Senior Data Engineer

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AI Summary

We are looking for a skilled Data Engineer to design and optimize robust data infrastructure. The role involves developing and maintaining data pipelines and ETL/ELT processes, working with large-scale structured and unstructured datasets, and collaborating with data analysts and engineers.

Key Highlights
Design and optimize data infrastructure
Develop and maintain data pipelines and ETL/ELT processes
Collaborate with data analysts and engineers
Key Responsibilities
Design, build, and maintain data pipelines and ETL/ELT processes
Develop and optimize data architectures and data warehouses
Work with large-scale structured and unstructured datasets
Collaborate with data analysts, data scientists, and engineers
Ensure data quality, reliability, and performance
Implement data integration and transformation processes
Manage data workflows using tools like Airflow or similar
Technical Skills Required
SQL Python Spark Hadoop ETL tools data pipeline frameworks Snowflake Redshift BigQuery AWS Azure GCP
Benefits & Perks
Competitive salary
Flexible working hours
Hybrid/remote options
25-30 days annual leave
Health insurance and social security benefits
Learning budget and certifications
Innovative and international work environment
Visa sponsorship/EU Blue Card support
Nice to Have
Familiarity with ETL tools and data pipeline frameworks
Knowledge of data warehousing (Snowflake, Redshift, BigQuery)
Experience with cloud platforms (AWS, Azure, GCP)

Job Description


📌 Job Title: Data Engineer

📍 Location: Berlin / Munich / Frankfurt / Hamburg, Germany

💼 Employment Type: Full-time (Hybrid / Remote options available)

🏢 Company: CIT Strategic Outsourcing

🌟 About the Company

CIT Strategic Outsourcing is a data-driven organisation building scalable data platforms to support analytics, AI, and business intelligence across Germany and Europe. We are looking for a skilled Data Engineer to design and optimise robust data infrastructure.

🚀 Key Responsibilities
  • Design, build, and maintain data pipelines and ETL/ELT processes
  • Develop and optimise data architectures and data warehouses
  • Work with large-scale structured and unstructured datasets
  • Collaborate with data analysts, data scientists, and engineers
  • Ensure data quality, reliability, and performance
  • Implement data integration and transformation processes
  • Manage data workflows using tools like Airflow or similar
🎯 Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
  • 2–5 years of experience in data engineering or backend engineering
  • Strong proficiency in SQL and Python
  • Experience with big data tools (Spark, Hadoop)
  • Familiarity with ETL tools and data pipeline frameworks
  • Knowledge of data warehousing (Snowflake, Redshift, BigQuery)
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Understanding of data modelling concepts
  • Strong problem-solving and analytical skills
  • Fluent in English; German is a plus
💡 What We Offer
  • Competitive salary aligned with the German data engineering market (€65K–€95K / Senior €110K–€130K+)
  • Flexible working hours and hybrid/remote options
  • 25–30 days annual leave
  • Health insurance and social security benefits
  • Learning budget and certifications (Cloud / Data)
  • Innovative and international work environment
  • Visa sponsorship / EU Blue Card support if applicable


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