Logo aconium GmbH

Data Engineer Business Intelligence

Job

  • Level
    Experienced
  • Location
    Berlin
  • Working Model
    Hybrid, Onsite
  • Job Field
    BI, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment

Job Summary

In this role, you will develop robust data pipelines and automated ETL processes using Python and Apache Airflow. You will integrate data sources, ensure data quality, and optimize performance in interdisciplinary projects.

Job Technologies

Your role in the team

  • Data pipelines and ETL processes: You design, develop, and operate robust and scalable data pipelines and automated ETL processes using Python, Apache Airflow, and dbt.
  • Process automation: You orchestrate, automate, and monitor data processing workflows, ensuring their reliable operation.
  • Data Integration: You integrate and transform data from various internal and external sources.
  • Data modeling: You develop suitable data models for reporting, analysis, and business intelligence applications and continuously expand them.
  • Data quality and performance: They ensure the quality, consistency, and traceability of data and optimize database queries as well as data processing workflows for performance.
  • Data architecture and documentation: You continuously develop our data architecture and data processes and ensure structured and comprehensible documentation.
  • Interdisciplinary collaboration: Together with the specialist departments, you analyze data-related requirements and translate them into suitable technical solutions.

This text has been machine translated. Show original

Our expectations of you

Qualifications

  • You are experienced in the development and automation of ETL processes and scalable data pipelines.
  • You have a good understanding of data modeling, relational data warehouse design, data quality, and high-performance data processing.
  • You are familiar with modern data engineering practices and technologies such as Git, CI/CD, automated testing, and containerization.
  • Knowledge of Talend Data Integration and Tableau is advantageous.
  • A structured and self-reliant working style, strong team spirit, as well as very good German and English skills, complete your profile.

Experience

  • You have excellent knowledge of Python and SQL as well as practical experience with Apache Airflow and dbt.
  • You have extensive experience working with relational database systems, particularly PostgreSQL and MySQL.
  • Experience with desktop GIS applications and geospatial data is desirable.

This text has been machine translated. Show original

What we offer

  • Permanent employment with flexible working hours, an option for a four-day workweek, and remote work.
  • Comprehensive mental health program in partnership with an external provider.
  • Individual training budget and targeted development opportunities.
  • A modern, open-plan office in the heart of Berlin – with plenty of space for交流, networking, and collaboration.
  • Versatile projects in a growing, internationally oriented company - with room for your own ideas and responsibility.
  • Structured onboarding process for a quick and successful integration.
  • Company pension scheme for long-term security.
  • Access to attractive employee discounts via the corporate benefits platform.
  • Regular team events and internal training formats.

This text has been machine translated. Show original

Benefits

Work-Life-Integration

Health, Fitness & Fun

Food & Drink

Topics You Will Work On

Job Locations

  • Location Berlin

    Germany

About Your Employer

aconium GmbH

aconium GmbH

aconium GmbH is an established partner for the public sector, operating in the fields of digitalization, energy, mobility, and education. The company brings together over 350 professionals to develop tailored solutions.

Description

  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Consulting
Logo aconium GmbH

Data Engineer Business Intelligence

Location
Berlin
Working Model
Hybrid, Onsite
Diversity
Open for all genders

More Jobs