Senior Data & AI Engineer: AI Agents & Data Platform Lead

Miele Tehnica Romania; Amsterdam; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

SQL

Python

Data warehousing

Data modelling

ELT pipelines

APIs integration

AI engineering

Agent platforms

Azure

Databricks

dbt

dltHub

Herramientas

Azure

Databricks

dbt

dltHub

Descripción del empleo

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