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Data Engineer

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Experienced Data Engineer bridging marketing needs and technical data solutions for a client in Utrecht, Netherlands. Translate functional marketing requirements into data points, logic, and technical specifications while coordinating with marketers and data professionals. Requires 6-8 years experience, SQL, data modelling, Databricks, and DBT, with strong stakeholder management skills.

Key Highlights
12-month contract with possibility of extension
Hybrid: 2 days WFH, 3 days in office in Utrecht
Bridge between marketing and technical data teams
Visa sponsorship provided for candidate and dependants
6-8 years experience required
Key Responsibilities
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
Technical Skills Required
SQL Databricks DBT
Benefits & Perks
20 days of holiday per year
Certification charges reimbursed
Income tax return filing
Visa sponsorship for candidate and dependants
Possibility of bonus
Nice to Have
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

Job Description

Contract: 12 months (subject to extension).

Location: Utrecht, Netherlands.

Salary: Not a constraint for the right candidate!

Experience: 6-8 years.

Hybrid: 2 days Work from Home 3 days Work from Office

Your Profile & DNA

We are looking for an experienced Data Engineer who 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.

Roles & Responsibilities

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