Data Engineer

Koah; Deutschland; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A technology company in Germany is seeking engineers to optimize system performance and build data analytics pipelines. Candidates should enjoy debugging, using data effectively, and enhancing algorithms. Experience with technologies like PostgreSQL, AWS, and Ruby on Rails is essential. This role offers a chance to work on high-volume, low-latency systems with significant impact on product performance.

Qualifikationen

• Experience in debugging and optimizing system performance.
• Familiarity with data-driven decision-making.
• Interest in system design and experiment tracking.

Aufgaben

• Build data pipelines for real-time analytics.
• Optimize SQL queries to improve latency.
• Analyze ad performance metrics.
• Enhance algorithms for ad matching.
• Set up tracking for experiments and observability.

Kenntnisse

Debugging

Optimizing performance

Data analysis

Experimentation

Tools

PostgreSQL

AWS

Ruby on Rails

React

TypeScript

Redis

ClickHouse

Debezium

Jobbeschreibung

Tooling

• Infra: Render (app + workers), AWS (RDS, S3, Kafka), Grafana for metrics and logs

• Data: PostgreSQL (primary), ClickHouse (analytics), Redis (caching & rate limiting)

• Core Stack: Ruby on Rails, React, TypeScript

• SDKs: Flutter, React Native, Android (Kotlin, Compose), iOS (Swift)

We’re looking for engineers who like digging into systems and making them fast, reliable, and easy to operate. You’ll help us deliver ads quickly, track performance accurately, and scale the platform as we grow. We’re building systems that will soon operate at the scale of modern analytics platforms — high-volume, low-latency, and deeply queryable.

Example projects

• Build data pipelines using Debezium to stream real-time changes from PostgreSQL to our OLAP database for analytics workloads

• Reduce p99 latency in critical write paths by optimizing SQL query execution plans, implementing robust retry mechanisms, and enforcing strict timeouts for third-party services

• Tune conversion and clickthrough rate metrics in our core ad matcher from analyzing impression and click data

• Enhance ad matching algorithms using regression analysis to identify data patterns and develop hypotheses for new predictive features that improve conversion likelihood

• Set up experiment tracking and observability with logs and custom metrics that make it easy for us to understand why certain ads are chosen

You might be a fit if

• You like debugging and optimizing performance

• You are detail oriented and use data to support your claims

• You enjoy digging deeply and owning the platform side supporting product

• You enjoy experimentation, measuring, and creating reliable systems