Senior Data Engineer (Search)
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Role details
Tech stack
Job description
- Create the foundation for evaluating agent performance and quality. Make probabilistic quality measurable, regression-detectable, and reproducible across model versions
- Maintain observability of agent cost and optimizations
- Improve document extraction and retrieval quality on the documents that matter most (financial statements, audit reports, complex tables)
- Maintain the Data FBigQuery foundation engineers, PMs, and founders use to make decisions
- Partner with engineering and product to turn customer feedback into measurable, shipped improvements, * Cost and quality observability on every pipeline run, alerting that catches regressions early
- Document extraction and retrieval quality measurably better on the documents customers care about most
- Trusted by engineers and founders to own the data foundation end-to-end
Requirements
Do you have experience in SQL?, Do you have a Master’s degree?, You’re a builder. You write production Python. You think in pipelines and feedback loops, not notebooks. You’ve worked with LLM outputs in production and have strong opinions about how to make probabilistic systems measurable., * 4+ years total, 3+ shipping production data infrastructure (pipelines, warehouses, observability)
- Strong Python and SQL. Reads code to understand data, doesn’t just trust schemas
- Has worked with LLM outputs in production. Has built or seriously used an eval framework
- Comfortable with cloud data warehouses (BigQuery preferred, Snowflake/Redshift fine), distributed processing, batch and streaming
- Cares about outcomes over process, clarity over frameworks
- Comfortable with startup environment high autonomy, high ambiguity, high speed
Bonus
- Built or seriously contributed to retrieval/RAG, document extraction, or OCR systems
- GCP / BigQuery / Temporal experience
- Background in audit, compliance, legal, or another document-heavy professional services domain
- Speaks German
No one checks every box. If you’ve shipped retrieval systems and like owning evaluations and pipelines, let’s talk.
Benefits & conditions
- Attractive compensation: competitive salary plus significant equity
- High impact & growth: Shape AI at a scaling startup
- Personal development: Learning budget for courses and conferences
- Startup perks: Flexible vacation, team lunches, retreats, central Berlin office
About the company
We’re Cortea, a Berlin startup transforming audits with AI. Manual, document-heavy audits waste expert time while demand keeps rising. Our AI-powered software and specialized AI agents remove the repetitive work so auditors can focus on judgment.
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