Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 70.000 to 87.500€ Gross/Year
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop a trustworthy data platform integrating AI by building ETL processes, defining data contracts, and implementing governance for reliable analytics.
Job Technologies
Your role in the team
- We build the learning platform behind education programmes reaching children across Kenya and Nigeria. Every lesson a child takes generates a signal. Our data platform turns that signal into the evidence that tells us, our funders and the governments we report to, whether children are actually learning to read. So when a number is wrong, a decision about a child's education is wrong. Getting that right, at scale, on a platform you can trust, is the job.
- We are hiring a dedicated Senior Data Platform Engineer to own and rebuild that platform with AI integrated where AI proves its value, and kept out where it does not.
- Own the data platform end-to-end: Ingestion, warehouse, transformation tooling, BI, scheduling, observability, governance. Today that's Kafka Redshift, dbt Core, GitHub Actions, and Metabase. Where it goes next is yours to argue for.
- Build the governed layer that makes AI-assisted analytics trustworthy: Semantic and metric definitions, data contracts, tests. Make sure that numbers that reach a funder or a government programme are reproducible and audited.
- Put AI to work on the platform itself: Freshness, cost and anomaly detection, pipeline triage, automated first-pass resolution. Automate repeatable and verifiable tasks.
- Build observability, governance and access control across the stack: scoped credentials, RBAC and access tiers in the warehouse and Metabase, audit, lineage, compliance.
- Partner with product engineering on product event data: Making it first-class without breaking the warehouse, establish data contracts at that boundary. Collaborate on infrastructure to fuel in-app analytics products.
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Our expectations of you
Qualifications
- You have opinions about where AI belongs in a data platform and where it categorically doesn't and you can defend the line.
- You can dissect dbt's tradeoffs and say when the answer is a semantic layer (MetricFlow, Cube, Malloy), SQLMesh, or something we haven't tried yet.
- You have a broad command of the modern data stack. Stream and batch, OLAP, orchestration, transformation, observability. You care about the tradeoffs between them.
- You're fluent enough in AWS, IaC, and CI/CD to ship and run your own tooling without waiting on anyone. (Our platform team owns the underlying infrastructure - k8s, SSO, networking - so it won't be your day-to-day job.)
- You're comfortable being a team of one. You'll be the only data engineer on a four-person data team, owning the platform end to end.
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What we offer
- Work on one of the biggest problems in the world: ensuring every child gets the education they deserve.
- A small, high-impact team where your work shapes our direction.
- Annual up-skilling budget.
- Wettbewerbsfähiges Modell zur Vergabe von Eigenkapitalanteilen.
- High degree of flexibility with regard to working hours and vacations.
- A hybrid working arrangement, based in Berlin.
- Compensation between €70,000 and €87,500 (if leveled as Senior).
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Topics that you deal with on the job
Job Locations
This is your employer
EIDU & Trellis
EIDU is an EdTech company based in Berlin that provides a digital platform for use in public education systems. It collaborates with governments and other stakeholders in the education sector to implement learning programs effectively and cost-efficiently. The effectiveness of this approach has been validated by an independent randomized controlled trial.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Education System
Senior Data Platform Engineer
- Salary
- 70.000 to 87.500€ Gross/Year
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
