Senior Data Engineer (Data Platform)

Jobtailor; Berlin; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an experienced Data Engineer to own end-to-end data pipelines, design and maintain Airflow workflows, and develop dbt models in Redshift. You will build lake-layer pipelines, manage AWS infrastructure, and ensure secure CI/CD processes, while collaborating with analytics and platform teams.

Responsibilities include monitoring production incidents, implementing data quality tests, and driving incremental data solutions at scale in a fast-growing environment.

Qualifikationen

• 5+ years of data engineering or related experience.
• Excellent knowledge of SQL and understanding of data warehouse concepts.
• Hands-on experience in Redshift (or similar).
• Hands-on experience with ELT/ETL flows using dbt and Apache Airflow.
• Solid AWS experience across object storage, containers, managed ETL, and related analytics services.
• Experience with Git, CI/CD, and Docker.
• Proven ability to own projects from requirements gathering through production monitoring.
• Strong operational mindset to troubleshoot systematically.
• Ability to work independently while collaborating well with analytics and platform stakeholders.

Aufgaben

• Own data pipelines end to end: design, build, run, monitor, and troubleshoot.
• Build and maintain Apache Airflow workflows.
• Develop dbt models in Redshift, including incremental strategies and data quality tests.
• Design and build lake-layer pipelines.
• Manage cloud infrastructure and configuration.
• Maintain CI/CD pipelines with secure cloud authentication.
• Investigate and resolve production incidents using monitoring and alerting effectively.
• Follow the typical new source flow end to end.

Kenntnisse

SQL

Data warehousing

ETL/ELT

Data pipelines

Incident troubleshooting

Independent work

Collaboration

Tools

Apache Airflow

dbt

Redshift

AWS

Git

CI/CD

Docker

Jobbeschreibung

Responsibilities

• Own data pipelines end to end: design, build, run, monitor, and troubleshoot.
• Build and maintain Apache Airflow workflows.
• Develop dbt models in Redshift, including incremental strategies and data quality tests.
• Design and build lake-layer pipelines.
• Manage cloud infrastructure and configuration.
• Maintain CI/CD pipelines with secure cloud authentication.
• Investigate and resolve production incidents using monitoring and alerting effectively.
• Follow the typical new source flow end to end.

Requirements

• 5+ years of data engineering or related experience.
• Excellent knowledge of SQL and understanding of data warehouse concepts.
• Hands‑on experience in Redshift (or similar).
• Hands‑on experience with ELT/ETL flows using dbt and Apache Airflow.
• Solid AWS experience across object storage, containers, managed ETL, and related analytics services.
• Experience with Git, CI/CD, and Docker.
• Proven ability to own projects from requirements gathering through production monitoring.
• Strong operational mindset to troubleshoot systematically.
• Ability to work independently while collaborating well with analytics and platform stakeholders.