Data Engineer

Dexian Europe; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Job summary

Dexian Europe is seeking a data engineer to design and optimize data pipelines, models and governance across cloud platforms. The role emphasizes strong engineering fundamentals, hands-on experience with BigQuery and Databricks/PySpark, and a proactive, uncertainty-tolerant mindset.

You will collaborate with data leads and software engineers to deliver reliable data products. The candidate should translate business requirements into robust data solutions, implement data quality checks, and

Qualifications

• Experience building data pipelines with dbt and Python.
• Hands-on with BigQuery and Databricks/PySpark (both preferred).
• Ability to improve processes using AI-driven approaches.

Skills

Data engineering

dbt

Python

Cloud platforms

CI/CD

IaC

Containerisation

BigQuery

Databricks

PySpark

Data visualisation

Data Studio

PowerBI

Data quality

Data governance

Tools

Data Studio

PowerBI

Job description

• Strong data engineering fundamentals, incl but not limited to writing pipelines in dbt and Python and production-grade code on cloud platforms (GCP preferred), CI/CD, IaC, containerisation
• Hands-on experience with BigQuery and Databricks/PySpark (at least one is required, but preference will be given to those with both)
• Ability to review and improve processes by introducing new ways of e.g. coding, reviewing, testing through smart (not sloppy!) use of AI
• Basics in data visualisation (ideally Data Studio, PowerBI would be a big plus)
• Experience with data quality frameworks: defining rules, writing tests, investigating failures
• Knowledge of data structures: data models, databases, data warehousing, and how data flows across systems
• Experience with customer data in general (profile data, events such as purchases and interactions) is a strong plus
• Experience with classifications and unified profile data products is a strong plus
• Knowledge of data governance frameworks, metadata management, and data cataloguing best practices is a plus
• Communication and Interpersonal Skills
• Perseverance and proactive coping with uncertainty: we still have a lot to figure out and need someone excited about that rather than overwhelmed
• Collaboration: strong communication skills to work with Country Data Management Leads, Product Owners, Data Engineers, and Software Engineers
• Constructive problem-solving: ability to assess data issues, identify owners, and drive resolution through stakeholder collaboration
• Ability to translate business requirements into data products, data quality rules, and governance standards

What 3 things from the box above are most important?

• Strong data engineering fundamentals, incl but not limited to writing pipelines in dbt and Python and production-grade code on cloud platforms (GCP preferred), CI/CD, IaC, containerisation
• Hands-on experience with BigQuery and Databricks/PySpark (at least one is required, but preference will be given to those with both)
• Perseverance and proactive coping with uncertainty: we still have a lot to figure out and need someone excited about that rather than overwhelmed.