Data Engineer, Business Intelligence (m/f/d)

Aconium

Berlin

Hybride

EUR 70 000 - 95 000

Plein temps

Il y a 47 heures
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Avantages offerts par ce poste

Mental health services
Training budget
Office in Berlin
Remote work option
Regular team events
Retirement plan
Employee discounts

Résumé du poste

Aconium in Berlin seeks a Data Engineer for Business Intelligence to join our data-driven team. You will design and maintain scalable data pipelines and ETL processes, while collaborating across departments to deliver reliable BI solutions.

You will work with Python, SQL, Airflow, and dbt, and contribute to data modeling, quality, and performance improvements in a dynamic, international environment.

Qualifications

  • Strong knowledge of Python and SQL.
  • Hands-on experience with Apache Airflow and dbt.
  • Experience with PostgreSQL and MySQL.
  • Experience in ETL development and scalable data pipelines.
  • Familiar with Git, CI/CD, automated testing, and containerization.
  • Knowledge of Talend Data Integration and Tableau is a plus.
  • Experience with desktop GIS applications and geodata is preferred.
  • Excellent German and English language skills.

Responsabilités

  • Design, develop, and operate robust data pipelines and automated ETL processes.
  • Orchestrate, automate, and monitor data workflows for reliable operation.
  • Integrate and transform data from various sources.
  • Develop data models for reporting and BI applications.
  • Ensure data quality and optimize performance of queries and workflows.
  • Refine data architecture and document data processes.
  • Collaborate with departments to translate data requirements into technical solutions.

Connaissances

German language
English language

Outils

Python
SQL
Apache Airflow
dbt
PostgreSQL
MySQL
Git
CI/CD
Automated testing
Containerization
Talend Data Integration
Tableau
Desktop GIS
Geodata

Description du poste

Data Engineer, Business Intelligence (m/f/d)

We are currently seeking a Data Engineer - Business Intelligence (m/f/d) for our Berlin office, to start immediately. This is a full-time position consisting of 40 hours per week.

We invite you to play an active role in shaping innovation and digital transformation and to grow alongside us! What are you waiting for?!

Your responsibilities:

  • 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 and ensure their reliable operation.
  • Data Integration: You integrate and transform data from various internal and external sources.
  • Data Modeling: You will develop appropriate data models for reporting, analytics, and business intelligence applications and continuously expand them.
  • Data Quality and Performance: They ensure the quality, consistency, and traceability of data and optimize the performance of database queries and data processing workflows.
  • Data Architecture and Documentation: You will continuously refine our data architecture and data processes and ensure that documentation is structured and traceable.
  • Interdisciplinary Collaboration: Working together with the various departments, you will analyze data-related requirements and translate them into appropriate technical solutions.

Your requirements:

  • You have very strong knowledge of Python and SQL, as well as hands-on experience with Apache Airflow and dbt.
  • You have extensive experience working with relational database systems, particularly PostgreSQL and MySQL.
  • You have experience in developing and automating ETL processes and scalable data pipelines.
  • You have a solid 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 a plus.
  • Experience working with desktop GIS applications and geodata is preferred.
  • A structured and independent work style, a strong team spirit, and excellent German and English language skills round out your profile.

What we offer you:

  • Permanent, full-time position with flexible working hours, the option of a four-day workweek, and the ability to work remotely
  • Comprehensive mental health services in collaboration with an external partner
  • Personalized training budget and targeted development opportunities
  • A modern, open-concept office in the heart of Berlin - with plenty of space for discussion, networking, and collaboration
  • Diverse projects at a growing, internationally oriented company - with room for your own ideas and responsibility
  • A structured onboarding process for a quick and successful start
  • Employer-Sponsored Retirement Plans for Long-Term Financial Security
  • Access to attractive employee discounts through the corporate benefits platform
  • Regular team events and internal training programs

Location:BerlinStart:immediatelyScope:Full-time (40 hours) Job Title: Data Engineer, Business Intelligence

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