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Senior Data Engineer

Job

  • Level
    Senior
  • Job Field
    BI, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Hamburg, Berlin, Cologne
  • Working Model
    Full Remote, Hybrid, Onsite
  • Job Summary

    In this role, you develop data-driven solutions by designing scalable ETL processes and maintaining data pipelines in Azure Cloud, collaborating closely with data scientists and analysts.

    Job Technologies

    Your role in the team

    • Architecture and development of scalable ETL/ELT processes and data pipelines on Databricks in the Azure Cloud.
    • Data modeling and building of Lakehouse architectures (e.g., Delta Lake, Medallion model, Dimensional Modeling).
    • Automation and optimization of data flows for performance, quality, and stability.
    • Integration and transformation of data from various sources into data warehouses or lakehouse environments.
    • Implementation of best practices in the areas of Data Governance, Monitoring, and Security.
    • Mentoring junior colleagues and actively shaping our technical standards.
    • Close collaboration with Data Scientists, Analysts, and Consultants to implement data-driven solutions.

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    Our expectations of you

    Education

    • Completed degree in (Business) Informatics, Data Science, or a related field.

    Qualifications

    • Deep technical expertise in Databricks, Azure Synapse, Azure Data Factory, Python (pandas, PySpark), and SQL.
    • Solid knowledge of data modeling (e.g., Star Schema, Data Vault, Lakehouse).
    • Experienced in ETL-/ELT processes, performance tuning, and workflow orchestration.
    • Proficient handling of cloud environments, ideally Microsoft Azure.
    • Knowledge of Microsoft Fabric, Apache Kafka, or Apache Airflow is advantageous.
    • Understanding of Data Governance, Security, and Compliance.
    • Databricks certifications (e.g., Certified Data Engineer Associate or Professional) are a plus.
    • Analytical thinking, strong communication skills, and enjoyment of teamwork.
    • Very good German skills (C1) and good English skills.

    Experience

    • Project experience in the development and operation of modern data platforms.

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    What we offer

    • Excellent career opportunities. We support your career with a personalized career development model.
    • Individual work-life balance. We value a balanced approach between work and leisure.
    • Attractive salary model. We reward your commitment twice.
    • Mobility. With the Germany Ticket, BahnCard & JobRad, you are always mobile with us.
    • Sports offer. The EGYM Wellpass enables you to train nationwide - both at home and while traveling.
    • Health. Corporate health promotion for your well-being.
    • Anniversary. Your tenure with the company is a reason to celebrate.
    • Company & team events. You regularly meet the entire team for team activities.
    • Credit card. Attractive conditions with a corporate credit card.
    • Benefit portals. Your access to numerous discounts.
    • This is a matter of course for us. Snacks & beverages, corporate wear, and ergonomic workplaces.

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    Benefits

    Health, Fitness & Fun

    Work-Life-Integration

    Higher Take-Home Pay

    Topics You Will Work On

    Job Locations

    • Location Cologne

      Nordrhein-Westfalen

      Germany

    • Location Berlin

      Germany

    • Location Hamburg

      Germany

    About Your Employer

    accantec group

    accantec group

    For 20 years, the accantec group has been a leading provider of Business Intelligence solutions with locations in Hamburg, Frankfurt, Heidelberg, Cologne and Munich.

    Description

  • Company Size
    1-49 Employees
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Internet, IT, Telecommunication
  • Logo accantec group

    Senior Data Engineer

    Location
    Hamburg, Berlin, Cologne
    Working Model
    Full Remote, Hybrid, Onsite
    Diversity
    Open for all genders

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