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Salary
≈ $77k – $166k per year (Estimated)
Location
In office (Munich)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Sep 29, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.

About the Role

This is a foundational data engineering role at a legal and finance tech company building software that helps banks, insurers, and regulated operators manage high volumes of parallel claims and lawsuits. You will work directly with the founding team to design and build the data infrastructure from the ground up, turning large document and case repositories into reliable foundations for AI workflows and dashboards.

What You'll Do

  • Build and operate scalable data pipelines for large document and case repositories from diverse sources and formats.

  • Integrate and model data to support AI workflows, analyses, and dashboards.

  • Ensure data quality, performance, and operational reliability across production systems.

  • Set up, optimize, and manage databases, data warehouses, and data lakes.

  • Connect APIs and integrate legacy systems for seamless data exchange.

  • Help shape the overall data architecture in close collaboration with the CTO.

What We're Looking For

  • Proven experience building data pipelines and data models using SQL, Python, and ETL tooling.

  • Strong proficiency in relational databases, particularly PostgreSQL.

  • Hands-on experience with cloud infrastructure and running production data platforms.

  • Experience connecting APIs and integrating legacy systems for data exchange.

  • Background preparing data for AI workflows, analytics, or BI dashboards.

  • Experience setting up or optimizing databases, data warehouses, and data lakes.

  • A pragmatic, self-directed working style with a genuine interest in complex regulatory or legal-adjacent domains.

Compensation & Benefits

Salary up to 75,000 EUR annually. Significant responsibility and architectural ownership from day one. Flexible working hours.

Visa sponsorship: Not available.

Location

Hybrid, based in Munich, Bavaria, Germany.

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