Data Translator / Data Engineer | Data and Marketing Technology

Introduction

• 36 hours per wee
• Start date: asap
• End date: 28-10-2028
• ZZP is not allowed
• Hybrid way of work
• The relocation is not possible for this role

Job description

Would you like to translate marketing needs into smart data points that help Rabobank communicate with customers in a more relevant and personalised way?

Summary

As a Data Translator / Data Engineer at Rabobank, you work in a multidisciplinary team responsible for customer and campaign data. You translate functional marketing needs into technical logic and build data points for Rabobanks marketing systems. You use tools and technologies including SQL, Databricks and DBT.

At a glance

• Translate marketing questions into customer attributes, data points and technical logic.

• Build queries and data models using SQL, Databricks and DBT.

• Ensure that marketing teams have the right data to create relevant and personalised customer offers.

What will you do as a Data Translator / Data Engineer?

As a Data Translator / Data Engineer, you know the secrets of translating marketing needs into usable data and technical solutions.

You act as the bridge between marketing and technical data specialists. You uncover the underlying need, determine which customer attributes are required and translate these into logic that can be implemented in the systems.

• Translate functional marketing needs into concrete data points and technical specifications

• Analyse which customer attributes and relationships are needed to define a marketing target group

• Build logic and queries that deliver data correctly to technical teams and marketing systems

• Coordinate needs and solutions with marketers, data professionals and business professionals

• Help the team improve data quality and data management

For example, marketing may want to promote a specific product to a particular customer group. You determine which customer attributes are required, how they relate to each other and how the corresponding logic should be built into the systems.

Skills, tools and areas of expertise

• SQL

• Databricks

• DBT

• Data modelling and data engineering

• Data quality and data management

• Stakeholder management

• Marketing technology

• PySpark and Python as additional technical skills

Together, we achieve more than we could alone

We believe in the power of differences. By combining the differences between people, we become an even better bank. We are curious to discover what you will add to our team.

You will work in a multidisciplinary team of data engineers, data translators, data analysts and data scientists. The team is supported by a scrum master, product owner, business analyst and solution architect. Together, you deliver customer and campaign data across Rabobank and measure the performance of marketing activities. You work in an agile way on topics ranging from data pipelines and dashboards to models and data transfer controls.

Your main challenge is to make sure you fully understand what needs to happen and capture the logic correctly. Manager.

Requirements

Must-haves

• 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

• An understanding of marketing and the work of a marketer

• The ability to translate functional questions into technical logic

• Strong analytical and logical thinking skills

• Strong stakeholder management skills

• Good command of English

• An open and collaborative attitude

Nice-to-haves

• 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

• An eagerness to learn and openness to feedback

Frequently asked questions

Does this position match my level of experience?

This position is suitable for a professional with a higher professional education level of thinking and working and at least 3 years of relevant experience with SQL or a comparable programming language. You do not need to be an expert in every technical tool mentioned, but you should understand the fundamentals and be able to write code.

What will I do each day as a Data Translator / Data Engineer?

You discuss requirements with marketing stakeholders, explore the underlying need and determine which customer attributes and data are required. You then translate this information into technical logic, queries and data points for the marketing systems.

Which skills, tools and technologies will I use?

You will work with SQL, Databricks and DBT. PySpark and Python are also used within the team and are considered additional skills.

Can I work in a hybrid way?

Yes. The team works in a hybrid way. Wednesday is the teams shared office day at Croeselaan in Utrecht. On the other days, you can work from home or from the office.

Which team will I join and who will I work with?

You will join a multidisciplinary team of data engineers, data translators, data analysts and data scientists. You will also work with marketers, a scrum master, product owner, business analyst and solution architect.