{"id":840018,"url":"https://alion.io/job/wemetrix-mid-senior-data-engineer-azure","title":"Mid-Senior Data Engineer (Azure)","company":{"id":689229,"name":"WEMETRIX","domain":"wemetrix.com","url":"https://alion.io/company/wemetrix","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Athens, Greece"],"countries":["GR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":76000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"PostgreSQL","optional":false},{"name":"SQL","optional":false},{"name":"Azure AKS","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2025-09-10T00:00:00Z","employer_posted_date":"2025-09-10","last_verified_at":"2026-11-02T17:28:42Z","board_verified":true,"closed_at":null,"days_open":418,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":418},"description":"About Wemetrix\nAt Wemetrix, we’re reshaping how enterprises manage credit risk, financial operations and up-sell opportunities through our flagship platform, VALUEBOARD®. We combine deep domain expertise with state-of-the-art technology to help finance leaders make smarter, faster decisions.\nAs a tech-first company, we value clarity, ownership, and trust, and we’re building a culture where engineers are empowered to deliver impactful work, grow in their craft, and feel proud of what they ship.\nJoin us as we scale our platform, our cloud services, and our team.\nAbout the Role\nOur company is seeking a skilled Data Engineer to join our team and contribute to the implementation and maintenance of modern and efficient data management solutions on the Azure platform. The ideal candidate will be responsible for managing data flows, integrating Azure services such as Azure Data Factory, Data Lake, and Event Hubs, and developing efficient data loading and transformation processes using SQL.\nThis role requires knowledge of Azure data services. We welcome both experienced professionals in Azure implementation and candidates with limited hands-on experience who are motivated to deepen their Azure expertise with our support in a dynamic and collaborative environment.\nWhat You’ll Do\nBuild and maintain robust data pipelines using Azure Data Factory (ADF). \nWork with Azure Data Lake, Delta Lake, and Parquet to efficiently store and process large-scale structured and semi-structured data. \nMaintain event-driven architectures with Azure Event Grid and Event Hubs. \nImplement scalable ETL/ELT workflows using SQL and other modern tools. \nCollaborate cross-functionally to ensure seamless integration of data flows into business processes. \nMonitor, optimize and improve performance and data quality across all pipelines. \nMaintain clear, up-to-date documentation for data processes and flows. \nEnsure best practices around data security, governance, and compliance. \nRequirements\nWhat We’re Looking For\nSolid experience with Azure Data Factory (ADF). \nHands-on knowledge of Azure Data Lake, Delta Lake, and Parquet. \nStrong SQL skills for data querying and transformations. \nExperience with Azure Event Grid, Event Hubs and serverless workflows (Azure Functions). \nFamiliarity with PostgreSQL and relational databases. \nExposure to Spark for distributed data processing. \nAbility to write clean, maintainable and efficient code. \nStrong problem-solving mindset and a team-oriented attitude. \nNice-to-Have Skills\nExperience with Docker and containerization. \nKnowledge of Azure Kubernetes Service (AKS). \nAwareness of cloud security best practices in data management.\nBenefits\nWhat We Offer\nCompetitive salary and annual bonus scheme.\nPrivate health insurance for you and your family.\n Professional development support (certifications, trainings, mentoring).\n Dedicated learning time and budget.\n A collaborative team that cares about craftsmanship, clarity, and 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