Senior Data Engineer – Hybrid in Düsseldorf | Analytics

beON consult; Deutschland; Hybrid; USD 104,000 - 150,000; Full time

Job summary

A leading IT consulting firm in Germany is seeking a Senior Data Engineer to design and implement scalable data systems. Responsibilities include building ETL/ELT pipelines, ensuring data quality, and collaborating with cross-functional teams. Candidates should have a Bachelor's or Master's degree in a relevant field and over 5 years of experience in data engineering, proficient in Python and SQL. This permanent, full-time role offers a competitive salary and hybrid working options.

Qualifications

• 5+ years of hands-on experience in data engineering, ideally in complex enterprise or industrial environments.
• Familiarity with real-time data pipelines (e.g., Kafka, Flink, or similar) and AI initiatives.
• Deep understanding of AI theories, data modeling, transformation, and automation concepts.

Responsibilities

• Design and implement modern, scalable ETL/ELT pipelines across a range of enterprise and operational systems.
• Ensure high data quality, consistency, and reliability using automated validation and monitoring mechanisms.
• Lead efforts to harmonize data structures, naming conventions, and definitions across platforms.
• Contribute to building a unified data architecture that enables comprehensive analytics and reporting.
• Develop monitoring dashboards and KPIs in collaboration with business and technical teams.
• Implement streaming and batch data flows to support real-time decision support.
• Support analytical use cases by preparing structured, well-documented data layers.
• Collaborate closely with cross-functional teams, including data scientists, software engineers, and business stakeholders.
• Contribute to data governance, documentation, and security best practices.

Skills

Python

SQL

Spark

Airflow

dbt

Cloud platforms (AWS, Azure, GCP)

BI/visualization tools (Power BI, Grafana, Tableau)

Education

Bachelor’s or Master’s in Computer Science, Data Engineering, or related field

Job description

Work Location: and/or , Hybrid, Düsseldorf, Deutschland

Employment Type: Permanent, Full-time

Start: As soon as possible

Language Requirements: English (German is a plus)

Compensation: Competitive salary (open range) with bonus opportunities and increases based on experience.

About US

beON is a leading IT consulting company in Germany that delivers innovative IT services and high-performance software technology solutions to market-leading enterprise clients. We specialize in advanced tech stack projects, providing our customers with a decisive competitive edge for their digital future. Our company culture is defined by flat hierarchies, agility, and international collaboration. With headquarters in Kiel and Düsseldorf and additional locations in Munich, Berlin, Frankfurt, Hamburg, Vienna, Lisbon, and Hyderabad (India), we offer a modern working environment and the opportunity to become part of a dedicated tech community.

About The Role

We are looking for an experienced and solution-oriented Senior Data Engineer to join a strategic client project focused on enterprise-scale data integration and advanced analytics. You will play a key role in building robust, scalable data systems that support operational insights and prepare the foundation for future AI initiatives.

Key Responsibilities

• Design and implement modern, scalable ETL/ELT pipelines across a range of enterprise and operational systems.
• Ensure high data quality, consistency, and reliability using automated validation and monitoring mechanisms.
• Lead efforts to harmonize data structures, naming conventions, and definitions across platforms.
• Contribute to building a unified data architecture that enables comprehensive analytics and reporting.
• Develop monitoring dashboards and KPIs in collaboration with business and technical teams.
• Implement streaming and batch data flows to support real-time decision support.
• Support analytical use cases by preparing structured, well-documented data layers.
• Collaborate closely with cross-functional teams, including data scientists, software engineers, and business stakeholders.
• Contribute to data governance, documentation, and security best practices.
  
  

Your Profile

• Bachelor’s or Master’s in Computer Science, Data Engineering, or a related technical field.
• 5+ years of hands-on experience in data engineering, ideally in complex enterprise or industrial environments.
• Strong skills in Python, SQL, Spark, Airflow, dbt, or similar modern data engineering tools.
• Familiarity with real-time data pipelines (e.g., Kafka, Flink, or similar) and AI initiatives.
• Experience working with cloud platforms (e.g., AWS, Azure, GCP) and on-premise architectures.
• Comfortable with BI/visualization tools (e.g., Power BI, Grafana, Tableau).
• Deep understanding of AI theories, data modeling, transformation, and automation concepts.
• Strong communication skills and the ability to work in cross-functional international teams.
  
  

Application Process

Ready to advance your career at beON? Submit your CV to [e-mail] with “Senior Data Engineer” as the subject. We respect your busy schedule and do not require a cover letter.