Data Engineer Nearshore (m/f/d)

Build and maintain ETL pipelines from various data sourcesWork with Databricks, PySpark and Azure cloud infrastructureDesign and optimize robust and scalable data pipelines for large datasetsHandle real-time data processing (e.g. Kafka, streaming)Connect and manage data flows to target systems (e.g. Power BI, SharePoint)Work with Infrastructure as Code (Terraform)Ensure data quality, performance and governance complianceAct as a bridge between business stakeholders and technical teams Fluent in German & EnglishHands-on experience in data engineering with PythonStrong knowledge of Databricks/Spark and building transformation pipelinesExperience with DevOps methodology and software-engineering-focused projectsCloud expertise (like AWS, Google Cloud or Azure)Excellent communication and social skills, including collaboration with business stakeholdersExperience in requirements engineeringIndustry knowledge in the energy sector is a plus Interesting tasks in a multinational environmentPossibilities to work in a home office IT is and always has been our core business that laid the foundation for Hays' success. We are the biggest privately owned IT recruitment agency in Germany and offer the best jobs for every career level – whether you are interested in vacancies in agile SMEs or international DAX groups. Hays masters the entire IT job spectrum, from support to software architecture or digitalisation – thanks to our broad portfolio, we have something for everyone. In the last decades, we were able to support numerous IT experts with choosing the right path for a successful career, positioning ourselves as their lifelong partner. Our highly specialised consultants can cater to your every wish and expectation and will prepare you for interviews and contract negotiations. Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you.

Responsibilities

Build and maintain ETL pipelines from various data sourcesWork with Databricks, PySpark and Azure cloud infrastructureDesign and optimize robust and scalable data pipelines for large datasetsHandle real-time data processing (e.g. Kafka, streaming)Connect and manage data flows to target systems (e.g. Power BI, SharePoint)Work with Infrastructure as Code (Terraform)Ensure data quality, performance and governance complianceAct as a bridge between business stakeholders and technical teams

Benefits

Interesting tasks in a multinational environmentPossibilities to work in a home office