Senior Data Engineer (m/w/d)

• Focus: Data Analytics, Data Science
• Technologie: Cloud, Microsoft
• Karrierelevel: Senior & Managing Consultant, Consultant
• Location: Hamburg, Berlin, Cologne, Hybrid / Remote

Shape the technological future of accantec with us as a Senior Data Engineer (m/f/d)!

You will be the driving force behind modern data platforms based on the Lakehouse approach, developing robust, scalable data pipelines, modeling complex data structures, and delivering high-performance, clean data solutions that provide real added value for our customers. Become part of our expert team on a permanent, full-time basis at our locations in Berlin, Cologne, Hamburg, or remotely.

We are an owner-managed company that has specialized in Business Intelligence for over 20 years and has successfully established itself as one of the leading providers in the DACH region! In this exciting field, we offer you a diverse range of tasks with innovative technologies from our partners SAP, Microsoft, IBM, and SAS – also in the cloud with Azure, AWS, and Google! We foster a friendly company culture with flat hierarchies and short decision-making processes, as well as an open feedback and learning culture. Independent and self-organized work is a given here.

Your tasks with us

• Architecture and development of scalable ETL/ELT processes and data pipelines on Databricks in the Azure Cloud
• Data modeling and construction 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 diverse sources into data warehouses or lakehouse environments
• Implementation of best practices in the areas of data governance, monitoring and security
• Mentoring younger colleagues and actively shaping our technical standards
• Close collaboration with data scientists, analysts and consultants to implement data-driven solutions.

That's what makes you stand out.

• Completed studies in (business) informatics, data science or a related field
• Project experience in the development and operation of modern data platforms
• 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.
• Confident 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

You can look forward to that.

• Excellent career opportunities.
• We support your career with an individual career path model.
• Individual work-life balance:
• We value a balanced relationship between work and leisure.
• Attractive salary model:
• We reward your commitment twice over.
• Mobility:
• With Deutschlandticket, Bahncard & Jobrad you are always mobile with us
• Sports offer:
• The EGYM Wellpass allows you to train throughout Germany - at home as well as while traveling.
• Health:
• Workplace health promotion for your well-being
• Anniversary:
• ​​Your company affiliation is a reason to celebrate!
• Company & Team Events:
• You meet the entire team regularly for team activities.
• Credit card:
• Attractive conditions with a company credit card
• Advantage portals:
• Your access to numerous discounts
• This includes
• snacks & drinks, corporate wear and ergonomic workstations, as a matter of course for us.