Data Scientist

Data Scientist / Data Engineer

Make large international data flows scalable and help detect money laundering and terrorist financing.

Your role

What you will do:

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

Eisen

Language: English mandatory

Good command of the English language is required, Dutch is not required

You work 36 or 40 hours per week

You work with the team at the office in Utrecht on Mondays and Thursdays

At least 4 years of relevant work experience

Experience as a Data Scientist or Data Engineer

Experience with Py

Spark

Professional proficiency in English

Master's degree in computer science, artificial intelligence, mathematics, information studies or a comparable STEM subject

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

Gunningscriteria

Professional proficiency in English is required

At least 4 years of relevant work experience is required

Experience as a Data Scientist or Data Engineer is required

Experience with Py

Spark is required

Master's degree in computer science, artificial intelligence, mathematics, information studies or a comparable STEM subject is required

Experience in an IT environment is a nice-to-have

Experience with Databricks is a nice-to-have

Experience with Microsoft Azure is a nice-to-have

Knowledge of medallion architecture is a nice-to-have

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