Cloud Data Engineer (m/f/d)

We make the world better with data The Woodmark Group is a leading consulting organization specializing in AI, data, and analytics. We inspire people through our passion for data and innovation while supporting organizations on their digital transformation journey. Living our values of respect, openness, trust, and care fosters an excellent corporate culture and forms the foundation of our success. Your diverse range of responsibilities DevOps is fully integrated into our work : As part of a DevOps team, you’ll independently develop cloud-based and on-premises data pipelines to serve as the foundation for data platforms. Translating and Implementing Requirements : Based on business requirements, you’ll create technical data engineering concepts and implement them in code. You’ll apply your knowledge of technologies and the appropriate tools (coding, ETL, data prep, streaming), data storage systems (Blob stores, SQL, NoSQL, document, and Node databases), and state-of-the-art modeling techniques to support clients with proof-of-concepts and implement client requirements in projects. Taking on responsibility : You’ll be able to independently execute and manage smaller projects or subprojects as a technical project manager. Drawing on your wealth of experience, you’ll support less experienced team members within the team. Communication is key : You’ll be in constant, close contact with the various departments and architects to coordinate project-related matters your clients, to ensure professional expectation management and client satisfaction your project team, to ensure the project’s success, and, of course, the Woodmark team, to strengthen knowledge sharing and mutual support What you bring to the table Project Experience : You have at least 2 years of project experience, a solid understanding of data engineering services, and knowledge of related services such as streaming, machine learning, and reporting. Expertise is a given : You have Knowledge of various data storage technologies (SQL databases, data lakes, lakehouses) In-depth knowledge of Python, SQL, Java, or Scala Strong knowledge of various data structures (relational, JSON, XML) and their processing options (API, batch, messaging, streaming) Strong knowledge of data processing and analysis in the cloud, particularly with AWS Lambda, Glue, Databricks, Snowflake, Microsoft Fabric, or dbt Knowledge of code version control and CI/CD pipelines Knowledge of container technologies such as Docker Knowledge of big data processing and analysis with Spark Knowledge of workflow management systems such as Airflow, AWS Data Pipelines, EKS, or Step Functions A stakeholder-oriented mindset helps us move forward: You have experience collaborating with stakeholders at various levels. Support the “Making of a Star” : You enjoy supporting other Woodmarkers with your experience, because we love diversity and you make a difference. Very good German and English skills : You’re comfortable with the German language and English documentation, and you can participate when English is spoken during project work.