Data Engineer Nearshore (m/f/d)

Design, build, and maintain scalable data pipelines using Python, Spark, and Databricks. Develop and optimize transformation pipelines for batch and streaming data. Apply software engineering and DevOps practices (CI/CD, testing, version control). Implement and operate data solutions on cloud platforms (AWS, Azure, or GCP). Collaborate closely with business stakeholders to gather, clarify, and translate requirements. Hands-on experience in Data Engineering with Python. Strong knowledge of Databricks / Sparks and building transformation pipelines. Experience with DevOps methodology and software-engineering-focused projects. Cloud expertise (AWS, Google Cloud, or Azure). Excellent communication and social skills, including collaboration with business stakeholders. Experience in requirement engineering. Industry knowledge in the energy sector (grid operations, local substations) is a plus. Possibilities to work in a home office. Varied tasks in a renowned company. You will work in an international environment. 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

Design, build, and maintain scalable data pipelines using Python, Spark, and Databricks. Develop and optimize transformation pipelines for batch and streaming data. Apply software engineering and DevOps practices (CI/CD, testing, version control). Implement and operate data solutions on cloud platforms (AWS, Azure, or GCP). Collaborate closely with business stakeholders to gather, clarify, and translate requirements.

Benefits

Possibilities to work in a home office. Varied tasks in a renowned company. You will work in an international environment.