Data Translator -Data Engineer

1UP Training; Utrecht; Ibrido; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

1UP Training (Netherlands) seeks a Data Translator / Data Engineer to turn marketing needs into smart data points. You bridge marketing and data teams, translate requirements into technical logic, and help deliver accurate data to marketing systems.

You will work with SQL, Databricks and DBT, build data models, ensure data quality, and collaborate with marketers and data professionals in a hybrid Utrecht setup with a Wednesday office day.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

SQL

Databricks

DBT

Data modelling

Python

PySpark

English

Stakeholder management

Formazione

Higher professional education

Strumenti

Databricks

DBT

SQL

Python

Descrizione del lavoro

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