MES Data Engineer – Snowflake | Kafka | Data Streaming | GxP

Project overview

We are looking for an experienced Data Engineer with profound knowledge in Apache Kafka, Snowflake, and modern data streaming architectures for an international company in the regulated industry.

As part of an extensive modernization project, existing legacy systems are to be gradually replaced by scalable, event-driven data integration solutions.

We are seeking a technically proficient developer who can independently handle the end-to-end conception and implementation of modern data pipelines.

Responsibilities

Conception, development, and implementation of end-to-end data integration solutions

Setup and further development of data streaming architectures with Apache Kafka

Integration and processing of data within the Snowflake platform

Development and optimization of ETL/ELT processes and data pipelines

Connection of existing MES and legacy systems to modern data platforms

Implementation of Change Data Capture (CDC) and event-driven data flows

Support in the migration of existing database architectures

Participation in an agile project environment with an international team

Your Profile – Must-haves

Several years of practical experience in data engineering and in the development of complex data integration solutions

Very good knowledge of Apache Kafka and data/event streaming

Profound practical experience with Snowflake

Experience in the development and implementation of ETL/ELT processes

Experience with event-driven architectures and end-to-end development

Project experience in a regulated environment (GxP/GMP)

Good English skills

Nice-to-haves

Experience with Manufacturing Execution Systems (MES), especially Werum PAS-X / PDA

Knowledge of Oracle, PostgreSQL, and SQL

Experience with Debezium, Kafka Connect, and CDC

Apache Flink / Flink SQL

GoldenGate / XStream

Kubernetes / OpenShift

Python, Liquibase, and Git / CI/CD

German language skills

Framework Conditions

The project will be implemented agilely and offers a high remote component. Occasional in-person meetings, for example for technical workshops or hackathons, will be flexibly coordinated according to project needs.

The initial duration is eight months with a possible extension of one to two months.

Interested?

Do you have profound experience with Kafka, Snowflake, and data engineering and have already worked in a regulated industrial environment?

Then I look forward to receiving your current profile, your availability, and your hourly rate.

Even if you don't meet all the nice-to-have requirements, I look forward to hearing from you.

Project details

March / April 2027

8 months (+ option for extension)

Utilization: Full-time (5 days/week)

Predominantly Remote, occasional on-site workshops

Project Language: English (German advantageous)

Industry: Regulated Industry

• Start: 2027-03
• Duration: 8 Monate
• Remote: remote
• Location: Düsseldorf, Deutschland, DE
• Languages: German