Senior Professional Data Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Design and develop cloud-native data services utilizing contemporary microservices architectures.

• Create and manage semantic data products that leverage knowledge graphs, metadata, and data contracts, adhering to a data-centric methodology.

• Work with tools such as dbt, Trino, or Dremio in a cloud-native setting.

• Maintain data quality, observability, and governance across data products.

• Integrate data platforms into current enterprise architectures.

• Collaborate with Data Architects, Knowledge Engineers, and AI Engineers to execute data-driven use cases.

• Contribute to the development of data-centric development standards and best practices.

• Utilize the most recent frameworks and products in the data and cloud-native sectors.

• Engage with both existing and potential customers within a Community of Practice.

• Work alongside Project Leads, Product Owners, Business Analysts, Security Engineers, Operations Teams, and Test Teams.

⛳️ Requirements

• Proficient in German, both in writing and speaking (C1 level).

• Strong command of English.

• Bachelor's degree in Computer Science, Data Science, or a related field.

• Several years of experience in data-related projects.

• Proven experience in programming data pipelines and integration services.

• Familiarity with REST, OpenAPI, Kafka, AsyncAPI, and API testing.

• Experience in developing microservices within a cloud-native environment.

• Knowledge of Spring Boot, Quarkus, or similar microservices frameworks.

• Familiarity with Kubernetes and AWS.

• Solid understanding of relational and non-relational databases (SQL, NoSQL, and graph databases).

• Comprehension of data architecture and data engineering principles.

• Knowledge of data-centric architecture, data products, event-driven architectures, ETL/ELT, and data pipelines.

• Ideally, some exposure to semantic technologies such as graph databases, RDF, and SPARQL.

• Understanding of security, privacy, and governance issues in data-driven systems.

• Excellent communication skills, analytical thinking capabilities, and a self-directed working style.

🏝️ Benefits

• 31 vacation days from the outset, with the potential to increase to 40 days.

• Annual training budget amounting to 3% of gross salary.

• Flexible working hours.

• Options for remote work.

• Childcare/daycare financial support.

• Summer parties, Christmas parties, and various team events.

• JobRad bicycle leasing program.

• Subsidy for VGN/public transportation.

• Company pension scheme contributions.

• Capital-forming benefits (VWL).

• Modern office featuring a billiards room, foosball table, and massage chair.

• Corporate Benefits program offering discounts on shopping and sports.

• Complimentary drinks, muesli, and fruit available at the workplace.

• A Christmas tree provided for each employee.