Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will take ownership of Data Ingestion solutions, ensuring quality and compliance in our data pipelines while collaborating closely with the analytics team and the legal department.
Job Technologies
Your role in the team
- You will own the Data Ingestion and Data Layers that feed our Analytics, Compliance, and AI work.
- You report directly to the VP of Engineering, AI, and Data.
- Ingestion Layer: Airbyte (or similar) connectors, custom extractors where Airbyte is insufficient, scheduling, retry semantics, observability.
- Switch from Full Sync to Delta where it makes sense.
- Bronze and Silver in Databricks: clean, contracted, monitored.
- The boundary on which the dbt models of the Analytics Engineer are built.
- Schema contracts between backend platform and data platform that prevent incidents.
- Data Quality and Reliability Tooling: Tests, Alerts, Schema Change Notifications, Lineage.
- Compliance Enablement: technical implementation of deletion concepts, DSAR, VVZ.
- DPO and VP own the legal framework; you implement it technically.
- AI Data Plumbing: Make Evaluation Data, Training Corpora, Inference Logs available, anonymized, and reproducible.
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Our expectations of you
Education
- Degree or comparable experience in Computer Science, Software Engineering, Data Engineering, or a similar technical environment.
Qualifications
- Understanding of distributed data architectures and topics such as schema evolution, backfills, or late arriving data.
- Structured, independent working style with a high ownership mentality.
- Proficient English (C1+) as well as German language skills at least at B1 level or a clear willingness to learn.
Experience
- Alternatively: 5+ years of experience in Data Engineering or Backend Engineering with responsibility for Data Platforms.
- Excellent SQL and Python skills as well as productive experience with modern Data Stacks (Databricks, Snowflake or BigQuery, dbt, ELT tools like Airbyte or Fivetran).
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What we offer
- Office-First Company: You work in a hybrid model (3 days in the office / 2 days remote) and autonomously — in a way that suits you best.
- Modern, air-conditioned office with plenty of natural light.
- Central location between Gleisdreieck & Potsdamer Platz with excellent connectivity.
- Large roof terrace with breathtaking views over Berlin.
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Benefits
Health, Fitness & Fun
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
Legalhero GmbH
Legal Hero GmbH, based in Berlin, is an advanced company that offers a digital platform for managing legal protection claims. The company focuses on the digitization of processes related to legal claims reporting and processing. Since its founding in 2017, Legal Hero has positioned itself as a significant startup in the legal tech sector.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
