Analytics Engineer
Turn raw Data into models people can trust.
Join a curated pool of Analytics Engineers considered for modeling, transformation and semantic-layer missions with European organizations, through DSB Data Delivery.
- Seniority
- Confirmed to senior
- Context
- European Data delivery
- Review
- By practitioners
- Application
- About 4 minutes
Why this network exists
Reliable models between the platform and the business
Analytics modernization stalls when the transformation layer is fragile: untested models, undocumented metrics, dashboards nobody trusts. This talent pool exists so that DSB can bring engineers who make the analytical layer reliable, tested and understood.
Missions vary in scope and duration and are proposed individually. Joining the pool means being considered when a relevant mission opens. It is not a commitment to a specific engagement, and not every applicant will access these missions.
Capability areas this pool supports
- Analytics modernization
- Data products
- Data platforms
- Governance programs
What this pool is built around
- dbt and SQL-first transformation work
- Models that business teams actually use
- Practitioner review of every profile
- Structured qualification for every candidate
- Technical assessment only after human screening
Typical missions
The work you would be considered for
Illustrative examples of the analytics engineering work behind DSB missions. Each mission defines its own scope.
Build transformation layers
Modular, tested dbt or SQL pipelines from raw to curated.
Design analytical models
Star schemas, metrics and grain choices that stay coherent as usage grows.
Own the semantic layer
Consistent definitions across BI tools, so one metric means one thing.
Test and document Data
Tests, contracts and documentation that catch problems before users do.
Enable self-service BI
Curated datasets analysts and business users can explore safely.
Bridge engineering and analysts
Translate business questions into models, and platform constraints into guidance.
Expertise we value
What relevance looks like
The list below reflects the environments most DSB analytics missions run on today, not a checklist every candidate must tick.
Core relevance
Strong, recent hands-on experience in most of these.
- dbt
- SQL and analytical modeling
- A cloud warehouse: Snowflake, BigQuery or Databricks
Context-dependent
Valuable on specific missions; not required to join the pool.
- Python
- Git-based workflows and CI/CD
- Testing and documentation practices
- Airflow or another orchestrator
- Semantic layers in Looker or Power BI
- Metrics stores and Data contracts
- Microsoft Fabric
Each mission specifies its own stack. Practitioner review looks at depth and judgment, not keyword matches.
What we look for
Beyond the stack
The qualities DSB practitioners look for in an Analytics Engineer.
Modeling judgment
You choose grain, keys and structures that hold up as questions change.
Rigor
You test, document and version your work as a matter of course.
Business fluency
You understand what a metric is for before you build it.
Pragmatism
You ship a good model this week over a perfect one next quarter.
Delivery mindset
You measure adoption and improve what people actually use.
How it works
A selective process. A human decision.
Every application follows the same structured path. Not every application progresses, and at each step people decide.
- 01
Application
Share who you are, your experience and your main skills. About 4 minutes.
- 02
Initial qualification
DSB reviews your profile against the needs of the relevant talent pool.
- 03
Human screening call
A conversation with a DSB practitioner about your experience and expectations.
- 04
Technical or domain assessment
A focused assessment of your expertise, adapted to your talent pool.
- 05
DSB Verified
Profiles that complete qualification and assessment may join the verified talent pool.
- 06
Relevant opportunities
Verified profiles are considered for missions matching their expertise and availability.
Ready to apply?
Apply as an Analytics Engineer
Share your experience and main skills in about 4 minutes. DSB practitioners review every application.
No account required. Not every application progresses to the next step.