Developer Experience Engineers to produce developer‑ready artifacts (quickstarts, sample apps, docs bundles generated during CI).</li><li>Standardize contribution workflows: feature branches, PR checks, mandatory tests/benchmarks/docs acceptance criteria; enable community extensions safely.</li><li>Provide CLI/tooling or cookiecutters that scaffold new SDK modules with tests, docs, and benchmark hooks prewired.</li></ul>7) Collaboration &amp; Continuous Improvement<ul><li>Align pipeline policies with AI Capability Architecture Lead and ensure SDK interface consistency for downstream service teams.</li><li>Close feedback loops with Embedded Architecture, Solution Design, AI Engineering, Creation Centers, and FITs to prioritize pipeline and release ergonomics improvements.</li><li>Lead post‑release retrospectives to reduce defects, MTTR, and onboarding friction for consuming teams.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in DevOps/SRE/Build &amp; Release engineering, with significant experience in Python packaging and library delivery (wheels/sdists, internal PyPI).</li><li>Expert in CI/CD for libraries (GitHub Actions/Azure DevOps/GitLab CI) and artifact management (PyPI/private indices, container registries as needed for test harnesses).</li><li>Strong hands‑on with cloud‑native development and CI runners; proficiency with IaC for build/test environments.</li><li>Proven track record implementing quality gates: automated tests, secrets management, test coverage, dependency/security scanning, SBOMs/signing, policy‑as‑code.</li><li>Experience embedding observability hooks for libraries and defining interface contracts for service consumers.</li></ul>Preferred Qualifications<ul><li>Familiarity with GenAI/LLM ecosystems (RAG pipelines, vector stores, agent/tool frameworks, MCP adaptors) and their benchmarking/testing needs.</li><li>Background in performance engineering for Python (profiling, async/concurrency, I/O, data pipelines) and managing latency/cost regressions.</li><li>Experience with open-source contribution workflows, multi‑language SDK delivery (Python primary; TypeScript/Java nice-to-have), and semantic versioning discipline.</li><li>Exposure to regulated environments and audit‑ready release documentation.</li><li>Comfortable partnering across architecture, QA, DX, LLMOps, platform, and product teams in a matrixed organization.</li></ul>

Senior Manager, DevOps 4949161

As a Data Governance Consultant, you will work closely with our clients, leading and coaching cross-functional teams to design, implement, and optimize data governance strategies that enable trusted, well-governed data. You will shape roadmaps and guide teams in the end-to-end delivery of data governance projects.Our Services Include:<ul><li>Data Governance Frameworks: Develop governance approaches aligned with business priorities and regulatory needs.</li><li>Data Catalog &amp; Metadata Management: Design solutions to improve data discovery, understanding, and reuse.</li><li>Data Quality Management: Create processes and controls for measuring, monitoring, and improving data quality.</li><li>Operating Models &amp; Stewardship: Define sustainable roles, responsibilities, and workflows across the organization.</li></ul>Leading Responsibilities:<ul><li>Analyze current data management and governance maturity levels, identify gaps, and propose actionable strategies for improvement.</li><li>Develop and tailor governance operating models, policies, and data stewardship frameworks.</li><li>Support data classification, lineage, and metadata management initiatives.</li><li>Assist in designing and implementing data quality measurement and monitoring systems.</li><li>Interview client stakeholders to understand pain points related to data ownership, access, and quality.</li><li>Support business case creation and roadmap planning for data governance programs.</li><li>Contribute to multi-disciplinary teams, providing expertise on data governance in architecture, processes, and operating models.</li><li>Create innovative and differentiated offerings, staying relevant and in sync with market demand and technology evolution.</li><li>Leveraging Accenture’s international assets and expertise to bring new ideas to clients.</li></ul>QualificationWHO WE´RE LOOKING FOR?<ul><li>Bachelor’s degree in computer science, information systems, data management, or equivalent.</li><li>3–5 years of cross-industry consulting or data governance experience.</li><li>Solid understanding of data governance frameworks, data management best practices, and regulatory requirements.</li><li>Experience with data governance and metadata tools (e.g., Collibra, Informatica, Alation) considered a plus.</li><li>Hands-on experience with data engineering concepts, including ETL development, pipelines, and building scalable data solutions.</li><li>Knowledge of Power BI or other leading BI tools for data visualization and reporting.</li><li>Knowledge of data modeling and enterprise architecture principles is a strong advantage.</li><li>Strong business acumen and ability to connect governance initiatives to business priorities.</li><li>Excellent verbal and written communication skills in Greek and English.</li></ul>WHAT'S IN IT FOR YOU?<ul><li>Competitive salary and comprehensive benefits package: life/health insurance, bonus scheme, monthly vouchers, flexible work model, paid overtime (if needed), TEA Accenture, and more.</li><li>Access to&nbsp;continuous learning&nbsp;through global platforms and local academies (Power Platform, AI, Azure certifications, etc.).</li><li>Clear&nbsp;career path&nbsp;with coaching and mentoring opportunities.</li><li>Exposure to top-tier clients, cross-industry projects, and cutting-edge technologies.</li><li>A diverse and inclusive culture that fosters innovation and teamwork.</li><li>Opportunities to participate in social impact and corporate citizenship initiatives.</li><li>Additional relocation support under the&nbsp;Brain Regain initiative.</li></ul>

Data Governance Consultant (Strategy & Consulting)

We are looking for a passionate and forward-thinking AIO Executive to boost our brand’s visibility across AI platforms such as ChatGPT, Gemini, and Claude. Working closely with the Content and Marketing teams, you will optimise content for AI-generated responses, strengthen our brand authority, and ensure accuracy and consistency across all AI touch points. If you are excited about the future of marketing in the age of AI and want to shape how users discover our brand through conversational platforms, this role is for you.&nbsp; <h2>The main responsibilities of the position include:</h2><ul><li>Perform Artificial Intelligence Optimisation (AIO) to improve brand presence and visibility across AI chatbots (e.g., ChatGPT, Gemini, Claude).&nbsp;</li><li>Develop and refine content designed for AI-generated responses, ensuring clarity through structured summaries, FAQ-style formatting, and well-defined information.&nbsp;</li><li>Build and sustain topical authority by strategically incorporating citations, reputable references, and credible sources.&nbsp;</li><li>Strengthen local authority through collaboration with Regional Marketing teams, create content in local languages and secure mentions from trusted local media and digital outlets to boost visibility in generative AI results.&nbsp;</li><li>Define and monitor key performance indicators (including visibility in AI-generated content, citation frequency, and engagement data) and provide actionable insights to stakeholders.&nbsp;</li><li>Partner with AI monitoring platforms (e.g., Otterly.AI or equivalent) to track and analyse how the brand is referenced in AI model outputs.&nbsp;</li><li>Apply prompt engineering techniques and technical content formatting (such as schema markup and structured data) to enhance Large Language Model (LLM) comprehension and accuracy.&nbsp;</li><li>Ensure factual accuracy, content integrity, and compliance through regular audits of AI-generated material.&nbsp;</li><li>Develop and update AIO frameworks, best practices, and operational guidelines for use across Marketing teams.&nbsp;</li><li>Coordinate AIO initiatives with Content Marketing, SEO, and other Marketing departments to maintain consistent brand messaging and conversational AI alignment.&nbsp;</li><li>Keep abreast of the latest trends and advancements in generative AI technologies, optimisation tools, and methodologies, adapting AIO strategies accordingly.&nbsp;</li></ul><h2>Main requirements:</h2><ul><li></li><li>Bachelor's degree in Digital Marketing or related field. &nbsp;</li><li>Minimum of 5 years’ experience in SEO, including at least 1&nbsp;year focused on AIO with a strong interest in AI-powered platforms and LLMs&nbsp;</li><li>Strong understanding of generative AI behaviour, LLM functionality, and how AI consumes content&nbsp;&nbsp;</li><li>Experience in the online trading or fintech industry will be considered an advantage. &nbsp;</li><li>Excellent communication and interpersonal skills. &nbsp;</li><li>Ability to work independently and collaborate within a team, prioritize tasks, and manage multiple projects in a fast-paced environment. &nbsp;</li><li>Excellent written and verbal communication skills in English. &nbsp;</li></ul><h2>Benefit from:</h2><ul><li></li></ul><ul><li>Attractive remuneration package</li><li>Private health insurance&nbsp;</li><li>Corporate pension fund&nbsp;</li><li>Intellectually stimulating work environment&nbsp;</li><li>Continuous personal development and international training opportunities&nbsp;</li></ul><h2>The Hiring Experience: What Awaits You</h2><ul><li></li></ul><ul><li>Let’s Connect – Intro Chat with Talent Acquisition&nbsp;</li><li>Deep Dive – First Interview with Your Future Team&nbsp;</li><li>Bring It to Life – Role-Specific Take-Home Task&nbsp;</li><li>Get Closer – Second Interview with the Future Team&nbsp;</li></ul>

AIO Executive

The Manager, Adoption, Value Metrics &amp; Tech Standards is accountable for providing support in analytics and technology adoption, leveraging comprehensive expertise in their discipline and a solid understanding of related fields. This role guides and may lead moderately complex projects, influencing departmental priorities and outcomes. The manager develops innovative solutions to resolve complex challenges, applies sound judgment and experience to independently address problems, and takes calculated risks to advance new concepts. By serving as a technical resource, the manager recommends improvements, collaborates across teams, and ensures that data-driven insights translate into actionable recommendations for senior stakeholders. This role will report directly to the Director, Adoption, Value Metrics &amp; Tech Standards.ROLE RESPONSIBILITIES Adoption<ul><li>Provide strong project management and collaboration to drive cross-functional efficiency and re-use, while supporting business goals across EA, Support &amp; Services.</li><li>Maintain and support EA document development, best practices and tech standards across the Architecture team and key stakeholder organizations.</li><li>Collaborate closely with enterprise architects and the larger AVS team to translate analytical findings into clear, meaningful recommendations that drive strategic decisions and continuous improvement.</li><li>Support execution of TechForward event for all Digital and Technology.</li></ul>Communications<ul><li>Draft and execute monthly communications and newsletters on ea.pfizer.com that influence priorities and outcomes across the department, ensuring alignment with enterprise architecture principles and digital strategy.</li><li>Support communications planning across Digital &amp; Technology, ensuring that the approach aligns with and is driven by EA priorities in a balanced and strategic manner.&nbsp;</li></ul>Metrics &amp; Reporting<ul><li>Maintain innovative metrics frameworks, and provide solution options that impact technology adoption, value realization, and technology standards evolution success—including dashboards and reports that track progress, adoption, and performance of EA initiatives.</li><li>Exercise sound judgment in selecting analytical methods, interpreting data, and shaping recommendations—working independently on complex problems while seeking input as needed.</li><li>Apply comprehensive knowledge of analytics and data visualization to serve as a technical resource and recommend improvements that enhance decision‑making across the organization.</li><li>Experiment with new techniques that elevate the maturity of insights and technology governance.</li></ul>BASIC QUALIFICATIONS<ul><li>Minimum of a bachelor’s degree (BS or BA) with higher academic qualification/degree preferred.</li><li>5+ years of relevant experience.</li><li>Candidate demonstrates a breadth of diverse experiences and capabilities including: the ability to influence and collaborate with peers and guide the work of other colleagues to achieve meaningful outcomes and create business impact.</li><li>A curious and highly motivated self-starter who can work effectively across cross-functional teams and can independently drive progress toward completion with proper planning and management</li><li>Ability to synthesize data into clear insights and actionable recommendations.</li><li>Strong project management and organizational skills.</li><li>Proven track record in process improvement, workflow optimization, and project management.</li><li>Power BI, Excel (advanced), and PowerPoint.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Experience on agile/scrum team a plus</li><li>Experience with Office365 SharePoint and Salesforce.com reports a plus</li></ul>NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS<ul><li>10-20% - Ability to travel domestically and internationally as needed</li></ul>

Manager – Adoption, Value Metrics and Tech Standards 4949713

As part of Accenture&nbsp;Data &amp; AI&nbsp;practice, specialized in AI (our general term for deep learning, NLP, computer vision, chatbots, VA and robotics), you will be responsible for building and deploying new AI solutions for Accenture’s clients to improve various business outcomes and drive innovation. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will also be part of a growing network of technology experts who are highly collaborative taking on today’s biggest, most complex business challenges.As an AI Foundational Model Analyst, you will:<ul><li>Develop, test and deploy Generative &amp; Agentic AI applications, including agent-based workflows.</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows and help optimize prompts for different use cases.</li><li>Experiment with prompting strategies (e.g., few-shot, chain-of-thought) and interact with open-source LLMs under the guidance of senior AI engineers.</li><li>Collaborate with AI engineers and software developers to deploy AI models into cloud environments (AWS, GCP, Azure).</li></ul>QualificationWHO WE´RE LOOKING FOR?<ul><li>Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.</li><li>0–2 years of experience in programming or working with Data &amp; AI projects (internships, university projects, or self-driven learning).</li><li>Demonstrated knowledge of programming in Python and/or other programming languages like Java.</li><li>Familiarity with Machine Learning, Transformers, Large Language Models (LLMs) and Generative AI concepts (e.g., fine-tuning, prompt-engineering, interacting with both open-source &amp; general-purpose AI systems) and a strong curiosity to learn more – hands-on experience will be considered a plus but not required.</li><li>Strong problem-solving skills, eagerness to learn, and the ability to work in a collaborative, global team.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Ability to think creatively to solve real world business problems</li><li>Ability to work in a global collaborative team environment</li><li>Familiarity with relational and NoSQL databases&nbsp;</li></ul>WHAT'S IN IT FOR YOU?<ul><li>Competitive benefits, including a fair and balanced parental leave policy.</li><li>At Accenture, we believe in bringing the best to our clients through continuous learning &amp; improvement – from basic skills to industry-specific content – available to all our people.</li><li>Career coaching and mentorship to help you manage your career and develop professionally.</li><li>Performance Achievement – our performance management process that focuses on your strengths, progress and career possibilities.</li><li>Fantastic opportunities to develop your career across a variety of clients.</li><li>Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work.</li></ul>

AI Foundation Model Analyst (Thessaloniki)

Chubb is seeking an&nbsp;IT Business Analyst&nbsp;to join our team.&nbsp;This is a permanent full-time position and a compelling opportunity to join a global, growing, financially stable and successful company.&nbsp; As an industry leader, Chubb is an employer of choice for skilled technology professionals aspiring to develop a meaningful career in a fast-paced, diverse company with offices in most major cities in the world.Responsibilities:<ul><li>Define, estimate and plan detailed approach to analysis work streams</li><li>Elicits, analyses, specifies and validates the business needs and requirements of stakeholders, be they customers, end users, internal or external.</li><li>Clearly identifies project stakeholders and establish customer classes, as well as their characteristics</li><li>Conducts interviews to gather customer requirements via workshops, questionnaires, surveys, site visits, workflow storyboards, uses cases, scenarios and other methods.</li><li>Identifies and establishes scope and parameters of requirements analysis on a project-by-project basis to define project impact, outcome criteria and metrics.</li><li>Researches, reviews and analyses the effectiveness and efficiency of existing requirements-gathering processes and develop strategies for enhancing or further leveraging these processes</li><li>Assists in conducting research on products to meet agreed upon requirements and to support purchasing efforts</li><li>Creates process models, specifications, diagrams, and charts to provide direction to developers and/or the project team.&nbsp;</li><li>Manages and tracks the status of requirements throughout the project lifecycle; enforce and redefine as necessary</li><li>Partner with other stakeholders teams across business units to develop necessary analysis and documentation in a collaborative way, communicating effectively and efficiently with production, managerial and executive teams</li><li>Understand the business domain/ needs and help convert those into effective IT solutions</li><li>Collaborate with BAs and other technical and non-technical resources to ensure holistic and complete solutions</li><li>Collaborate with project sponsors to determine project scope and vision.</li><li>Document these requirements into User stories and/or Business Specifications for review &amp; approval by business customers.</li><li>Provide on-site support and management of User Acceptance Testing</li><li>Provide peer reviews</li><li>Ensures that Change Management processes are adhered to</li><li>Provides business logic recommendations and solutions aligned with business objectives</li><li>Support Testing processes (both IT &amp; business testing)</li><li>Work with users to establish best practice principles</li><li>Play an active role in all phases of the project lifecycle, encompassing planning, functional design, development, testing, user liaison, training, deployment planning and execution, and end-user support.</li></ul>Qualifications<ul><li>4+ years of experience in a similar role</li><li>Practical experience of estimating and detailed planning of analysis work streams &amp; reporting against plan</li><li>Experience of designing and working within clearly structured frameworks and approach to analysis&nbsp;</li><li>Ability to complete User stories, Business Specifications, Use cases, Functional Specifications, Workflow Diagrams, Gap Analysis, Business Case, and ROI Analysis documents, as required</li><li>Expertise in business analysis tools and techniques (Including Agile, Scrum, Kanban)</li><li>Data driven evaluator using insight from markets, customers, competitors&nbsp;</li><li>Technical knowledge, understands architecture, development and systems</li><li>Confident stakeholder management skills</li><li>Process and requirements engineer, resolver of ambiguity and conflicts</li><li>Clear and concise communicator, understands and adapts to the audience</li><li>Influential knowledgeable and decisive</li><li>Skilled negotiator, manages complexity&nbsp;</li><li>Experience with Web technologies</li></ul>The following will be considered a plus:<ul><li>Experience using GenAI (Claude/CoPilot/Gemini) to support requirement definition and validation</li><li>Change Management experience is a plus.</li><li>Systems and business architecture knowledge is a plus.</li><li>Ability to take minimal direction and work independently with high precision/quality of output.</li><li>Experience working with teams across multiple countries.</li></ul>Our team makes the difference, every time. For this reason, we offer in return!We offer hybrid working model, explicit, structured career development, a competitive salary package, annual bonus, private medical cover, monthly allowance for lunch, continuous learning experiences, work in a fun, lively environment with mentoring from our groundbreaking senior mentors.

IT Business Analyst

At Pfizer, technology accelerates every facet of our mission. Within the AI Center of Excellence, the AI Quality Engineering team embeds trust, quality, and responsibility into every AI solution we deliver.As a Staff QA Engineer, you will lead the design and operation of enterprise‑grade evaluation frameworks, guardrails, and continuous quality pipelines that keep our models performant and safe. Your work enables teams across the company to ship AI solutions with confidence—meeting rigorous standards for accuracy, fairness, security, and compliance while driving measurable impact for patients and colleagues alike.Why this Role MattersThis role is pivotal in shaping the organization’s AI strategy and technical excellence. Your leadership will accelerate the adoption of cutting-edge AI technologies, foster a culture of innovation, and ensure that AI solutions are safe, reliable, and impactful at scale.ROLE RESPONSIBILITIES<ul><li>Define &amp; lead enterprise AI evaluation frameworks for model performance, robustness, fairness, bias, and safety across LLMs, traditional ML, and agentic AI systems.</li><li>Architect and operate pre‑release &amp; continuous evaluation (batch + online) integrated with CI/CD, including dataset versioning, synthetic test generation, and production quality gates.</li><li>Design, implement, and maintain guardrail services for hallucinations, prompt injection, PII leakage, unsafe content, and policy violations; instrument telemetry for detection, alerting, and drift tracking.</li><li>Run structured red‑teaming programs (jailbreaks, data exfiltration, adversarial prompts) and drive measurable mitigation with engineering teams; publish risk findings and remediation plans.</li><li>Encode quality &amp; compliance policies as automated checks, partnering with Enterprise Architecture and Compliance to meet internal standards and emerging regulations (e.g., EU AI Act).</li><li>Establish cross‑use‑case quality SLOs &amp; dashboards, reporting enterprise‑wide quality and safety metrics; lead post‑incident reviews and prevention programs.</li><li>Mentor QA/AI engineers on evaluation science, test design, and responsible AI practices; uplift engineering excellence and documentation quality across teams.</li><li>Collaborate with AI Engineering, Integrations &amp; Enablement teams to ensure evaluation hooks, observability, and policy gates are first‑class in our SDKs, APIs, and shared components.</li><li>Collaborate with AI Innovation team on continuously assess emerging evaluation methods &amp; tools, run rapid prototypes and PoCs, and advise on strategic adoption that improves quality, safety, and developer experience.</li></ul>BASIC QUALIFICATIONS<ul><li>Advanced degree in Computer Science, Engineering, Data Science, or related field.</li><li>7+ years in Software QA/AI QA/Quality Engineering, including ownership of test strategy for distributed or data‑intensive systems</li><li>Demonstrated experience building evaluation pipelines for ML/LLM systems: design of datasets/benchmarks, metrics for accuracy/robustness, and failure‑mode analysis (e.g., hallucination, bias, toxicity).</li><li>Strong fluency in software engineering best practices (automated testing, version control, CI/CD) and observability (logging, metrics, tracing) for model‑centric applications.</li><li>Hands‑on with MLOps concepts (model serving, deployment, feature/data versioning) and policy gating in release pipelines.</li><li>Ability to produce clear technical documentation (evaluation protocols, runbooks, API references) and developer‑friendly guides that scale adoption.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Experience in pharma/healthcare or other regulated environments (validation, auditability, GxP-adjacent controls).</li><li>Deep knowledge of LLM safety &amp; evaluation techniques: prompt‑injection defense, content moderation, RAG evaluation, context integrity, and bias/fairness testing.</li><li>Practical experience with evaluation libraries &amp; frameworks (e.g., Ragas, TruLens, DeepEval, OpenAI Evals) and guardrail tooling integrated with platform SDKs.</li><li>Familiarity with agentic AI behaviors and evaluation, including planner/tool‑use reliability, memory safety, and multi‑agent orchestration checks.</li><li>Experience leading red‑team programs and incident response; evidence of measurable risk reduction and improvement in safety KPIs. (Competency expectations at Staff level)</li><li>Contribution to open‑source or industry forums on Responsible AI, safety evaluation, or testing.</li></ul>&nbsp;

Staff QA Engineer 4949292

The Techno Functional Digital Master Data Solutions role supports functional and technical aspects of Global Digital ERP Master Data initiatives at Pfizer. Responsibilities include managing change requests and projects, delivering solutions through documentation, design, development, and testing in collaboration with diverse stakeholders across Pfizer's business and Digital teams. &nbsp;The successful candidate will possess robust functional and technical expertise, a thorough understanding of Agile methodologies, a commitment to continuous learning in digital technologies and solutions, and an interest in Material Master data governance across functions within a dynamic, collaborative, and fast-paced environment.<ul><li>Oversee Global Digital ERP Master Data Solutions to support Pfizer’s ongoing and new Master Data initiatives.</li><li>Ensure the delivery, availability, user experience, and continuous improvement of solutions.</li><li>Manage financial and project aspects of Digital initiatives, including the maintenance and updating of all Pfizer systems.</li><li>Implement, maintain, and assess Digital support strategies for Master Data in partnership with the ERP Support team.</li><li>Lead the design, development, and implementation of ERP Digital SAP Master Data Solutions, encompassing Bill of Material Engineering Change Management, Packaging Specifications, Lot Variable Control Document, Workflow functionality, integration with Manufacturing systems, Material Master, SAP MDG functionality, and SAP S4 Master Data functionality.</li><li>Provide regular updates to ensure alignment on strategies, priorities, status, risks, and mitigation plans.</li><li>Collaborate with business engagement and technical development teams to architect effective, efficient, and fit-for-purpose solutions that enable business capability and regulatory compliance.</li><li>Direct multi-disciplinary matrix project teams in the implementation of projects, maintaining resource plans and system updates.</li><li>Review business requirements with stakeholders to ensure accuracy, detail, and clarity, fostering a comprehensive understanding of process, people, and technology impacts.</li><li>Deliver solutions in accordance with Pfizer Digital standards, including SDLC, Enterprise Platforms &amp; Security, Digital Compliance, and Regulatory Risk Management.</li><li>Guide and approve training package development for SAP Master Data Solutions.</li><li>Drive exceptional execution across a diverse portfolio of solutions spanning multiple applications, technologies—including SAP and non-SAP platforms—and emerging digital tools.</li><li>Collect requirements, perform GAP analysis, specify system integration points, and oversee overall system design to establish fully functional development, testing, and production environments.</li><li>Coordinate activities among cross-functional teams distributed across various geographical locations.</li><li>Translate high-level business needs into detailed functional and technical specifications.</li><li>Manage the design, configuration, development, testing, and implementation phases of projects.</li><li>Provide technical and functional guidance to internal Pfizer clients, including teams focused on data, infrastructure, integration, and security.</li></ul>Here Is What You Need (Minimum Requirements)<ul><li>Bachelor’s degree in computer science, engineering, or supply chain.</li><li>Minimum 5 years’ relevant technology experience, including SAP Master Data (Material Master, MDG, BOM, ECM, Workflows, EHS module).</li><li>Experience with O365 and collaboration tools.</li><li>Proven track record leading global digital projects in pharma.</li><li>Strong project and financial management skills.</li><li>Demonstrated consultative, strategic, analytical, and problem-solving abilities.</li><li>Effective oral, written communication and presentation skills.</li><li>Leadership skills: influence, collaboration, coaching, and overseeing teams to achieve business outcomes.</li></ul>Bonus Points If You Have (Preferred Requirements)<ul><li>Experience with S4 HANA and SAP MDG for master data configuration.</li><li>Knowledge of SAP programming, Fiori Apps, OData, BADI/BAPI debugging.</li><li>Programming language proficiency.</li><li>Configuration and functional customization expertise.</li><li>Experience with web services (REST, SOAP).</li><li>Supply chain or project management certifications (CPIM, CSCP, PMP); project management experience a plus.</li><li>Agile Software Delivery and/or Scrum Master certification.</li><li>Strong knowledge of GMP IT system design and maintenance lifecycle </li></ul>

Techno Functional Manager - Digital Master Data Solutions 4948248

As Manager, Software Engineer (Individual Contributor), you will contribute to the design and development of modular AI capabilities within the Enterprise AI Capability Design Team. Your focus will be on implementing SDK components, interfaces, and supporting modules that enable internal teams and the broader community to integrate AI capabilities seamlessly into applications. You will work under the guidance of senior engineers and architects, gaining exposure to API design, modular architecture, and cloud-native development while progressively taking ownership of components.You will collaborate closely with:<ul><li>Embedded AI Architecture Team and Solution Design Team to ensure SDK interfaces align with real-world solution patterns.</li><li>AI Engineering Team for PI increments and integration of external technologies.</li><li>Digital Creation Centers and Forward Impact Teams (FITs) to capture feedback and improve usability.</li></ul>This role is designed for engineers with strong software development experience and a growth mindset, eager to deepen expertise in AI engineering, system design, and SDK architecture.Why this Role MattersManager-level Software Engineers are the builders and maintainers of our AI capability SDK. By delivering well-structured, tested, and documented components, you enable reuse, scalability, and developer experience excellence—critical for accelerating AI adoption across the enterprise.ROLE RESPONSIBILITIES1) SDK Component Development<ul><li>Implement modular SDK components for AI capabilities, including:<ul><li>RAG pipeline elements (parsers, chunkers, enrichers, retrievers, connectors)</li><li>Agent and tool cookiecutters with MCP adaptors</li><li>Interfaces for community-driven extensions</li></ul></li><li>Ensure code adheres to software quality standards for reusability, maintainability, security, readability, and versioning.</li></ul>2) Testing &amp; Quality Assurance<ul><li>Write unit and integration tests for SDK components; collaborate with QA engineers to ensure coverage at various levels (statement / branch / function etc…).</li><li>Integrate logging, metrics, and tracing into SDK components to support observability and troubleshooting.</li><li>Participate in code reviews and maintain compliance with coding standards and security guidelines.</li><li>Contribute to benchmarking and performance validation for new modules.</li></ul>3) Documentation &amp; Developer Experience<ul><li>Produce clear API documentation, usage guides, and code samples for assigned components.</li><li>Support Developer Experience engineers in creating quickstarts and integration guides.</li><li>Ensure documentation aligns with Confluence structure and department standards.</li></ul>4) Collaboration &amp; Continuous Improvement<ul><li>Work closely with Senior Manager, Software Engineer and AI Capability Architecture Lead for design guidance and technical reviews.</li><li>Partner with Embedded AI Architects and Solution Designers to validate SDK interfaces against solution patterns.</li><li>Engage with AI Engineering Team to integrate external technologies and align on PI increments.</li></ul>5) Growth &amp; Skill Development<ul><li>Build proficiency in cloud-native architecture, AI integration patterns, and modular SDK design.</li><li>Participate in knowledge-sharing sessions, retrospectives, and enablement forums.</li><li>Progressively take ownership of more complex components and contribute to architectural discussions.</li></ul>MEASURES OF SUCCESS<ul><li>Component quality: Code meets standards for modularity, maintainability, and performance.</li><li>Testing coverage: High unit/integration test coverage; minimal defects post-release.</li><li>Documentation completeness: Clear API docs, usage guides, and samples delivered with each component.</li><li>Collaboration effectiveness: Positive feedback from senior engineers, architects, and consuming teams.</li><li>Skill progression: Demonstrated growth toward senior-level responsibilities and architectural contributions.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>5+ years in software engineering roles with experience in API development and modular design.</li><li>Proficiency in Python (required) and familiarity with Java or TypeScript.</li><li>Experience with cloud platforms (Azure, AWS, or GCP)and containerized environments.</li><li>Strong understanding of CI/CD pipelines, automated testing, and code quality practices.</li><li>Ability to produce clear documentation and developer-friendly code samples.</li><li>Proficiency in Git-based workflows (feature branches, PR reviews, semantic versioning)</li></ul>Preferred Qualifications<ul><li>Exposure to AI/ML frameworks (PyTorch, TensorFlow) and GenAI/LLM ecosystems (RAG, vector databases, agent frameworks).</li><li>Contribution to open-source projects and/or community-driven extensions.</li><li>Understanding of observability and security-by-design principles.</li><li>Experience with performance tuning and benchmarking for SDK components.</li></ul>

Manager, Software Engineer 4949164 

As Manager, Technical Writer (Individual Contributor), you will serve as the senior technical writing expert within the AI Architecture &amp; Solution Design department. Your mission is to define and uphold documentation standards and structure for SDKs, modules, and solution patterns, ensuring clarity, consistency, and discoverability across all artefacts. You will work closely with AI Architects, Solution Designers, and Operations Excellence to make documentation a first-class enabler of adoption and reuse.You will lead by expertise, not direct management—acting as the bar-raiser for technical writing quality and mentoring junior writers informally. Beyond documentation, you will contribute to knowledge surfacing and enablement, including indexing solution patterns and supporting tools (e.g., intelligent agents) that help teams find the right SDK or design quickly. You will also play a supporting role in operations feedback, ensuring documentation standards enable operationalizing the SDK and AI Solution patterns across Creation Centers and digital teams.Why this Role MattersDocumentation is the gateway to adoption and reuse. Without clear, indexed, and actionable artefacts, even the best AI capabilities and solution patterns fail to scale. This role ensures that every SDK, module, and architecture pattern is discoverable, understandable, and implementable, reducing bespoke engineering and accelerating time to value.ROLE RESPONSIBILITIES1) Documentation Standards &amp; Structure<ul><li>Define and maintain documentation standards for SDKs, modules, and solution patterns, including required sections (overview, usage, integration steps, evaluation notes, security/privacy considerations).</li><li>Establish and enforce Confluence structure for indexing and surfacing artefacts; ensure logical hierarchy, tagging, and cross-linking for easy navigation.</li><li>Create templates and style guides for architecture artefacts, release notes, and design exemplars; ensure consistency across teams.</li></ul>2) SDK &amp; Module Documentation<ul><li>Partner with Enterprise AI Capability Design Team and community contributors to produce clear, developer-friendly documentation for SDKs and modules.</li><li>Ensure documentation includes code samples, quickstarts, integration guides, and troubleshooting tips; maintain parity between SDK and service documentation.</li><li>Validate documentation completeness during release readiness checks; track gaps and drive remediation.</li></ul>3) Solution Pattern Indexing &amp; Enablement<ul><li>Curate and document solution patterns with supporting material on “when, why, and how” to use them; collaborate with Solution Designers and AI Architects for accuracy.</li><li>Build and maintain a searchable index of patterns and exemplars; ensure discoverability across Confluence and internal portals.</li><li>Contribute to enablement tools (e.g., intelligent agents) that recommend patterns and modules based on user needs, linking back to documentation and design artefacts.</li></ul>4) Operational Feedback &amp; Continuous Improvement<ul><li>Support operations management activities: observe how documentation standards are applied by Creation Centers and digital teams; capture feedback and propose improvements.</li><li>Participate in retrospectives and process reviews; adjust documentation structure and templates to maximize adoption and usability.</li><li>Ensure documentation supports auditability for compliance, security, and governance requirements.</li></ul>5) Informal Mentorship &amp; Expertise<ul><li>Act as the senior technical writing authority; mentor junior writers informally and provide guidance on complex documentation challenges.</li><li>Promote knowledge sharing and best practices across the department; run documentation clinics and learning sessions.</li></ul>MEASURES OF SUCCESS<ul><li>Documentation completeness and quality: SDKs/modules and solution patterns meet standards; fewer gaps at release readiness.</li><li>Discoverability and adoption: Increased usage of indexed patterns and SDK documentation; positive feedback from consuming teams.</li><li>Operational alignment: Documentation standards consistently applied across Creation Centers; feedback loop drives continuous improvement.</li><li>Enablement impact: Intelligent tools and indexing reduce time to find relevant patterns and modules.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>5+ years in technical writing or documentation roles within software development environments.</li><li>Proven ability to define and enforce documentation standards and structures for complex technical artefacts.</li><li>Strong familiarity with software development lifecycle, APIs, SDKs, and integration patterns; ability to translate technical concepts into clear, actionable content.</li><li>Ability to interpret system diagrams (Data Flow, Sequence Diagrams) and translate them into clear documentation</li><li>Excellent communication and organizational skills; adept at managing multiple priorities and stakeholders.</li></ul>Preferred Qualifications<ul><li>Experience with AI/ML or GenAI projects; understanding of common patterns (RAG, agentic workflows, evaluation frameworks).</li><li>Hands-on experience with Confluence or similar knowledge management platforms; ability to design logical structures and indexing strategies.</li><li>Background in software engineering (as a developer or technical contributor) is a strong plus.</li><li>Familiarity with CI/CD pipelines, version control, and release documentation practices.</li><li>Experience with markup languages (Markdown) and API documentation standards (OpenAPI/Swagger) is a plus</li><li>Exposure to regulated environments (healthcare, pharma, finance) and audit-ready documentation standards.</li></ul>

Manager, Technical Writer 4949154

As Senior Manager, Software Engineer (Individual Contributor), you will be a senior technical authority within the Enterprise AI Capability Design Team, responsible for designing and implementing modular, reusable AI capabilities in the form of SDKs and associated components. Your mission is to build developer-first, extensible SDKs that enable internal teams and the broader community to integrate AI capabilities seamlessly into applications, while maintaining consistency, quality, and performance.You will design and implement core modules for RAG pipelines, agent and tool cookiecutters, MCP adaptors, and standardized interfaces that allow community-driven extensions. You will also collaborate on automated pipelines for code quality checks, benchmarking, and integration tests, ensuring every capability meets enterprise-grade standards for reliability, security, and observability.This role requires close collaboration with:<ul><li>Embedded AI Architecture Team and Solution Design Team to prioritize capabilities and define SDK interfaces aligned to real-world solution patterns.</li><li>AI Engineering Team, which actively develops PI increments of the SDK and integrates external technologies.</li><li>Digital Creation Centers and Forward Impact Teams (FITs), who will consume these capabilities in product delivery and provide feedback for continuous improvement.</li></ul>Why this Role MattersThis role is the engineering backbone of our AI capability strategy. By delivering high-quality SDKs and reusable modules, you enable rapid adoption, reduce bespoke engineering, and ensure parity between SDK and service implementations. Your work directly impacts developer experience, scalability, and the ability to operationalize AI capabilities across the enterprise.ROLE RESPONSIBILITIES1) SDK &amp; Module Development<ul><li>Design and implement modular SDK components for AI capabilities, including:<ul><li>RAG pipeline modules (parsers, chunkers, enrichers, retrievers, rankers, connectors)</li><li>Cookiecutters for agents and tools with MCP adaptors</li><li>Standardized interfaces for community-driven extensions</li></ul></li><li>Ensure SDKs are extensible, composable, and versioned with clear upgrade paths.</li></ul>2) Collaboration &amp; Interface Definition<ul><li>Work closely with Embedded AI Architects and Solution Designers to define SDK interfaces and design patterns based on prioritized use cases.</li><li>Partner with AI Engineering Team to integrate external technologies, validate new components, and align on PI increments for SDK evolution.</li><li>Engage with Digital Creation Centers and FITs to capture feedback on usability, performance, and integration experience.</li></ul>3) Code Quality &amp; Testing Automation<ul><li>Collaborate with Evaluation &amp; QA Engineers to integrate unit, integration, and performance tests into CI/CD pipelines.</li><li>Implement automated code quality checks, linting, and security scans for SDK components.</li><li>Contribute to benchmarking frameworks for new modules and features.</li></ul>4) Developer Experience &amp; Enablement<ul><li>Work closely with Developer Experience Engineers to deliver clear APIs, ergonomic SDK design, and developer-friendly documentation.</li><li>Provide quickstarts, code samples, and integration guides to accelerate adoption.</li><li>Participate in community enablement efforts, ensuring SDK interfaces are intuitive and extensible.</li></ul>5) Architecture &amp; Standards Alignment<ul><li>Align SDK design with enterprise architecture principles, ensuring parity with service implementations.</li><li>Collaborate with AI Capability Architecture Lead on interface contracts, observability hooks, and security-by-design patterns.</li><li>Maintain semantic versioning and backward compatibility policies for SDK releases.</li></ul>MEASURES OF SUCCESS<ul><li>SDK quality and adoption: High developer satisfaction; increased reuse across products; minimal bespoke implementations.</li><li>Release health: Predictable release cadence; automated quality gates; successful integration tests.</li><li>Performance and reliability: SDK modules meet latency, throughput, and cost targets; observability hooks implemented.</li><li>Community engagement: Positive feedback on extensibility and contribution workflows; active feature branch participation.</li><li>Documentation completeness: Clear quickstarts, code samples, and integration guides delivered with each release.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in software engineering roles with strong experience in API/SDK design and modular architecture.</li><li>Proficiency in modern programming languages (Python required).</li><li>Hands-on experience with cloud-native development (Azure, AWS, or GCP) and containerized environments.</li><li>Strong understanding of CI/CD pipelines, automated testing, and code quality practices.</li><li>Ability to produce developer-friendly SDKs with clear documentation and ergonomic interfaces.</li><li>Proficiency in Git-based workflows (feature branches, PR reviews, semantic versioning)</li></ul>Preferred Qualifications<ul><li>Experience with AI/ML frameworks (PyTorch, TensorFlow) and GenAI/LLM ecosystems (prompt tooling, RAG, vector databases, agent frameworks).</li><li>Contribution to open-source projects and/or community-driven extensions.</li><li>Exposure to observability tooling (metrics, tracing, logging) and security-by-design principles.</li><li>Background in performance engineering and benchmarking for AI workloads.</li><li>Experience in regulated environments with audit-ready documentation and compliance standards.</li></ul>&nbsp;

Senior Manager, Software Engineer 4949163 

As part of Data &amp; AI practice, you will combine AI &amp; ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape.You will lead multidisciplinary teams (onshore and offshore) to design and implement solutions using Python, PySpark, Databricks and modern cloud services, ensuring data flows are secure, reliable, performant, and well‑governed.Responsibilities:<ul><li>Lead and mentor a technical team (5–8 engineers) in designing and delivering data‑engineering solutions across cloud platforms (Azure/AWS/GCP).</li><li>Architect, develop, and optimize ETL/ELT pipelines using Python, PySpark, Databricks, and distributed processing frameworks.</li><li>Design and maintain scalable data architectures, including data lakes, lakehouses, warehouses, Delta tables, and semantic layers.</li><li>Establish best practices in data modelling (dimensional, wide‑table, data vault), data quality, metadata management, and data governance.</li><li>Collaborate with business owners, architects, product managers, and analytics teams to ensure end‑to‑end project delivery.</li><li>Define standards for data operations, monitoring, lineage, and CI/CD for data workloads.</li><li>Drive cloud platform adoption and modernization, ensuring solutions meet performance, cost‑efficiency, and compliance requirements.</li><li>Promote innovation by evaluating new data engineering tools, frameworks, and practices.</li><li>Mentor junior team members, providing guidelines to ensure high-quality deliverables.</li><li>Communicate complex technical solutions to senior management and diverse stakeholders effectively.</li><li>Contribute to sales activities through data and platform architecture expertise</li><li>Stay updated on industry trends and contribute to internal initiatives, R&amp;D, and business development projects.</li></ul>QualificationWHO WE’RE LOOKING FOR?<ul><li>BSc/MSc/PhD in Computer Science, Engineering, Information Systems, Data Management, or related field.</li><li>7+ years of experience in data engineering, with at least 2 years leading small technical teams.</li><li>Industry vendor certifications are desired (e.g. AWS, Azure, GCP, CNCF/Kubernetes or Databricks certifications); although not essential if you have demonstrable ability.</li><li>Strong hands‑on expertise with Python, PySpark, and Databricks (including Lakehouse &amp; Databricks Workflows).</li><li>Experience designing and deploying data solutions on Azure, AWS, or GCP.</li><li>Strong understanding of data modelling techniques, data lifecycle management, and enterprise data principles.</li><li>Expertise in designing, developing, and managing scalable, end-to-end data pipelines (ADF, Airflow or dbt,).</li><li>Proficient in Big Data Platforms (Hadoop, Databricks, Hive, Kafka, Apache Iceberg or Microsoft Fabric), Data Warehouses (Teradata, Snowflake, BigQuery etc.) and lakehouses (Delta Lake, Apache Hudi)</li><li>Proficient in programming languages such as SQL, Python and Pyspark with strong skills in writing scalable, readable and maintainable code using object-oriented programming concept.</li><li>Implement DevOps practices, including Git workflows and CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) to enhance automation and streamline deployments.</li><li>Experience in project management frameworks such as Waterfall or Agile.</li><li>Solid experience with SQL and handling large datasets.</li><li>Familiarity with data governance frameworks (e.g., data quality controls, cataloging, lineage, roles &amp; policies).</li><li>Excellent communication skills—able to translate complex data concepts to both technical and non‑technical stakeholders.</li></ul>Considered a plus (not a prerequisite):<ul><li>Experience with Azure Data Factory, AWS Glue, or GCP Dataflow.</li><li>Experience with Microsoft Fabric solutions</li><li>Knowledge of Lakehouse architecture, Delta Live Tables, and Medallion design patterns.</li><li>Familiarity with CI/CD, DevOps, containerization (Docker/Kubernetes).</li><li>Exposure to data management tools (Purview, Collibra, Informatica, BigID, etc.).</li><li>Experience with different data execution paradigms, including low latency/streaming, batch, and micro-batch processing (Apache Kafka, Databricks Streaming processing, Apache StreamSets).</li><li>Knowledge of data management frameworks (data governance, data quality, data security, data dictionary, metadata management) with tools like Databricks Unity Catalog, Apache Atlas, Informatica etc.</li><li>Familiarity with containerization and orchestration tools like Docker and Kubernetes.</li><li>Understanding of API gateway and service mesh architectures (e.g., Istio).</li><li>Familiarity working with Linux-based operating systems.</li><li>Familiarity with working with REST APIs.</li><li>Experience in pre‑sales, solutioning, or client‑facing delivery leadership.</li><li>Fluency in English (verbal and written).</li><li>All male candidates should have fulfilled their military obligations.</li></ul>WHAT’S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave and various corporate discounts</li><li>Continuous training &amp; development through global platforms &amp; local academy. At Accenture, we believe in bringing the best to our clients through continuous learning &amp; improvement – from basic skills to industry-specific content – available to all our people</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strength and skill-based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work</li></ul>

Job Ads Intern Μακεδονία, Information Technology / It - Page 3

senior java developer

Code.Hub

senior software engineer (athens or thessaloniki)

Accenture

senior associate, solutions engineer 4949847

Pfizer Hellas

senior manager, devops 4949161

Pfizer Hellas

data governance consultant (strategy & consulting)

Accenture

aio executive

XM

manager – adoption, value metrics and tech standards 4949713

Pfizer Hellas

ai foundation model analyst (thessaloniki)

Accenture

it business analyst

CHUBB

staff qa engineer 4949292

Pfizer Hellas

techno functional manager - digital master data solutions 4948248

Pfizer Hellas

manager, software engineer 4949164

Pfizer Hellas

manager, technical writer 4949154

Pfizer Hellas

senior manager, software engineer 4949163

Pfizer Hellas

data engineering manager (data & ai)

Accenture

Also hiring nearby:

Jobily.gr

For Employers

For Job Seekers

Company