Senior Data and AI Engineer

Miele; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Miele X is seeking a Senior Data & AI Engineer to join a team building and expanding a scalable data platform supporting Miele’s e-commerce domain. You will own key platform areas, develop ELT pipelines, and integrate diverse data sources via APIs.

AI engineering will be central, shaping agent architecture and enabling AI-native practices across data processes. You will collaborate with Data Analysts and business stakeholders to translate data, AI and automation needs into robust technical

Qualifications

• 5+ years of experience in data engineering, software engineering or a comparable technical role.
• Strong hands-on proficiency in SQL and Python.
• Strong knowledge of data warehousing and data modelling.
• Experience designing and delivering ELT pipelines and data integrations.
• Hands-on experience with coding agents and AI-assisted development.
• Experience taking ownership of technical architecture and engineering standards.
• Experience working with Analysts and business stakeholders to translate requirements into technical solutions.
• Ability to guide other engineers and share knowledge.
• Ambition to grow in AI engineering and apply emerging technologies.

Responsibilities

• Own and evolve the data platform architecture and deliver ELT pipelines.
• Shape AI and agent capabilities and lead adoption of AI-native practices across data engineering.
• Build applications and define the architecture for automation workflows.
• Translate business needs into pragmatic technical solutions with stakeholders.
• Define technical standards and lead architectural decisions to improve solution quality.
• Mentor junior engineers and share knowledge across the team.
• Keep abreast of AI, data engineering and software development developments and translate them into practical improvements.

Skills

5+ years experience

SQL

Python

data warehousing

data modelling

ELT pipelines

AI-assisted development

technical architecture

stakeholder collaboration

leadership

AI engineering

Tools

Azure

Databricks

dbt

dltHub

Job description

JOB OVERVIEW

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. You will shape the architecture of our agent platform , further develop AI agents and solutions, and lead the adoption of AI-native practices across our data processes. This includes designing how agents interact with data, tools and systems, as well as introducing agentic development practices that change how we build, operate and improve our data platform.

You will work closely with Data Analysts, Engineers and business stakeholders to translate data, AI and automation needs into robust technical solutions. As a senior member of the team, you will lead discussions and decisions around technical topics , establish engineering standards and drive continuous improvement in the way we build.

YOUR DAY-TO-DAY JOB

• Own and evolve our data platform: 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.
• Shape our AI and agent capabilities: 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.
• Build applications and automations: Develop and maintain business-relevant applications and define the technical architecture for custom automation workflows.
• Turn business needs into solutions: Work closely with Data Analysts and business stakeholders to translate data, AI and automation needs into pragmatic technical solutions.
• Drive engineering standards: Define technical standards and best practices, lead architectural decisions and continuously improve the quality and maintainability of our solutions.
• Lead and enable others: Train and guide more junior team members, provide technical support and share knowledge across the team.
• Bring innovation into practice: 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.

WE ARE LOOKING FOR

• 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.

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.