Senior Data and AI Engineer

2200 Miele X (NL); Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Miele X is seeking a Senior Data & AI Engineer to join a four-person team supporting the data platform for Miele’s ecommerce domain. You will own ELT pipelines, data models and API data integrations, and shape the architecture of the agent platform.

AI engineering will be a core part of your role, leading the adoption of AI-native practices across data processes. The role emphasizes building AI agents, driving engineering standards, mentoring junior engineers and collaborating with analysts and

Qualifications

• 5+ years in data/software engineering or similar technical roles.
• Strong SQL and Python with production-grade code.
• Experience with data warehousing, modelling and ELT pipelines.
• Experience building API/data integrations and AI-assisted development.
• Ability to guide engineers and shape engineering standards.

Responsibilities

• Own and evolve the data platform, including ELT pipelines and data models.
• Shape the AI and agent capabilities, driving AI-native practices.
• Develop applications and define architecture for automation workflows.
• Translate business needs into practical technical solutions.
• Lead architectural decisions and improve code quality and maintainability.
• Mentor junior team members and share knowledge across the team.
• Stay updated on AI/engineering advances and apply them to the platform.

Skills

SQL

Python

Data warehousing

Data modelling

ELT pipelines

APIs integration

AI engineering

Agent platforms

Azure

Databricks

dbt

dltHub

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.

Miele culture

For more than 125 years, Miele has been a family‑owned, family‑run company. Based on this tradition, a healthy balance between the demands and the appreciation of our employees is very important to us. Besides following our objective of becoming “forever better” which our employees represent with their specialist knowledge, their ambition and with thinking ahead, we want to ensure that everyone can experience and profit from our good working environment here at Miele. Living and passing on our Miele values, as well as working in teams to further develop our innovative products, are important parts of our Miele culture at each of our 50 locations. What does it take for a family‑run company to become world market leader in the premium domestic appliance segment? It takes more than offering average products, run‑of‑the‑mill service or short‑sighted actions. It also requires the aspiration to do it forever better and to be forever better. This stance accounts for a good working environment at Miele and the success of our products. Our colleagues can rest assured that those who live up to our standards of quality and professionalism grow personally and professionally. No matter if they are apprentices or managers. Make our claim your challenge - whether in Gütersloh, Melbourne or Singapore! Become one of more than 23,000 Miele employees in 50 countries around the world who are committed to making our products even better every day - and help us to expand our innovation leadership.