A data engineer designs, builds, and maintains the data infrastructure that enables analytics, reporting, and machine learning. They create ETL/ELT pipelines, manage data warehouses, and ensure data quality across the organization.
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Key responsibilities you can expect from this role
Design and build ETL/ELT pipelines that extract data from APIs, databases, and third-party tools into a central warehouse
Set up and manage cloud data warehouses — BigQuery, Snowflake, or Redshift — with proper access controls and cost optimization
Implement data quality checks, monitoring, and alerting to catch pipeline failures before they affect reporting
Model data for analytics — building dimensional models, materialized views, and data marts using dbt or similar
Optimize query performance and storage costs as data volumes grow from gigabytes to terabytes
Collaborate with analysts and data scientists to understand data needs and deliver self-service data access
What to look for when hiring a data engineer
Typical annual salary ranges in Europe (EUR)
Junior
€40,000–€50,000
0–2 years
Mid-level
€55,000–€72,000
2–5 years
Senior
€75,000–€100,000
5+ years
Ranges reflect full-time salaries in Northern & Western Europe. Actual compensation varies by location, company stage, and candidate experience.
Common questions about hiring a data engineer
From request to hire in 3 simple steps
Share your role requirements, team culture, and timeline. We will scope the search and confirm fit within 24 hours.
We present 3–5 qualified candidates. Each has been screened for skills, motivation, and cultural fit.
Interview your top picks and make an offer. Our 90-day guarantee means zero risk if the hire does not work out.
Advice for finding the right data engineer
Give a practical challenge: "Here is a messy dataset from 3 sources. Design a pipeline to unify them into an analytics-ready model." Evaluate their data modeling thinking, not just coding speed.
Ask about data quality. How do they ensure pipelines do not silently break? Candidates who mention testing, monitoring, and alerting are thinking about production reliability.
Check their experience with your data scale. Managing 10GB is fundamentally different from managing 10TB — query optimization and cost management skills matter at scale.
Look for communication skills. Data engineers must translate technical infrastructure decisions into business terms for stakeholders who just want reliable dashboards.
Feedback from founders who hired through us
€1.7M ARR startup • Hired 4+ positions • Focus on European expansion hires
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Sustainability tech company at €2M ARR
Hired 2 in 14 days
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Listed tech company
Fast growth team hire
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Early-stage startup at €1M ARR
Product team hire in 6 days
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