About the Role
As a Senior Data & AI Engineer at Miele X, you will join a team of four engineers responsible for the data platform supporting Miele's e-commerce domain. You will play a key role in developing this platform and expanding it for an increasingly AI-driven way of working. You will design and build scalable data solutions, integrate new data sources and take ownership of key areas of our platform architecture and engineering standards. AI engineering will be a core part of your role.
Responsibilities
•Take ownership of key areas of the platform architecture, deliver ELT pipelines and data models, and integrate internal and external data sources through APIs and other interfaces.
•Drive the technical direction of our agent platform, build AI agents and lead the adoption of AI-native practices across data engineering and data processes.
•Develop and maintain business-relevant applications and define the technical architecture for custom automation workflows.
•Work closely with Data Analysts and business stakeholders to translate data, AI and automation needs into pragmatic technical solutions.
•Define technical standards and best practices, lead architectural decisions and continuously improve the quality and maintainability of our solutions.
•Train and guide more junior team members, provide technical support and share knowledge across the team.
•Stay at the forefront of developments in data engineering, AI and software development and turn relevant developments into practical improvements to our platform and ways of working.
Requirements
•5+ years of experience in data engineering, software engineering or a comparable technical role, with experience taking ownership of complex technical solutions.
•Strong hands-on proficiency in SQL and Python, with the ability to design, review and improve production-grade code.
•Strong knowledge of data warehousing and data modelling, including designing scalable data structures and transformation processes.
•Experience designing and delivering ELT pipelines and data integrations, including integrations with APIs and external data sources.
•Hands-on experience with coding agents and AI-assisted development, combined with a strong ambition to apply and expand these capabilities across data engineering.
•Experience taking ownership of technical architecture and engineering standards, and the ability to lead and communicate pragmatic technical decisions.
•Experience working directly with Analysts and business stakeholders to translate requirements into technical solutions.
•The ability and willingness to guide other engineers, review their work and share technical knowledge.
•A strong drive to develop further in AI engineering, experiment with emerging technologies and turn relevant developments into production-ready solutions.
Nice to Have
•Experience with Azure, Databricks, dbt and dltHub is a plus. These technologies form the core of our current data engineering stack.
•Experience building AI agents, agent platforms or AI-enabled applications is highly valued.
•You don't need to bring deep experience across all these areas, but you should be motivated to rapidly develop your AI engineering capabilities and help shape how we apply them.
Conditions
No conditions stated in the posting.
