Data Translator -Data Engineer in Utrecht

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. Eisen

The candidate must have a higher professional education level of thinking and working The candidate must have at least 3 years of relevant experience with SQL or comparable programming language The candidate must have knowledge of data modelling and data engineering The candidate must have experience with Databricks and DBTThe candidate must understand marketing and the work of a marketer The candidate must be able to translate functional questions into technical logic The candidate must have strong analytical and logical thinking skills The candidate must have strong stakeholder management skills The candidate must have a good command of English; English is mandatory The candidate must have an open and collaborative attitude Midlance constructions are not allowed under Rabobank policy The candidate must be available throughout the entire duration of the assignment The candidate must possess a valid passport or ID card and bring it to the interview and at the start of the assignment The candidate may start only after successfully completing the pre-employment screening The candidate must be submitted exclusively to Magnit - Rabobank during the four-business-day exclusivity period for one request Gunningscriteria

Experience with marketing technology is a nice-to-have Knowledge of data quality and data management is a nice-to-have Experience with Py Spark and Python is a nice-to-have Command of Dutch is a nice-to-have Knowledge of banking products and financial customer data is a nice-to-have

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