Cloud Data Engineer - AWS and Databricks

Your role in the team

• Development and maintenance of data pipelines using Databricks on AWS and dbt for BI and AI use cases, including versioning and deployment via Git and CI/CD pipelines.
• Infrastructure automation and deployment of cloud resources with Terraform.
• Ensuring data quality, consistency, and scalability of the data infrastructure.
• Close collaboration with data scientists, IT architects, BI analysts, other data engineers, and business units to enable data-driven solutions and analyses.
• Contribution to the definition of standards, best practices, and governance policies for the data platform.

What we offer

• Proportional home office (60%).
• Attractive compensation with 14.25 salaries.
• Participation in Hansefit and a variety of corporate sports opportunities.
• Flexible working time models without core hours.
• Comprehensive training and development program.
• Very good company restaurant.
• Financial subsidy for the Deutschland Ticket.
• Company pension scheme and asset-building benefits.
• Option to convert special payments into time off.
• Discounted insurance conditions.

Technologies and skills

• AWS
• SQL
• Terraform
• Git
• Python

Our expectations:

Qualifications

• Analytical thinking, problem-solving skills, and enthusiasm for data-driven solutions.
• Team player with good communication skills and a solution-oriented as well as independent work approach.

Experience

• Several years of experience in Cloud Data Engineering, particularly with dbt, Gits, and Databricks on AWS, as well as proficiency in SQL and Python.
• Several years of experience in the financial services sector.
• Experience with agile working / agile projects.

Education

• Completed degree in Computer Science, Business Informatics, or a related field, or an equivalent qualification.

Benefits

• Flexible Working Hours