Data Engineer – fully remote within Europe

🕒 September 10

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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JobLeads

WebsiteLinkedInAll Job Openings

51 - 200 employees

🎯 Recruiter

👥 HR Tech

Recruitment • HR Tech

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📋 Description

• Own the operational health and reliability of the data platform end-to-end • Investigate and fix recurring issues in the on-prem Microsoft SQL Server environment • Manage cross-system access through linked servers, OPENQUERY, and PolyBase • Identify stale feeds, broken joins, and silently changing source systems, and drive resolution with data owners • Maintain Airflow DAGs and Python jobs across Windows and Linux VMs • Handle failed tasks, backfills, and data-flow dependencies • Model new source domains into the warehouse • Build data models that analysts can use independently • Implement automated data quality gates for freshness, volume, referential integrity, and business rules • Tune SQL queries, stored procedures, indexes, and execution plans • Improve alerting, logging, runbooks, and automation to prevent recurring incidents • Review AI-generated SQL and pipeline code before production • Build tests that enable the team to work safely with AI-assisted engineering • Collaborate with BI, analytics, and data-owning teams across the company

🎯 Requirements

• 3+ years of core data engineering experience in a production environment • Microsoft SQL Server expertise, including stellar T-SQL, indexing strategies, execution plans, query tuning, partitioning, linked servers, OPENQUERY, and PolyBase • Data modelling experience with warehouse tables and dimensional models • Strong Python skills for pipelines, transformation, and automation • Production Airflow experience, including authoring, operating, and debugging DAGs, scheduling, retries, backfills, dependencies, and task-failure tracing • Hands-on experience with Claude Code or a comparable agentic coding tool, MCP servers, and LLM-powered workflows • Ability to verify AI-generated SQL and pipeline code by reading queries, reviewing execution plans, and validating outputs against source data • Git and GitLab experience, including branching, merge requests, code review, and CI/CD pipelines • Ability to debug on Windows and Linux VMs • Working knowledge of Azure or AWS • Clear English communication • Ownership and ability to carry issues end-to-end • Microsoft Fabric experience, Lakehouse or Warehouse, Data Factory pipelines, and OneLake would be nice to have • Experience building MCP servers or internal LLM tooling would be nice to have • Familiarity with Power BI or another BI tool would be nice to have • Exposure to fast-growing B2C or subscription-driven businesses would be nice to have

🏖️ Benefits

• Remote-first collaboration across a truly global team • EU meet-ups • Annual company summer getaway • Fully remote company • Positive, diverse, and supportive culture