Magnet.me  -  Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Data Engineer

Geplaatst 14 okt. 2025
Delen:
Werkervaring
5 tot 20 jaar
Full-time / part-time
Full-time
Functie
Opleidingsniveau
Taalvereiste
Engels (Vloeiend)

Bouw aan je carrière op Magnet.me

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Join Our Team as a Data Engineer

Company Description

We are in Business for People, empowering people in service organizations with innovative Enterprise and Business software solutions. We’ve innovated and taken a new approach to delivering ERP that works for people. Self-driving, adaptive and intuitive software that is changing the way people work. Our solutions empower people and deliver a better people experience so people can spend time on meaningful high value work they live for.

Your role

We’re looking for a Data Engineer to join our AI research team. You’ll help build the data foundation that powers intelligent agents and real-time enterprise systems. This is a hands-on role where you’ll work with cutting-edge technologies in data architecture, semantic modeling, and AI integration.

What you’ll do

  • Design scalable data platforms using Databricks, Delta Lake, and Spark
  • Build real-time data pipelines with Kafka, Flink, or Spark Streaming
  • Develop semantic models and knowledge graphs to support AI agents
  • Enable AI systems to interact with ERP data through APIs and semantic layers
  • Collaborate with AI engineers, architects, and product teams
  • Ensure data quality, governance, and compliance (e.g., GDPR)
  • Contribute to infrastructure using Azure, AWS, or GCP

What you bring

  • 5+ years of experience in data architecture and engineering (Delta Lake, Databricks, Spark SQL)
  • Strong skills in Python, SQL, and optionally Scala or Java
  • Experience with cloud platforms and tools like Terraform, Airflow, Docker
  • Proficiency in semantic & metadata modeling, including ontology engineering, metadata management, and knowledge graph construction
  • Experience with real-time data processing (Apache Kafka, Flink, Spark Streaming)
  • Familiarity with AI/ML integration and semantic modeling
  • A collaborative mindset and eagerness to learn and innovate

Nice to have

  • Knowledge of ERP systems or enterprise automation
  • Experience with AI agent frameworks and protocols (e.g., MCP, A2A)
  • Passion for responsible AI and data ethics

Join Unit4 and be part of one of the most exciting journeys in the cloud ERP software space. We’re a fast-paced, high-growth, people-centric company, delivering enterprise software for a great people experience, and offering our own people a host of benefits and development opportunities. Grow with us at Unit4, we offer:

  • a culture built on trust - giving you the freedom and autonomy to be successful
  • balance - with our uncapped time off policy, remote working opportunities and Global Wellbeing Days when the whole company can switch off and prioritize well-being
  • talented colleagues, role models and mentors - work, learn and be inspired by some of the best talent in the software industry
  • a commitment to sustainability - with initiatives such as our Act4Good program, a way for everyone at Unit4 to come together and engage in actions that benefit society and the planet
  • a safe and inclusive working environment – supported by our Employee Resource Groups, which are open to all and include Women at Unit4, Pride at Unit4, Mental Health and Access at Unit4, and People of Color at Unit4

Bij Unit4 hebben wij één kernwaarde, de mens op #1!
Unit4 is een internationaal toonaangevende en innoverende organisatie met een focus op dienstverlenende organisaties. Wij hebben een unieke visie op gebruiksvriendelijkheid en hebben een ‘’By people – for people’’ mentaliteit.
Bij Unit4 streven we naar constante groei voor onze doelgroepen en hebben wij altijd een luisterend oor richting onze partners.
Dit doen wij met de award-winning gebruiksvriendelijkheid die door Unit4 ontwikkeld is!

ICT
Sliedrecht
Actief in 20 landen
3.000 medewerkers
60% mannen - 40% vrouwen
Gemiddeld 35 jaar oud