Data Engineer

Russell Tobin; Utrecht; On-site; EUR 60,000 - 85,000; Full time

Job summary

Russell Tobin in Utrecht, Netherlands is seeking a Data Translator / Data Engineer to convert marketing needs into actionable data and technical logic. You will design data points and models, creating clean data flows for marketing systems and campaigns.

You will bridge marketing and data teams, determining required attributes and implementing the logic in systems, ensuring data quality and enabling effective targeting.

Qualifications

• 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.
• Understanding of marketing and the work of a marketer.
• Ability to translate functional questions into technical logic.
• Strong analytical and logical thinking skills.
• Good command of English.

Responsibilities

• Translate marketing questions into concrete data points and technical specifications.
• Build queries and data models using SQL, Databricks and DBT.
• Act as bridge between marketing and technical data specialists.
• Ensure data supports targeted, personalised customer offers.
• Coordinate needs and solutions with marketers and data professionals.
• Help the team improve data quality and data management.

Skills

Data modelling

Data engineering

Data quality

Stakeholder management

PySpark & Python

Education

Higher professional education

Tools

Databricks

DBT

PySpark

Job description

As a Data Translator / Data Engineer, 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 marketing systems. You use tools and technologies including SQL, Databricks and DBT.

Location: Utrecht, Netherlands

Type: Fixed Term Contract

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

• Data modelling and data engineering;
• Data quality and data management;
• Stakeholder management;
• PySpark and Python as additional technical skills.

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;
• 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.