Technician

Smartedge Solutions; Utrecht; On-site; EUR 65,000 - 90,000; Full time

Job summary

Smartedge Solutions’ client is seeking a Data Translator / Data Engineer to join a multidisciplinary team in the Netherlands (Utrecht). You translate marketing needs into technical logic and build data points for marketing systems using SQL, Databricks and DBT.

You will bridge marketing and data teams, design data models, ensure data quality, and support personalised customer offers. Dutch and English fluent required; permanent role.

Qualifications

• 3+ years of relevant experience with SQL or comparable language.
• Experience with Databricks and DBT.
• Knowledge of data modelling and data engineering.
• Fluent in Dutch and English.
• Strong analytical and logical thinking.

Responsibilities

• Translate marketing needs into customer attributes, data points and technical logic.
• Build queries and data models using SQL, Databricks and DBT.
• Ensure marketing teams have the right data to create relevant and personalised offers.
• Bridge between marketing and technical data teams; translate needs into actionable data.
• Design data specifications and data pipelines; validate data quality and governance.
• Collaborate with marketers and data professionals to align on data requirements.

Skills

SQL

Databricks

DBT

PySpark

Python

Data modelling

Data engineering

Marketing technology

Analytical thinking

Dutch

English

Education

Higher professional education

Tools

Databricks

DBT

PySpark

Python

Job description

Smartedge’s Client is looking for an individual to help with theirData Translator / Data Engineer

Type : Permanent

Language Requirement: Dutch and English (Both Fluent)

Job Description :

• As a Data Translator / Data Engineer at 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 Client’s marketing systems. You use tools and technologies including SQL, Databricks and DBT.
• 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.
• 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.
• SQL;
• Databricks;
• DBT;
• Data modelling and data engineering;
• Data quality and data management;
• Marketing technology;
• PySpark and Python as additional technical skills.
• 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.

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