Data Translator -Data Engineer
- Plaats
- Utrecht, Utrecht
- Start
- 1 december 2026
- Looptijd
- 23 maanden
- Reageren tot
- 4 november 2026
- Werkplek
- Remote
- Opdrachtgever
- Rabobank
- Gezien bij de bron
- vandaag 18:15
Kies je bemiddelaar
Zoeqq
ZZP| Maximaal tarief | onbekend |
| Fee | onbekend |
| Reageren tot | open tot 4 nov |
| Transparantie |
Omschrijving
Data Translator / Data Engineer
Location: Utrecht
About the role
Would you like to translate marketing needs into smart data points that help communicate with customers in a more relevant and personalised way? As a Data Translator / Data Engineer, you bridge marketing and technical data specialists. You uncover the underlying need, identify the customer attributes required and translate them into technical logic for marketing systems.
What you’ll do
- Translate marketing needs into concrete data points and technical specifications.
- Analyse the customer attributes and relationships needed to define marketing target groups.
- Build queries and data models using SQL, Databricks and DBT.
- Develop logic that delivers accurate data to technical teams and marketing systems.
- Coordinate requirements and solutions with marketing, data and business professionals.
- Help improve data quality and data management.
What you’ll bring
- Higher professional education level of thinking and working.
- At least 3 years of relevant experience with SQL or a comparable programming language.
- Knowledge of data modelling and data engineering.
- Experience with Databricks and DBT, and the ability to write code.
- An understanding of marketing and marketers’ work.
- The ability to translate functional questions into technical logic.
- Strong analytical, logical-thinking and stakeholder-management skills.
- A good command of English and an open, collaborative attitude.
Additional skills
- Experience with marketing technology.
- Knowledge of data quality and data management.
- Experience with PySpark and Python.
- Command of Dutch.
- Knowledge of banking products and financial customer data.
- Eagerness to learn and openness to feedback.
How you’ll work
You’ll collaborate with marketers and data professionals to understand requirements, identify the data needed and create logic, queries and data points for marketing systems. The team works in a hybrid way, with Wednesday as its shared office day in Utrecht. On other days, you can work from home or from the office.