Senior Data and AI Engineer

Miele Plant USA; Amsterdam; On-site; EUR 110,000 - 150,000; Full time

Job summary

Miele X in Amsterdam is seeking a Senior Data & AI Engineer to join a four-person team responsible for the data platform powering Miele's e-commerce domain. You will design and build scalable data solutions, integrate new data sources and shape architecture and engineering standards.

AI engineering is core: you will define the agent platform's architecture, develop AI agents, lead AI-native practices, mentor teammates, and collaborate with analysts and stakeholders to turn data and automation

Qualifications

• 5+ years in data or software engineering with ownership of complex technical solutions.
• Strong SQL and Python, able to design and review production-grade code.
• Knowledge of data warehousing and data modelling; scalable data structures.
• Experience delivering ELT pipelines and data integrations via APIs/external sources.
• Hands-on with coding AI agents and AI-assisted development; expand capabilities across data engineering.
• Ability to lead technical architecture and engineering standards; communicate pragmatic decisions.
• Experience collaborating with Analysts and business stakeholders to translate requirements into technical solutions.
• Willingness to mentor engineers and share knowledge across the team.
• Desire to advance in AI engineering and adopt emerging technologies into production.

Responsibilities

• Own and evolve our data platform: manage architecture, ELT pipelines, data models, and data integrations.
• Shape our AI and agent capabilities: steer the agent platform, build AI agents, promote AI-native practices.
• Build applications and automations: create business-relevant apps and define architectures for automation workflows.
• Turn business needs into solutions: collaborate with Analysts and stakeholders to translate needs into technical solutions.
• Drive engineering standards: set technical standards, lead architectural decisions, improve quality and maintainability.
• Lead and enable others: mentor junior team members, provide technical support and share knowledge.

Skills

SQL

Python

Data warehousing

Data modelling

ELT pipelines

APIs

AI agents

Architecture

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.