Czym będziesz się zajmować? Join a globally distributed Data Engineering team within our Global Data & AI organization. We integrate data and AI into the fabric of the business—driving governance, engineering best practices, master/metadata management, data marketplace, and data quality aligned to strategic priorities.What you’ll do:Deliver prioritized engineering work in partnership with the Product Manager and stakeholders.Co‑develop new data products/models with our DK‑based core team.Lead workstreams end to end: scoping, planning, execution, and review in Azure DevOps.Document solutions for transparency and repeatability across the team.Raise the bar on reliability, performance, and maintainability; implement efficiency improvements across the stack.Collaborate cross‑functionally to translate technical requirements into resilient data solutions.Tech environment:Azure‑native stack with Databricks and Microsoft Fabric as primary tools.Python, SQL, AAS, Purview, Power Apps, Log Analytics; CI/CD with Azure DevOps.What We Offer:100% remote work (with business trips - core meetings or workshops occasionally take place in Danish - Copenhagen or Polish - Warsaw office.)

Kogo poszukujemy? We’re hiring Senior Data Engineers to help evolve Haystack data platform - model financial data to power high‑value reporting. You’ll thrive here if you:Bring 5+ years in software/data engineering, including hands‑on data pipeline design and integration.Are fluent in Databricks and/or Microsoft Fabric, and know how to optimize data workflows, modeling, and analytics.Code confidently in Python and write robust SQL for complex queries across diverse data sources.Understand data architecture: modeling, integration, metadata, and governance - building scalable, auditable solutions.Work comfortably in Azure (AWS a plus), with DevOps practices (Azure DevOps), CI/CD, and production readiness.Optionally bring strengths in Azure Analysis Services (AAS), Purview, Power Apps, Log Analytics, or a mix of backend/platform and UI/consumer‑facing data experiences.Hold a Master’s in Data, Computer Science, Information Management, or a related field (or equivalent experience).Communicate clearly, document diligently, and take ownership of quality - because trust in data is our most valuable currency.