Data and AI Engineer (f/m/x)

We are looking for an experienced Data and AI Engineer to design and build modern, cloud‑based data and artificial intelligence solutions. This role combines data engineering, analytics, and machine learning practices, with a strong focus on creating scalable platforms that turn complex information into reliable data products and intelligent automation. You will collaborate closely with technical and business teams to deliver solutions that support operational processes, research activities, and strategic decision‑making in a hybrid work model.

Your tasks

• Build scalable architectures for batch, event-driven, and near-real-time data processing

• Design and implement end-to-end cloud-native data and AI pipelines on AWS, covering data ingestion, processing, storage, and monitoring, with a focus on observability at every stage

• Develop and productionize machine learning and analytics workflows, including feature preparation and model lifecycle support

• Configure intelligent agents and reusable components to support data quality, analysis, reporting, and process automation

• Create and integrate APIs and services that enable reliable data and AI products at scale

• Promote high engineering standards, including automated testing, continuous delivery, and clear technical documentation

Requirements

• At least 5 years of professional experience in data engineering or a closely related role

• Strong knowledge of cloud native data platforms and distributed data processing concepts

• Experience working with machine learning or advanced analytics in production environments

• Solid software engineering skills, including clean code practices and version control

• Ability to collaborate with cross-functional teams and translate business needs into technical solutions

• Fluent in spoken and written English, with openness to hybrid work from an office location