Senior Data Engineer

WorkMotion; Deutschland; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading company is seeking a senior Data Engineer to develop and maintain a cloud-native data platform. You will design ETL pipelines, manage data infrastructure, and collaborate with an international team. This role offers competitive compensation, flexible remote work opportunities, and a focus on personal development.

Leistungen

Flexible remote work opportunities

Personal development budget

Career growth opportunities

Competitive compensation and benefits

Qualifikationen

• 3-5 years of professional experience in Data Engineering or Software Development.
• Hands-on experience with AWS services (Glue, S3, Athena, EC2).
• Familiarity with Delta Lake or similar data lake frameworks.

Aufgaben

• Design, build, and maintain scalable ETL pipelines using Apache Airflow and AWS Glue.
• Manage data lake infrastructure using Delta Lake on S3 with Athena as the query layer.
• Collaborate with analytics, product, and engineering teams to define data requirements.

Kenntnisse

Python

SQL

PySpark

Data modeling

ETL best practices

Data pipeline performance optimization

Tools

AWS Glue

Apache Airflow

Delta Lake

GitHub

Jobbeschreibung

As a senior Data Engineer at WorkMotion, you will be at the heart of a modern, scalable, and cloud-native data platform. You'll help drive the development and maintenance of our end-to-end data infrastructure, supporting everything from ingestion to reporting. If you thrive in a fast-paced environment, enjoy building robust data pipelines, and want to work with a highly motivated international team, this is the role for you.

What You'll Do

Design, build, and maintain scalable ETL pipelines using Apache Airflow and AWS Glue (Spark)

Work with a range of data sources including Salesforce, NetSuite, PostgreSQL, and MongoDB

Develop and optimize PySpark jobs for large-scale data transformation and analytics

Manage data lake infrastructure using Delta Lake on S3 with Athena as the query layer

Ensure data quality, performance, and reliability through monitoring, testing, and documentation

Collaborate with analytics, product, and engineering teams to define data requirements

Contribute to CI/CD workflows with GitHub and deployment automation

Participate in architectural discussions and advocate for best practices in data engineering

Requirements

3-5 years of professional experience in Data Engineering or Software Development with a focus on data

Strong knowledge of Python and SQL; and PySpark.

Hands-on experience with AWS services (Glue, S3, Athena, EC2)

Experience with Apache Airflow, preferably in a Dockerized/cloud-native environment

Familiarity with Delta Lake or similar data lake frameworks

Proficiency with source control (GitHub) and CI/CD workflows

Strong understanding of data modeling, ETL best practices, and data pipeline performance optimization

Benefits

Why Join Us

Work with a cutting-edge, cloud-native data infrastructure

Join an international team with flexible remote work opportunities across Europe

Collaborate in a modern agile environment with a focus on high-quality engineering

Personal development budget and career growth opportunities

Competitive compensation and benefits tailored to the European market