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We are looking for a talented and business-oriented&nbsp;Warehouse Management System &nbsp;Consultant&nbsp;&nbsp;&nbsp;to join our high-performing team and contribute to the successful delivery of innovative warehouse management solutions for leading organizations.Your contribution to the team<ul><li>Participate in the implementation, support, and optimization of WMS/logistics solutions for partners and end customers.</li><li>Analyze warehouse operations and business processes and translate requirements into effective system solutions.</li><li>Configure the WMS application according to customer operational needs.</li><li>Investigate and troubleshoot functional and data-related issues using system tools, logs, and SQL queries.</li><li>Support partners and users during project implementations, testing, go-live, and post-production operation.</li><li>Deliver training sessions for users and partner teams.</li><li>Collaborate with consultants, developers, and support teams to ensure successful project delivery and customer satisfaction.</li></ul>Your qualifications &amp; competencies<ul><li>Degree in Computer Science, Information Technology, Logistics, Supply Chain, Engineering, or related field.</li><li>Experience with ERP, WMS, or business software solutions is considered an advantage.</li><li>Good understanding of SQL and relational databases (preferably SQL Server).</li><li>Strong analytical and problem-solving skills with the ability to troubleshoot complex operational scenarios.</li><li>Interest in warehouse operations, logistics processes, and business systems.</li><li>Ability to communicate effectively with both technical and business users.</li><li>Customer-oriented mindset with strong sense of ownership and teamwork.</li><li>Fluency in Greek and English (written and spoken).</li></ul>Your BenefitsWe are growing our team with the vision of having top performers who contribute directly to the growth of the company. As a result, we offer:💰Competitive remuneration package❤️Private health insurance plan🏠Hybrid working model💯Opportunity to work alongside people who are always eager to mentor🚍Transportation with company’s bus from central stations📖 Funded training &amp; development opportunities🥪Catering food services

Warehouse Management System Consultant

We’re&nbsp;looking for a Data Architect to drive the design, evolution, and governance of data architecture across the organization. In this role,&nbsp;you’ll&nbsp;collaborate closely with multiple functional groups and technology leaders to translate business needs into scalable, well-structured data solutions.&nbsp;You’ll&nbsp;provide&nbsp;best-practice guidance on data management, modeling, and architecture design, ensuring data platforms are robust, efficient, and aligned with strategic&nbsp;objectives.&nbsp;This is an exciting opportunity to shape data-centric initiatives, influence enterprise-level decisions, and enable teams to&nbsp;leverage&nbsp;high-quality data in support of impactful business outcomes.<h2>The main responsibilities of the position include:</h2><ul><li></li></ul><ul><li>Develop conceptual, logical, and physical data models, focusing on design (structure, semantics, constraints, and alignment to business meaning), including key physical design considerations such as indexing and partitioning&nbsp;</li><li>Define and&nbsp;maintain&nbsp;reference and target data architectures (including standards and reusable patterns) across operational systems, event/streaming platforms, and analytical environments (data warehouse/lakehouse)&nbsp;</li><li>Drive architectural decision-making and trade-offs (e.g., consistency, performance, scalability, cost, operability, security), and contribute to architecture documentation practices that capture and govern those decisions&nbsp;</li><li>Support the implementation of the organizational data strategy, including database design standards, data warehouse architecture, standards and guidance, and analytics platform integration&nbsp;</li><li>Assist&nbsp;with the deployment and extension of the Enterprise Data Catalogue&nbsp;</li><li>Contribute to the creation and maintenance of architecture processes and documentation standards&nbsp;</li><li>Partner closely with project teams as an embedded contributor, guiding schema design, physical design choices (e.g., indexing and partitioning), data access patterns, and query optimization best practices, supporting teams through design reviews and delivery&nbsp;</li><li>Advise project teams on the end-to-end data product lifecycle, from platform selection through testing and implementation&nbsp;</li><li>Govern changes to architectural artefacts and ensure systems conform to&nbsp;established&nbsp;data architecture guidelines&nbsp;</li><li>Define data flows and integration patterns across applications and services, including operational systems, streams, and analytical platforms (batch and real-time), with clear ownership and information dissemination patterns&nbsp;</li></ul><h2>Main requirements:</h2><ul><li>BSc/MSc in Computer Science, Information&nbsp;Technology&nbsp;or related field.&nbsp;</li><li>Minimum of 3 years of experience in data modelling, data engineering, database design, or data architecture roles.&nbsp;</li><li>Strong&nbsp;expertise&nbsp;in conceptual, logical, and physical data&nbsp;modelling, with solid SQL skills to bring designs to life.&nbsp;</li><li>Proficiency&nbsp;in Python for data-related work (e.g., automation, prototyping, analysis, validation, data quality checks, and tooling around data pipelines/integrations).&nbsp;</li><li>Experience working with cloud-based data platforms and modern data warehouse or&nbsp;lakehouse&nbsp;architectures&nbsp;</li><li>Good understanding of software development lifecycles, requirements analysis, and technical design best practices.&nbsp;</li><li>A collaborative mindset, with the ability to build trusted relationships across business and technical teams.&nbsp;</li><li>Exposure to&nbsp;data governance, metadata management, and data quality frameworks, with an appreciation for well-managed data.&nbsp;</li><li>Confidence in advising on ETL/ELT patterns, data integration solutions, and data orchestration technologies.&nbsp;</li><li>Experience in graph databases, vector databases/semantic search capabilities, feature stores, or related ML/AI data architectures would be considered a plus.&nbsp;</li><li>A proactive, self-driven professional who thrives in agile environments and enjoys shaping scalable data solutions.&nbsp;</li></ul><h2>Benefit from:</h2><ul><li>Attractive&nbsp;remuneration&nbsp;package&nbsp;&nbsp;</li><li>Private health insurance&nbsp;</li><li>Corporate pension fund&nbsp;&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>Let’s&nbsp;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>Final Connection – Final Interview &nbsp;</li></ul>All applications will be treated with strict confidentiality!

Data Architect

That’s where&nbsp;Accenture Strategy &amp; Consulting - Data &amp; AI&nbsp;comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients.&nbsp;Strategy and Consulting&nbsp;is one of four services –the others are Song, Technology and OperationsWORK YOU’LL DOAs 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.Key Responsibilities:<ul><li>Assist in the development and optimization of scalable data pipelines and workflows in cloud environments.</li><li>Support senior data engineers and architects by gathering requirements and helping define robust data models and architecture.</li><li>Apply DevOps practices, including basic Git workflows and involvement in CI/CD pipelines.</li><li>Contribute to maintaining data quality, security, and governance standards across all data-related activities.</li><li>Collaborate with cross-functional teams to ensure data solutions align with business needs and quality standards.</li><li>Research, design, build, and implement Machine Learning systems, and maintain, and improve existing ones</li></ul>show lessQualificationsWHO WE´RE LOOKING FOR?&nbsp;<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>Some experience or internships in data engineering or a related field, demonstrating foundational skills. Proficiency in SQL and experience with programming languages such as Python or PySpark.</li><li>Understanding of data modeling concepts and databases/data warehouses (Azure Synapse Analytics, Databricks SQL Warehouse, Snowflake, SQL Server or Big Query).</li><li>Familiarity with ETL tools such as (Data Factory, dbt, Airflow, Apache Nifi or Informatica).</li><li>Familiarity with cloud platforms (Azure, AWS, or GCP).</li><li>Good analytical skills and a problem-solving mindset.</li><li>Ability to collaborate in multinational environments.</li><li>Willingness to travel and proficiency in Greek and English.</li></ul>Considered a plus:<ul><li>Some exposure to big data technologies and parallel processing tools such as Apache Hive, Spark, Kafka or Flink.</li><li>Familiarity with the Databricks platform, including its components like Delta Lake, Databricks SQL, and Mlflow for comprehensive big data analytics and machine learning workflows.</li><li>Familiarity with data management frameworks (data governance, data quality, data security, data dictionary, metadata management).</li><li>Understanding of DevOps practices, including Git workflows and CI/CD pipelines with experience using tools such as Azure DevOps, Jenkins, and GitHub Actions.</li><li>Enthusiastic about learning and adopting new technologies and methodologies.</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>

AI & Data Engineer

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>

Data Engineering Manager (Data & AI)

Intellectica is recruiting a Senior AI &amp; Data Engineer on behalf of a leading technology services group headquartered in Athens, Greece, operating under a hybrid working model. The selected candidate will join a high-performing Data &amp; AI team and will play a pivotal role in designing, developing, and deploying cutting-edge AI solutions, contributing to transformative initiatives that enhance business performance, unlock new value streams, and drive innovation across diverse industries.Key activities and responsibilities of this role include:&nbsp;<ul><li>Leading the end-to-end design and delivery of scalable data and machine learning solutions, aligning technical architecture with business objectives and strategic priorities</li><li>Collaborating globally with data engineers, architects, and business stakeholders to define robust data architecture and modeling requirements</li><li>Developing and optimizing ETL processes to integrate data from multiple sources, ensuring high data quality and reliability</li><li>Adhering to software engineering best practices to deliver maintainable, scalable, and resilient data solutions</li><li>Researching, designing, building, implementing, maintaining, and continuously improving Machine Learning systems</li><li>Communicating complex technical solutions clearly to senior management and diverse stakeholders</li><li>Mentoring junior team members, providing guidance to ensure high-quality deliverables</li><li>Contributing to sales activities through expertise in data and platform architecture</li><li>Staying current with industry trends and contributing to internal initiatives, R&amp;D, and business development projects</li><li>Any other task that may be required from time to time</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree or PhD will be considered an asset</li><li>Minimum of 3 years in data engineering, with a strong emphasis on cloud environments - AWS, GCP, Azure, or Cloud Native platforms</li><li>Proven expertise in designing and managing scalable, end-to-end data pipelines (ADF, Airflow, dbt), across batch, micro-batch, and streaming architectures (e.g., Kafka, Databricks Structured Streaming, StreamSets)</li><li>Strong experience with Big Data platforms (Hadoop, Databricks, Hive, Kafka, Apache Iceberg, Microsoft Fabric), Data Warehouses (Teradata, Snowflake, BigQuery), and Lakehouse architectures (Delta Lake, Apache Hudi), along with solid knowledge of data governance, quality, security, and metadata management (e.g., Unity Catalog, Apache Atlas, Informatica)</li><li>Proficiency in SQL, Python, and PySpark, writing scalable and maintainable code using object-oriented principles, with practical experience in REST API integration and Linux-based environments</li><li>Experience implementing DevOps and MLOps practices, including Git workflows, CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions), containerization and orchestration (Docker, Kubernetes), MLflow, and service mesh/API gateway architectures (e.g., Istio)</li><li>Familiarity with Agile and Waterfall delivery methodologies</li><li>Industry certifications (AWS, Azure, GCP, CNCF/Kubernetes, Databricks) are considered an asset; demonstrable hands-on expertise is equally valued</li><li>Fluency in Greek with professional-level English communication skills</li></ul>&nbsp;&nbsp;Core competencies of a successful candidate:<ul><li>Strong creative problem-solving skills, with a focus on addressing real-world business challenges</li><li>Comfortable working within a global, highly collaborative team environment</li><li>Demonstrated leadership skills, setting clear priorities and driving effective execution</li><li>Proactive, dependable, and results-driven professional mindset</li><li>Willingness and flexibility to travel occasionally as required</li></ul>&nbsp;

Senior AI & Data Engineer

Our&nbsp;Data Engineering Team&nbsp;as part of our Engineering, AI &amp; Data service line in Thessaloniki operates in diverse teams, has a detail-oriented mindset and analytical thinking skills, understands and interpret business requirements and transform them into actionable data processes. In your role in Deloitte, you will be focused on functional analysis and development of data management processes, while working with a progressively - increasing autonomy within multi-functional teams.For a full coverage of your role, you ought to be able to:•&nbsp;&nbsp;&nbsp;&nbsp;Design and implement PaaS solutions using Public Cloud offerings and hybrid clouds.•&nbsp;&nbsp;&nbsp;&nbsp;Design and build data analytics solutions on the cloud and on-premise.•&nbsp;&nbsp;&nbsp;&nbsp;Design and Develop data pipelines / APIs /ETLs using Python, SQL, PySpark or SSIS and Azure or AWS Methods.•&nbsp;&nbsp;&nbsp;&nbsp;Work with large relational databases and big data platforms on data management platforms development and optimization•&nbsp;&nbsp;&nbsp;&nbsp;Build large-scale batch and real-time data pipelines with data processing frameworks in AWS or Azure cloud platform.•&nbsp;&nbsp;&nbsp;&nbsp;Produce a high-quality work product and collaborate with others to deliver a superior client experience•&nbsp;&nbsp;&nbsp;&nbsp;Use an analytical, data-driven approach to drive a deep understanding of fast-changing business.•&nbsp;&nbsp;&nbsp;&nbsp;Deliver key messages with clarity, confidence and poise to instill confidence in clients•&nbsp;&nbsp;&nbsp;&nbsp;Apply a global and diverse perspective to problem solving•&nbsp;&nbsp;&nbsp;&nbsp;Work with a distributed team and deliver your tasks independently•&nbsp;&nbsp;&nbsp;&nbsp;Fruitfully cooperate with inter-functional and international teamsTechnologies you will work with include but are not limited to, Azure Data Factory, Databricks, Airflow, SQL Server Integration Services, SQL Server Analysis Services, Git, Jira, Oracle Data Integrator, and Qlik Data Integration Suite.#OurRequierementsKey QualificationsThe&nbsp;ideal candidate&nbsp;meets the following requirements: •&nbsp;&nbsp;&nbsp;&nbsp;Bachelor / Master’s degree in Computer science, Software Engineering, Information Technology, or in similar technical-scientific disciplines (e.g., Mathematics, Physics, Statistics);•&nbsp;&nbsp;&nbsp;&nbsp;Knowledge of&nbsp;Data Warehouse&nbsp;and Big Data principles and Database and Big Data Technologies•&nbsp;&nbsp;&nbsp;At least 2 years&nbsp;of relevant working experience•&nbsp;&nbsp;&nbsp;&nbsp;Strong command of&nbsp;SQL,&nbsp;Stored Procedures&nbsp;and&nbsp;ETL flows•&nbsp;&nbsp;&nbsp;&nbsp;Working experience in&nbsp;CI/CD•&nbsp;&nbsp;&nbsp;&nbsp;Good command of&nbsp;Python•&nbsp;&nbsp;&nbsp;&nbsp;Proficient in MS Word, Excel and PowerPoint•&nbsp;&nbsp;&nbsp;&nbsp;Eagerness to continuously develop skills on emerging technologies•&nbsp;&nbsp;&nbsp;&nbsp;Strong ability to communicate in Greek and English•&nbsp;&nbsp;&nbsp;&nbsp;Willingness to travel, domestically and abroad•&nbsp;&nbsp;&nbsp;&nbsp;Military obligations fulfilled where applicableBonus Qualifications•&nbsp;&nbsp;&nbsp;&nbsp;Experience with Azure data services or AWS data Services and ETL tools (e.g., MS SSIS, Oracle Data Integrator etc.) will be considered a plus•&nbsp;&nbsp;&nbsp;&nbsp;Experience in DevOps methodologies for Data. Hands-on experience in Azure DevOps will be considered a plus•&nbsp;&nbsp;&nbsp;&nbsp;Experience in Financial Services / Energy sector will be considered a plusThe profile is rounded up by excellent analytical skills, precision, self-management capacities and a strong goal-oriented inclination#WhoWeAreLookingForIndividuals who have a&nbsp;strong will&nbsp;to expand their knowledge of new technologies, a&nbsp;passion&nbsp;to grow within the company and&nbsp;aspirations&nbsp;for career growth. At Deloitte we foster a consultative culture because the best decisions are made in collaboration with others. We approach our work with a collaborative mindset, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact. These are not aspirations, but principles that we all commit to today and every day.#WhatWeOfferAt Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits:🏠&nbsp;Modern hybrid workplace, characterized by flexibility and Smart Working⚖&nbsp;Empowered well-being: We provide multiple program offerings to support your well-being needs (flexible working arrangements, extra days of leave, parental allowances)🌍&nbsp;Engagement within international large-scale teams and projects, with opportunities to travel for training or client purposes📚&nbsp;Constant opportunities for learning with unlimited access to internal and external learning platforms and sponsored certificates aligned with business needs and technology trends🚀&nbsp;Challenging and innovating environment where personal development and growth are encouraged, always with transparency and trust👬&nbsp;Diverse culture and active communities that enable you to bring yourself to work🎉&nbsp;Team Building and Corporate Social Responsibility Activities🏃&nbsp;A buddy to support you with your onboarding⚕️&nbsp;Private medical health insurance plan💳&nbsp;Ticket restaurant card&nbsp;🛍️&nbsp;Exclusive Discounts to several retail providers, restaurants and others&nbsp;📱&nbsp;Mobile phone&nbsp;🍏&nbsp;Fresh fruits and unlimited coffee everyday at our officesPlease note that all the well-being benefits mentioned above are subject to annual review

Data Engineer (Junior & Experienced) @Thessaloniki

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.Key Responsibilities:<ul><li>Collaborate globally with data engineers, architects, and business stakeholders to define robust data architecture and modeling requirements.</li><li>Develop and optimize ETL processes to integrate data from various sources, ensuring high data quality and reliability.</li><li>Adhere to software engineering best practices for maintainable, scalable, and robust data solutions.</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><li>Research, design, build, and implement Machine Learning systems, and maintain, and improve existing ones</li></ul>show lessQualificationsWHO WE´RE LOOKING FOR?&nbsp;<ul><li>Bachelor's degree in Computer Science, Engineering or related fields.</li><li>Master’s or PhD in Computer Science, Engineering or related fields is strongly recommended.</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>3+ years in data engineering, with a strong emphasis on cloud environments - AWS, GCP, Azure, or Cloud Native platforms.</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>Knowledge in MLOps practices, utilizing MLflow for experiment tracking, model registry, model evaluation, and model serving.</li><li>Ability to collaborate in multinational environments.</li><li>Willingness to travel and proficiency in Greek and English.</li></ul>Considered a plus:<ul><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></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 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><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.The safety and well-being of our candidates and employees remain our priority. Please note that the recruitment process for opportunities in Accenture Greece will be conducted only via online format during the current period.

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