Data Engineer & Translator: SQL, Databricks & DBT

Us3 Ltd; Utrecht; On-site; EUR 55,000 - 85,000; Full time

Job summary

Us3 Ltd is seeking a Data Translator / Data Engineer in the Netherlands (Utrecht) to bridge marketing needs with technical data solutions. You will translate marketing requirements into data points, build data models with SQL, Databricks and DBT, and collaborate with marketing, analytics and engineering teams to enable targeted campaigns.

You will contribute to data quality and governance while applying a practical, business-driven approach to data engineering and user requirements.

Qualifications

• Minimum 3 years' relevant experience with SQL or a comparable programming language.
• Understanding of data modelling and data engineering principles.
• Understanding of marketing processes and how marketers use customer data.
• Ability to translate business and functional requirements into technical logic.
• Strong analytical, logical thinking and problem-solving skills.
• Confident stakeholder management and communication skills.
• Good command of English and an open, collaborative mindset.

Responsibilities

• Translate marketing requirements into technical specifications, data points and logic.
• Identify customer attributes and relationships needed to define target audiences.
• Develop queries and data models using SQL, Databricks and DBT.
• Collaborate with marketing stakeholders, data engineers, analysts and business professionals.
• Contribute to data quality, data management and continuous improvement.

Education

HBO

Tools

Databricks

DBT

Python

PySpark

Job description

Us3 Ltd is seeking a Data Translator / Data Engineer in the Netherlands (Utrecht) to bridge marketing needs with technical data solutions. You will translate marketing requirements into data points, build data models with SQL, Databricks and DBT, and collaborate with marketing, analytics and engineering teams to enable targeted campaigns.

You will contribute to data quality and governance while applying a practical, business-driven approach to data engineering and user requirements.