Data Scientist bij Rabobank Utrecht
Data Scientist / Data Engineer bij Rabobank Utrecht, detachering 36-40u/week, hybride in Utrecht, looptijd 10 maanden.
- Locatie
- Utrecht
- Werkvorm
- hybride
- Uren
- 36–40 uur per week
- Sluitingsdatum
Schijnopdrachtsignaal. Opvallend plaatsingspatroon; geen bewijs dat de opdracht niet bestaat.
De Publieke Partner plaatste deze aanvraag in 2 maanden 3 keer opnieuw, gemiddeld om de 21 dagen; bij 9 andere bronnen samen nog 6 keer opnieuw geplaatst.
Deze markering komt uit herhaalde plaatsingen of dezelfde rol op meerdere locaties tegelijk. Zo herkennen we plaatsingspatronen.
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Eisen
- At least 4 years of relevant work experience as a Data Scientist or Data Engineer
- Candidate has to be available throughout the entire duration
- Strong communication skills, a proactive working style and ability to collaborate professionally
- Professional proficiency in English
- Valid Passport or ID card
- Pre-employment screening
- Ability to solve problems and critically reflect on your own work
- Master’s degree in computer science, artificial intelligence, mathematics, information studies or a comparable STEM subject
- Experience with PySpark and data transformations in Python
- Candidate should be submitted exclusively to Magnit – Rabobank during exclusivity period of 4 business days
Wensen
- Experience in an IT environment
- Experience with Databricks and Microsoft Azure
- Knowledge of medallion architecture
Volledige omschrijving
Data Scientist / Data Engineer bij Rabobank Utrecht. Make large international data flows scalable and help detect money laundering and terrorist financing.
Your role: Develop and maintain the transaction monitoring data model for international data sources. Write, optimise and deliver production-ready code to process large data flows at scale. Build and contribute to a monorepository and onboard new regions to the data model. Coordinate with data producers across the organisation about data sources and data quality. Collaborate with developers who implement transaction monitoring logic to ensure reliable data.
Typical day: Start with team stand-up, work on development and optimisation tasks, participate in sprint planning and occasional brainstorming sessions. During your first year you will become familiar with the team’s way of working and the data model, aiming to jointly take ownership of the data model’s technical soundness.
Requirements: Must-haves: At least 4 years of relevant work experience as a Data Scientist or Data Engineer. Experience with PySpark and data transformations in Python. Professional proficiency in English (Dutch not required). Strong communication skills, a proactive working style and ability to collaborate professionally. Master’s degree in computer science, artificial intelligence, mathematics, information studies or a comparable STEM subject. Ability to solve problems and critically reflect on your own work.
Nice-to-haves: Experience in an IT environment. Experience with Databricks and Microsoft Azure. Knowledge of medallion architecture.
Tools & technologies: PySpark / Python, Databricks, Airflow, Microsoft Azure (advantage).
Working conditions: FTE 1.0, Working hours 36 or 40 hours per week, Hybrid: work from the office on Mondays and Thursdays; work from home on other days. Freelance (ZZP) not allowed. Language English mandatory.
Application: Submit your CV and a personal motivation in English.
Additional requirements: All submitted candidates must be in possession of a valid Passport or ID card, which must be taken along to the interview and at the start of the assignment. If the candidate is selected to start, a pre-employment screening will be executed. The candidate is only allowed to start after the pre-employment screening has been completed successfully. Candidate should be submitted exclusively to Magnit – Rabobank during the exclusivity period of 4 business days on one request.
The candidate has to be available throughout the entire duration of the assignment.
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