
Data Translator
Over de opdracht
Benodigde opleiding: HBO
For the client, we are looking for Data Engineer / Data Translator.
Important:
- We are looking for 1 FTE;
- We will close the vacancy before the indicated deadline when we received enough professionals;
- Please clearly indicate in the motivation field whether the candidate has any planned vacation or special leave during the duration of this assignment;
- Please provide in the CV whether an internal reference can be requested. If the candidate is currently working at, or has recently working at the client, we would appreciate receiving the name and job title of the relevant team lead;
- Language: English mandatory;
- ZZP Allowed: No;
- Start: as soon as possible.
Data Translator / Data Engineer | Data and Marketing Technology | Utrecht
Would you like to translate marketing needs into smart data points that help the client communicate with customers in a more relevant and personalised way?
Summary
As a Data Translator / Data Engineer at the client, 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 the client’s 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 the client 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.
Why everyone is welcome at the client
At the client, we are building a culture in which everyone feels welcome. We value our differences and use them to collaborate more effectively and make better decisions. By being open to different perspectives, we create an environment in which colleagues feel heard.
What do you bring?
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 team’s 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.
We would like to receive a motivation showing the required competencies.
Additional information:
- All departments are working hybrid, in terms of the client @anywhere policy;
- Due to the congestion at the parking lot the client location Croeselaan in Utrecht, a new parking policy will be introduced as of April 2026. From Monday through Thursday, external staff will no longer be able to park at the Croeselaan. Parking for external staff will remain permitted on Fridays only;
- Please note: midlance constructions are not allowed according to the client policy. Do not offer candidates via this construction. This will be investigated during the screening;
- Suppliers must be aware of the laws and regulations regarding employment conditions and the client’s Collective Labour Agreement. This assignment is placed in scale 9;
- We would like to receive the personal motivation of the candidate and CV in English;
- A candidate should be submitted exclusively to the intermediary – the client during the exclusivity period of 4 business days on one request;
- Furthermore, the candidate has to be available throughout the entire duration of the assignment;
- 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;
- Pre-employment screening: If the candidate is selected to start, a pre-employment screening will be executed. As of July 1 2026, a new PES regulation applies. The PES is outsourced to an external party. More information can be found in Annex A. Your candidate is only allowed to start after the pre-employment screening has been completed successfully;
This agreement can be requested in advance.
IMPORTANT!: Complete all candidate details correctly. Enter the candidate's contact details under 'email address and telephone number'! The same applies to the address. This is information the client needs to receive with the submission. Incomplete/incorrect submissions risk being rejected
Arbeidsvoorwaarden en begeleiding
- 36 uur per week
- Start: 1 dec 2026 · tot 30 nov 2027
- Persoonlijke begeleiding door Peak, van reactie tot start