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We are seeking a Data Governance Officer – Team Lead to promote a culture of accountability, stewardship, and continuous improvement in data usage across the organization. This role positions data as a strategic asset that supports informed decision-making and drives operational excellence.<h2>The main responsibilities of the position include:</h2><ul><li></li></ul><ul><li>Define strategic objectives, a clear roadmap, and KPIs for the department in line with corporate goals</li><li>Develop specific actions to achieve agreed targets and KPIs</li><li>Ensure all governance documentation—policies, principles, standards, and procedures—are current and relevant</li><li>Coordinate governance activities with Data Quality Engineers, IT Architecture teams, and other stakeholders across the organisation</li><li>Implement robust data processes and guidelines and ensure adherence</li><li>Act as the escalation point for data accuracy issues and drive effective resolutions</li><li>Maintain and manage business metadata definitions, business rules, and organisation-wide reference data</li><li>Support the implementation, rollout, and development of the Data Catalogue and manage change control for metadata</li><li>Promote and lead the adoption of consistent data definitions and best practices through training, communications, and workshops</li><li>Advise the Security Team to ensure data receives appropriate protection in line with classification</li><li>Report on data governance maturity and performance metrics</li><li>Set personal targets for team members, monitor performance, and provide constructive feedback</li><li>Coach and develop team members, sharing knowledge and fostering a culture of collaboration and growth</li><li>Motivate the team and encourage idea-sharing to improve individual and team performance</li></ul><h2>Main requirements:</h2><ul><li></li></ul><ul><li>BSc/MSc in Information Technology or equivalent</li><li>Minimum 5 years’ experience in data stewardship/management or a similar role</li><li>Possession of professional certifications such as CDS, CDMP, or DGSP</li><li>Hands-on experience with data catalogues, data warehouses, and/or MDM solutions</li><li>Excellent stakeholder engagement skills across all organisational levels</li><li>Strong communication, collaboration, and leadership abilities</li><li>Deep understanding of Data Governance concepts and GDPR compliance</li><li>Good knowledge of data quality processes and remediation activities</li><li>Ability to manage large datasets, identify errors, and implement solutions</li><li>Strong analytical skills with the ability to inspire and mobilise teams</li><li>Proven ability to coach, train, and develop team members</li><li>Occasional travel to support projects at different offices abroad</li></ul><h2>Benefit from:</h2><ul><li></li></ul><ul><li>Attractive remuneration package plus performance related reward</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul><h2></h2>

Data Governance Officer – Team Lead

Our Client is seeking an Application Support Engineer with experience in operational support of production environments and strong technical understanding of software applications. The ideal candidate will be responsible for monitoring, troubleshooting, and resolving issues related to the performance and operation of critical applications within a 24/7 support framework.Key Responsibilities<ul><li>Monitoring the operation of production applications using monitoring tools. </li><li>Reading and analyzing application logs. </li><li>Administering Kubernetes clusters. </li><li>Collaborating with development teams for debugging and reproducing issues. </li><li>Performing health checks, restarting services, scaling pods. </li><li>Participating in a 24/7 rotating shift schedule. </li><li>Documenting actions and communicating incidents.</li></ul>Required Skills &amp; Experience<ul><li>1–3 years of experience in Application Support / DevOps Support. </li><li>Experience in reading logs. </li><li>Experience with monitoring tools. </li><li>Hands-on experience in Kubernetes administration. </li><li>Understanding of CI/CD, containers, and microservices. </li><li>Strong troubleshooting skills. </li><li>Good knowledge of Linux. </li><li>Good command of the English language.</li></ul>Nice-to-Have Qualifications<ul><li>Experience with ticketing systems. </li><li>Basic SQL knowledge or API troubleshooting experience. </li><li>Team spirit and responsibility.</li></ul>Working Schedule<ul><li>24/7 rotating shifts with shift compensation and the option for remote support.</li></ul>They Offer<ul><li>Participation in high-tech projects. </li><li>Access to modern monitoring &amp; observability tools. </li><li>Continuous training. </li><li>Competitive compensation and benefits package.</li></ul>

Application Support Engineer NEW

Our Client is seeking an experienced Senior AI Engineer&nbsp;with deep expertise in&nbsp;LangChain&nbsp;and modern&nbsp;LLM frameworks. You will lead the development of advanced LLM-driven applications, design complex&nbsp;RAG architectures, and guide the team in best practices for LLM engineering. Key Responsibilities LangChain &amp; LLM Development<ul><li>Design and develop advanced applications using&nbsp;LangChain, LangGraph, and LangSmith</li><li>Build complex&nbsp;chains, agents, and multi-agent systems</li><li>Implement&nbsp;custom tools, retrievers, and memory systems</li><li>Develop context-aware&nbsp;conversational AI and chatbot applications</li><li>Create workflow orchestration using&nbsp;LangGraph&nbsp;for complex reasoning tasks</li><li>Integrate multiple LLM providers (OpenAI, Anthropic, Cohere, Azure OpenAI)</li><li>Optimize&nbsp;prompt templates&nbsp;and&nbsp;output parsers</li></ul>RAG &amp; Vector Database Architecture<ul><li>Design and implement advanced&nbsp;Retrieval-Augmented Generation (RAG)&nbsp;systems</li><li>Develop custom&nbsp;embedding strategies&nbsp;and&nbsp;chunking techniques</li><li>Work with vector databases such as&nbsp;Pinecone, Weaviate, Chroma, Qdrant, Milvus</li><li>Implement&nbsp;hybrid search&nbsp;(semantic + keyword) and&nbsp;reranking&nbsp;methods</li><li>Build document loaders and text splitters for diverse data sources</li><li>Optimize retrieval quality with&nbsp;metadata filtering&nbsp;and&nbsp;query expansion</li><li>Develop&nbsp;multi-modal RAG systems&nbsp;(text, images, documents)</li></ul>Advanced LLM Techniques<ul><li>Apply advanced prompt engineering:&nbsp;few-shot,&nbsp;chain-of-thought,&nbsp;ReAct</li><li>Build&nbsp;function calling&nbsp;and tool-use patterns</li><li>Develop structured output with&nbsp;Pydantic models</li><li>Implement&nbsp;streaming responses&nbsp;and async pipelines</li><li>Build efficient&nbsp;caching strategies&nbsp;for cost optimization</li><li>Implement&nbsp;fallback mechanisms&nbsp;and robust error handling</li><li>Integrate&nbsp;guardrails&nbsp;and content moderation systems</li></ul>Production &amp; Monitoring<ul><li>Deploy LangChain applications to production using&nbsp;LangServe</li><li>Integrate&nbsp;LangSmith&nbsp;for tracing, debugging, and evaluation</li><li>Implement monitoring and observability for LLM applications</li><li>Build evaluation frameworks for quality assurance</li><li>Optimize latency, cost, and token usage</li><li>Run&nbsp;A/B testing&nbsp;for prompt variations</li><li>Create dashboards to monitor key LLM metrics</li></ul>Required Qualifications Education<ul><li>Bachelor’s degree in Computer Science, Machine Learning, or related field (required)</li><li>Master’s degree in AI/ML or Computer Science (preferred)</li></ul>Experience<ul><li>5+ years of software development experience</li><li>3+ years working with AI/ML and LLM applications</li><li>2+ years hands-on experience with&nbsp;LangChain&nbsp;(mandatory)</li><li>Proven experience building&nbsp;production-grade LLM applications</li><li>Strong background with&nbsp;RAG architectures&nbsp;and vector databases</li></ul>Technical Skills – LangChain Ecosystem &nbsp;LangChain Core (Required)<ul><li>Expert-level knowledge of&nbsp;LangChain (v0.1+)</li><li>Deep understanding of Chains, Agents, Tools, Memory, Callbacks</li><li>Experience with&nbsp;LangChain Expression Language (LCEL)</li><li>Knowledge of&nbsp;LangGraph&nbsp;for complex workflows</li><li>Familiarity with&nbsp;LangSmith&nbsp;for monitoring/debugging</li><li>Experience deploying with&nbsp;LangServe</li><li>Understanding of&nbsp;LangChain Templates</li></ul>LLM Providers &amp; APIs<ul><li>Strong experience with&nbsp;OpenAI API&nbsp;(GPT-4, GPT-3.5, embeddings)</li><li>Knowledge of&nbsp;Anthropic Claude API</li><li>Familiarity with&nbsp;Azure OpenAI Service</li><li>Experience with open-source models (Llama, Mistral, Mixtral)</li><li>Knowledge of&nbsp;Hugging Face Inference API</li><li>Understanding model capabilities, limitations, and pricing models</li></ul>Vector Databases &amp; Embeddings<ul><li>Hands-on experience with&nbsp;Pinecone, Weaviate, or Chroma</li><li>Knowledge of embedding models (OpenAI, Cohere, sentence-transformers)</li><li>Understanding similarity search algorithms</li><li>Experience with metadata filtering and hybrid search</li><li>Knowledge of vector indexing strategies (HNSW, IVF)</li></ul>Programming &amp; Software Engineering<ul><li>Expert-level Python (asyncio, type hints, Pydantic)</li><li>Experience with&nbsp;FastAPI</li><li>Strong understanding of async/await patterns</li><li>Strong software engineering fundamentals</li><li>Experience with Git, CI/CD, testing frameworks</li></ul>&nbsp;Cloud &amp; Infrastructure<ul><li>Experience with AWS (Lambda, ECS, S3, DynamoDB) or Azure</li><li>Docker containerization</li><li>Kubernetes (preferred)</li><li>Serverless architectures</li><li>API Gateway and load balancing</li></ul>Core Capabilities<ul><li>Deep understanding of LLM capabilities and limitations</li><li>Expertise in prompt engineering and optimization</li><li>Ability to design scalable LLM architectures</li><li>Strong understanding of cost optimization for LLM workloads</li><li>Knowledge of AI safety and responsible AI practices</li><li>Excellent problem-solving and communication skills</li></ul>Preferred Qualifications<ul><li>Contributions to LangChain or other open-source LLM projects</li><li>Experience with LlamaIndex, Haystack, or similar frameworks</li><li>Knowledge of fine-tuning (LoRA, QLoRA)</li><li>Experience with multi-agent systems and AutoGPT patterns</li><li>Knowledge of semantic caching and query optimization</li><li>Experience with document intelligence and OCR</li><li>Understanding transformer architectures</li><li>Experience with evaluation frameworks (RAGAS, TruLens)</li><li>Experience with streaming and real-time LLM processing</li><li>Blog posts, tutorials, or presentations on LangChain</li><li>Cloud certifications</li></ul>What They Offer<ul><li>Highly competitive salary and equity package</li><li>Full health, dental, and vision insurance</li><li>Generous budget for professional development and certifications</li><li>Flexible working arrangements (remote/hybrid options)</li><li>Access to cutting-edge AI infrastructure and LLM APIs</li><li>Collaborative environment with world-class AI professionals</li><li>Participation in conferences and AI community events</li><li>Opportunities for technical leadership and mentorship</li><li>Influence over the company’s AI strategy</li></ul>&nbsp;Success Metrics Success in this role will be measured by:<ul><li>Quality and performance of LangChain applications</li><li>Reduction in latency and improved cost efficiency</li><li>Accuracy and relevance of RAG systems</li><li>Adoption of best practices across the team</li><li>Speed of delivery for new AI features</li><li>User satisfaction with AI-powered features</li><li>Technical leadership and mentorship impact</li><li>Contribution to documentation and knowledge base</li></ul>Technologies You Will Work With LLM Frameworks<ul><li>LangChain, LangGraph, LangSmith, LangServe</li><li>OpenAI API, Anthropic Claude API</li><li>Hugging Face Transformers</li></ul>Vector Databases<ul><li>Pinecone, Weaviate, Chroma, Qdrant</li><li>PostgreSQL with pgvector</li></ul>Development Stack<ul><li>Python 3.11+, FastAPI, Pydantic</li><li>Docker, Kubernetes</li><li>AWS/Azure cloud services</li><li>Git, GitHub Actions</li></ul>Monitoring &amp; Observability<ul><li>LangSmith</li><li>Prometheus, Grafana</li><li>DataDog, New Relic</li></ul>

AI Engineer – LangChain & LLM Frameworks Specialist

Our Client is seeking a detail-oriented LLM Quality Analyst to join their AI team. You will be responsible for designing, implementing, and managing comprehensive testing and evaluation frameworks for their generative AI products. This role is critical to ensuring their AI systems meet the highest standards of quality, accuracy, safety, and ethical compliance before reaching production.Key ResponsibilitiesTesting Framework Development<ul><li>Design and implement comprehensive testing frameworks for LLM and generative AI applications</li><li>Create curated benchmark suites using industry-standard datasets (TruthfulQA, ARC, TriviaQA, MMLU)</li><li>Develop custom evaluation datasets tailored to specific use cases and domains</li><li>Build synthetic data generation pipelines for edge case testing</li><li>Define clear evaluation criteria, rubrics, and quality metrics</li><li>Establish testing protocols for different AI model types and applications</li></ul>Quality Evaluation &amp; Testing<ul><li>Execute automated and manual evaluations of AI model outputs</li><li>Measure and track key quality metrics: relevance, factual consistency, coherence, hallucination rate</li><li>Assess model performance across dimensions: accuracy, latency, fairness, toxicity, bias</li><li>Perform functional correctness testing for code generation and structured outputs</li><li>Conduct A/B testing and shadow testing for model comparisons</li><li>Validate prompt engineering strategies and RAG pipeline effectiveness</li></ul>Feedback Management &amp; Issue Tracking<ul><li>Manage intake of user-reported issues and feedback</li><li>Translate user feedback into reproducible test cases</li><li>Replicate and document bugs, edge cases, and failure modes</li><li>Log and track defects in issue-tracking systems (Jira, Linear, GitHub Issues)</li><li>Prioritize issues based on severity, frequency, and business impact</li><li>Collaborate with engineering teams on root cause analysis and resolution</li></ul>Human Annotation &amp; LLM-Based Evaluation<ul><li>Coordinate human annotation efforts with clear guidelines and rubrics</li><li>Implement overlapping review processes to ensure annotation consistency</li><li>Integrate LLM-based evaluators (GPT-4, Claude) for automated quality assessment</li><li>Design evaluation prompts that provide structured scores and reasoning</li><li>Validate LLM evaluator outputs against human judgments</li><li>Continuously refine evaluation methodologies based on findings</li></ul>Monitoring &amp; Reporting<ul><li>Monitor live-traffic metrics through observability dashboards</li><li>Track model performance trends and identify quality regressions</li><li>Generate comprehensive quality reports for product and engineering teams</li><li>Present findings and recommendations to stakeholders</li><li>Maintain documentation of testing procedures and evaluation results</li><li>Drive continuous improvement of AI system quality</li></ul>Required QualificationsEducation<ul><li>Bachelor’s degree in Computer Science, Data Science, Linguistics, Cognitive Science, or related field</li><li>Master’s degree in AI/ML, NLP, or related field (preferred)</li></ul>Experience<ul><li>3+ years of experience in quality assurance, testing, or evaluation roles</li><li>2+ years working with AI/ML systems, preferably LLMs or NLP applications</li><li>Experience designing and executing test plans for software or AI products</li><li>Proven track record of identifying and documenting complex technical issues</li></ul>Technical Skills<ul><li>Programming: Proficiency in Python for test automation and data analysis</li><li>LLM Knowledge: Understanding of how LLMs work, their capabilities and limitations</li><li>Evaluation Frameworks: Familiarity with LLM evaluation tools (Langfuse, DeepEval, RAGAS, Phoenix)</li><li>Data Analysis: Experience with pandas, numpy, and data visualization tools</li><li>Testing Tools: Knowledge of pytest, unittest, or similar testing frameworks</li><li>Issue Tracking: Proficiency with Jira, Linear, GitHub Issues, or similar platforms</li><li>APIs: Ability to work with REST APIs and LLM provider APIs (OpenAI, Anthropic)</li><li>SQL: Basic SQL skills for querying databases and analyzing results</li></ul>Quality Assurance Expertise<ul><li>Strong understanding of QA methodologies and best practices</li><li>Experience with test case design and test coverage analysis</li><li>Knowledge of different testing types: functional, regression, integration, performance</li><li>Familiarity with CI/CD pipelines and automated testing integration</li><li>Understanding of metrics and KPIs for quality measurement</li></ul>AI/ML Evaluation Knowledge<ul><li>Understanding of common LLM evaluation metrics (BLEU, ROUGE, BERTScore, perplexity)</li><li>Knowledge of bias detection and fairness evaluation techniques</li><li>Familiarity with hallucination detection and factual consistency checking</li><li>Understanding of prompt engineering and its impact on model outputs</li><li>Awareness of AI safety, ethics, and responsible AI principles</li></ul>Core Competencies<ul><li>Exceptional attention to detail and analytical thinking</li><li>Strong problem-solving and critical reasoning abilities</li><li>Excellent written and verbal communication skills</li><li>Ability to work independently and manage multiple priorities</li><li>Collaborative mindset for cross-functional teamwork</li><li>Curiosity and willingness to learn new AI technologies</li></ul>Preferred Qualifications<ul><li>Experience with specific LLM evaluation platforms (Langfuse, Weights &amp; Biases, Arize)</li><li>Knowledge of human-in-the-loop evaluation workflows</li><li>Familiarity with RAG systems and vector database evaluation</li><li>Experience with adversarial testing and red-teaming for AI systems</li><li>Understanding of model fine-tuning and its quality implications</li><li>Background in linguistics, cognitive science, or human-computer interaction</li><li>Experience with statistical analysis and hypothesis testing</li><li>Knowledge of regulatory requirements (GDPR, AI Act) for AI systems</li><li>Contributions to AI evaluation research or open-source projects</li><li>Experience with multimodal AI evaluation (text, image, audio)</li></ul>What They Offer<ul><li>Competitive salary and benefits package</li><li>Comprehensive health, dental, and vision insurance</li><li>Professional development opportunities in AI/ML</li><li>Flexible work arrangements (remote/hybrid options)</li><li>Access to cutting-edge AI technologies and tools</li><li>Collaborative team environment with AI experts</li><li>Opportunity to shape quality standards for innovative AI products</li><li>Conference attendance and learning budget</li></ul>&nbsp;

AI Engineer (LLM Quality Analyst)

Our Client is&nbsp; looking for a passionate and experienced software engineer to lead impactful projects/products and participate in the evolution of their Java Chapter . The successful candidate will play a key role in designing, implementing, and mentoring within a cross-functional software development unit, delivering high-quality solutions for their projects.Key Responsibilities:<ul><li>Lead and mentor the Backend Chapter, fostering a culture of collaboration and technical excellence.</li><li>Participate in the design and architecture of backend systems at both high-level and detailed levels.</li><li>Oversee code reviews to ensure best practices, scalability, and performance.</li><li>Contribute to project planning, estimations, and delivery timelines.</li><li>Collaborate closely with cross-functional teams to align technical solutions with business needs.</li><li>Drive continuous improvement in coding standards, tools, and processes.</li></ul>Required Skills:<ul><li>University degree (or higher education institute) in Computer Science, Information Technology, or a relevant field.</li><li>5+ years of hands-on experience in backend development.</li><li>Strong knowledge of Java.</li><li>Practical experience with Spring, Spring Boot, and Hibernate frameworks.</li><li>Solid experience with relational databases such as MySQL or PostgreSQL.</li><li>Excellent communication skills (oral and written).</li><li>Strong leadership and teamwork abilities.</li></ul>Desired Skills:<ul><li>Familiarity with JavaScript frameworks.</li><li>Proficiency with build tools such as Gradle, Ant, or Maven.</li><li>Experience with ElasticSearch or caching engines (e.g., Redis).</li><li>Hands-on experience with testing tools and frameworks such as JMeter, Selenium, or Spock.</li></ul>What You Can Expect:At their company, you’ll lead projects that make a real impact and work within an environment that values innovation and technical excellence. They foster knowledge sharing, experimentation, and continuous improvement to stay ahead in technology and product quality.At their company, they&nbsp; follow a chapter structure to ensure continuous improvement and innovation. Their Java Chapter meets regularly to discuss emerging trends and technologies, ensuring they stay at the forefront of the tech world. They take ownership in evolving their tech stack to remain competitive and innovative, continuously refining their tools and processes to meet future demands.

Backend Technical Leader (Java Chapter)

Our client is a dynamic and growing technology consultancy specializing in the design and implementation of data-driven solutions for enterprise clients across various industries. Their mission is to empower organizations to harness the power of their data through innovative Business Intelligence, Data Warehousing, and advanced analytics solutions. They foster a collaborative and knowledge-sharing environment, encouraging their people to continuously evolve while contributing to impactful projects.Role &amp; Responsibilities<ul><li>Design and implementation of Databases, Data Warehouses, and BI solutions.</li><li>Development and optimization of ETL/ELT processes (e.g., SSIS or equivalent tools).</li><li>User training on BI solutions and best practices in Data Warehousing.</li><li>Preparation of technical and functional documentation (specifications, manuals, runbooks).</li><li>Supervision of production systems post-implementation: monitoring, performance tuning, troubleshooting, and continuous improvement.</li><li>Analysis of business processes and client requirements.</li><li>Collaboration with existing and potential clients to identify needs and propose appropriate IT solutions.</li><li>Contribution to the overall growth of the company and enhancement of team processes.</li></ul>Required Qualifications<ul><li>Experience with Microsoft SQL Server &amp; Analysis Services (SSAS), Postgres DB.</li><li>Experience with Integration Services (SSIS) or similar ETL tools.</li><li>Proven expertise in SQL/RDBMS topics: performance tuning (indexes, execution plans), partitioning, data warehousing (star/snowflake), backup &amp; server maintenance.</li><li>Solid understanding of OLAP/cube architecture and normalization.</li><li>Excellent communication skills in both Greek and English (spoken and written).</li><li>Strong organizational skills, ability to meet deadlines, and collaborate effectively in cross-functional teams.</li></ul>Nice to Have<ul><li>Experience with data visualization tools (e.g., Targit BI).</li><li>Knowledge of Python or C# for data automation/orchestration.</li><li>Experience drafting technical specifications and participating in RFPs/proposals.</li><li>Collaboration with Sales teams in presales activities, presentations, and RFP processes.</li><li>Participation in client meetings/presentations, demos, and Proof of Concepts (PoCs).</li></ul>

BI Engineer

Our Client designs and delivers complex information systems for Greek public organizations in the healthcare sector. They are currently seeking a Technical Business Analyst to join their team.In this role, you will act as the key link between the Project Managers (PMs)—who define the functional specifications—and the development teams responsible for implementation. You will ensure that all technical teams have the clarity and information needed to deliver high-quality solutions on time.The ideal candidate will be deeply involved in analyzing detailed requirements, translating them into user stories, collaborating with team leads to define technical tasks, and tracking project progress.Key Responsibilities:<ul><li>Review and analyze the functional specifications delivered by the Client.</li><li>Identify gaps, ambiguities, or risks in the deliverables that require clarification before implementation.</li><li>Break down functional requirements into clear and measurable user stories.</li><li>Break down user stories into technical tasks, in collaboration with team leaders, to prepare them for assignment to development teams.</li><li>Monitor project execution, participate in project meetings, and regularly report to the Lead Project Manager on project status and any potential timeline deviations.</li><li>Ensure clear and aligned communication between all involved parties within the client environment.</li></ul>Required Qualifications:<ul><li>Proven experience as a Business Analyst, Product Owner, or similar role in technology projects.</li><li>Strong understanding of technical concepts (software, architecture, APIs, databases, etc.) to be able to discuss and break down technical tasks.</li><li>Excellent communication skills (both written and verbal).</li><li>Ability to collaborate in a cross-functional environment (with Project Managers, Team Leaders, Developers).</li><li>Strong organizational skills, attention to detail, and the ability to track progress across complex projects.</li><li>Experience using Jira or similar project management tools.</li></ul>Preferred Qualifications (Nice to Have):<ul><li>Certifications such as Scrum Product Owner, Scrum Master, or Business Analysis (CBAP, PMI-PBA).</li><li>Experience in public sector projects or in the healthcare domain</li></ul>

IT Business Analyst

They are seeking an experienced PostgreSQL DBA with strong automation skills using Ansible. The ideal candidate will be responsible for managing, maintaining, and optimizing their PostgreSQL databases, and ensuring efficient and reliable automation for provisioning and maintenance tasks.Key Responsibilities<ul><li>Administer, maintain, and tune PostgreSQL databases in production and non-production environments.</li><li>Set up and maintain replication, backups, and high-availability configurations (e.g., Repmgr, Patroni, pgBackRest, pgbouncer/pgpool ). extra: TimescaleDB, PG vector flavors.</li><li>Develop and maintain Ansible playbooks for PostgreSQL deployments, updates, and configurations.</li><li>Troubleshoot and resolve database-related performance, capacity, and replication issues.</li><li>Collaborate with DevOps and development teams to ensure database reliability and efficiency.</li><li>Perform database upgrades and patching with minimal downtime.</li><li>Implement security best practices and monitor for vulnerabilities.</li><li>Document database environments, processes, and procedures.</li></ul>Required Skills<ul><li>4+ years of hands-on experience as a PostgreSQL DBA in a production environment.</li><li>Solid experience with PostgreSQL versions 14 and above.</li><li>Proficiency in writing and maintaining Ansible playbooks and roles.</li><li>Experience with PostgreSQL performance tuning and optimization.</li><li>Deep understanding of PostgreSQL internals, WAL, autovacuum, and indexes.</li><li>Experience with backup/recovery tools (e.g., pgBackRest, Barman, Commvault).</li><li>Familiarity with monitoring tools (e.g., Prometheus, Dynatrace, pg_stat_statements).</li><li>Linux system administration experience (preferably Debian/Ubuntu or RHEL/CentOS).</li><li>Scripting experience (Bash, Python) is a must.</li><li>Decent in System administration (OS-DB tuning, VIP strategies, systemd logic)</li></ul>Preferred Qualifications:<ul><li>Experience with Kubernetes and PostgreSQL Operators.</li><li>Familiarity with CI/CD pipelines and infrastructure-as-code tools like Terraform.</li><li>PostgreSQL certification or relevant coursework.</li><li>Automation mindset. Eye for details, drive to bring structure and improve standards</li></ul>What They Offer<ul><li>22 annual vacation days, 3 sick days that are not carried to the next year (no medical certificate required)</li><li>A seniority day is added every 3 years in the company</li><li>Private medical insurance</li><li>Monthly meal tickets</li><li>A work culture based on cooperation and development – customized learning paths through external providers as well as special development programs.</li><li>Wellbeing initiatives to encourage a healthy work life balance through webinars, specialized sessions and internal programs, per their colleagues’ input.</li><li>In close cooperation is a value they live by, through moments that matter, like recurring hangout parties, team buildings, team bonding events.</li></ul>

PostgreSQL DBA Engineer

As a Quality Engineer Senior Consultant, you will be a member of a QE team, responsible for executing testing activities across projects to ensure the delivery of high-quality software. You will apply your experience in manual and/or automated testing, contribute to test design, execution, and reporting, and support the team in implementing QA best practices. You will also have the opportunity to gain exposure to new automation tools and methodologies, helping drive efficiency and quality improvements in client engagements.Responsibilities: <ul><li>Execute functional and non-functional testing activities, including test design, execution, and defect management.</li><li>Support and coach junior team members by reviewing their work and sharing feedback.</li><li>Collaborate with other team members and clients to understand requirements and contribute to QA approaches.</li><li>Develop and maintain automated test scripts using available tools and frameworks.</li><li>Support the team in documenting test results, preparing reports, and sharing insights to improve testing quality.</li><li>Identify opportunities to improve QA processes and share knowledge within the team.</li><li>Promote efficient use of QA tools, frameworks, accelerators, and GenAI technologies to support test design, test data generation, defect detection, and overall testing efficiency.</li></ul>Requirements&nbsp;To qualify for the role, you must have:&nbsp;<ul><li>Bachelor’s or Master’s degree in Business Administration, Computer Science, Engineering, or a related field.</li><li>3–4 years of hands-on experience in manual and/or automated testing (ideally both).</li><li>Experience with test management and defect tracking tools.</li><li>Exposure to or interest in learning modern automation tools such as Tricentis Tosca, Katalon, or similar.</li><li>Solid understanding of QA processes, methodologies, and best practices.</li></ul><ul><li>ISTQB Foundation Level certification is considered a plus.</li><li>Ability to work collaboratively in a team environment and communicate effectively.</li><li>Excellent problem-solving skills, attention to detail, and the ability to think critically.  </li><li>Experience in Energy sector will be considered a plus.</li><li>Military obligations fulfilled where applicable.</li></ul>Benefits: <ul><li>Competitive remuneration package</li><li>Private health insurance</li><li>Ticket Restaurant card</li><li>Hybrid working model</li><li>Clear opportunities for professional growth and continuous learning</li><li>Access to modern tools, technologies, and best-practice methodologies</li></ul>

QA Engineer Senior Consultant

As a Quality Engineering Assistant Manager, you will take a hands-on approach to support a team of QE professionals, ensuring high-quality delivery across testing engagements. You will apply your strong knowledge of QA processes, test design, and execution while mentoring team members and promoting consistent best practices. You will also collaborate with clients to provide functional QA guidance and practical recommendations, while supporting managerial roles from a functional perspective to ensure smooth execution of testing initiatives. Responsibilities: <ul><li>Mentor and support the QE team in day-to-day testing activities, providing hands-on guidance in planning, test design, execution, and defect management.</li><li>Collaborate with clients to understand requirements and propose practical QA approaches to ensure quality outcomes.</li><li>Support other managerial roles by providing functional input, guidance, and assistance in implementing QA strategies, processes, and best practices across projects.</li><li>Develop and implement QA processes, methodologies, and standards to improve efficiency, consistency, and quality.</li><li>&nbsp;Monitor and ensure effective test planning, execution, defect management, and reporting.</li><li>Identify areas for improvement, drive adoption of best practices, and support the continuous development of team capabilities.</li><li>Promote efficient use of QA tools, frameworks, accelerators, and GenAI technologies to support testing activities, improve efficiency, accelerate defect detection, and enhance overall quality delivery.</li></ul>Requirements&nbsp;To qualify for the role, you must have:&nbsp;<ul><li>Bachelor’s or Master’s degree in Business Administration, Computer Science, Engineering, or a related field.</li><li>5+ years of experience in Quality Engineering, with hands-on experience in testing (manual and/or automation), or in business analysis.</li><li>Solid knowledge of QA processes, testing methodologies, and tools.</li><li>Client-facing experience, with the ability to communicate functional QA recommendations effectively.</li><li>ISTQB Foundation Level certification is considered a plus.</li><li>Experience in Energy sector will be considered a plus.&nbsp;</li><li>Excellent problem-solving skills, attention to detail, and the ability to think critically.</li><li>Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.</li><li>Military obligations fulfilled where applicable.</li></ul>Benefits: <ul><li>Competitive remuneration package</li><li>Private health insurance</li><li>Ticket Restaurant card</li><li>Hybrid working model</li><li>Clear opportunities for professional growth and continuous learning</li><li>Access to modern tools, technologies, and best-practice methodologies</li></ul>

QA Engineering Assistant Manager

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