Data Engineer

That Recruitment Company; Amsterdam; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work days

Breakfast & lunch provided

Travel allowance

Pension

Company laptop

Autonomy

Job summary

That Recruitment Company partners with an international product company in digital entertainment to hire a Medior/Senior Data Engineer. You will own the data engineering domain, work independently within a supportive backend team, and shape the data strategy.

You\u2019ll build and maintain ETL pipelines using Airflow, design data models, and optimize storage and queries across SQL/NoSQL and OLAP, with Python/Scala, GCP, Docker, Kubernetes.

Qualifications

• 3–5 years of hands-on data engineering experience.
• Experience with large-scale data systems and distributed pipelines.
• Fluent in English and able to communicate across teams.
• Ability to own end-to-end data initiatives.

Responsibilities

• Design, build and maintain ETL workflows and data services.
• Own data quality across core datasets and pipelines.
• Improve data models, storage architecture and query performance.
• Maintain and extend distributed production systems.
• Collaborate with product and business stakeholders to shape the data roadmap.
• Support engineering and non-technical teams with data challenges.

Skills

Python

Scala

Data engineering

Distributed systems

English communication

Tools

Airflow

Kafka

ClickHouse

GCP

Docker

Kubernetes

SQL

NoSQL

OLAP

GitHub

CircleCI

ArgoCD

Ansible

Job description

Medior/Senior Data Engineer | Take ownership of your work

I’m working with an international product company operating within the digital entertainment space. They combine the energy and flexibility of a scale-up with an established international customer base.

They’re looking for a Medior/Senior Data Engineer who can take ownership of the company’s data engineering domain. You’ll be the only dedicated Data Engineer, working independently while being part of a social and supportive backend team.

What you’ll be doing

• Designing, building and maintaining ETL workflows, Airflow pipelines and data services
• Taking end-to-end ownership of data quality across core datasets and pipelines
• Improving data models, storage architecture and query performance
• Maintaining and extending distributed systems in production
• Identifying improvements and independently deciding what needs attention
• Supporting engineering and non-technical teams with data-related challenges
• Working with product and business stakeholders to prioritise the data roadmap
• Maintaining strong software and data engineering standards

The environment

• Python and Scala
• Airflow, Kafka and ClickHouse
• GCP, Docker and Kubernetes
• SQL, NoSQL and OLAP technologies
• GitHub, CircleCI, ArgoCD and Ansible
• Superset and other primarily open-source tools

Who would suit this role?

• You have 3–5 years of hands‑on Data Engineering experience
• You’ve worked with large-scale data systems and distributed pipelines
• You’re confident with Python and/or Scala
• You understand concepts such as replication, sharding, consistency, scaling and idempotency
• You can work independently and take full ownership without needing constant direction
• You’re communicative, social and comfortable working across different departments
• You can adapt when priorities change and enjoy solving problems as you go
• You’ve ideally worked in a startup, scale-up or similarly fast-moving product environment
• You’re fluent in English

What’s on offer?

• Hybrid working with three office days per week
• Two weeks of working abroad each year after your first seven months
• Fresh breakfast and lunch provided at the office
• Travel allowance, pension and company laptop
• Plenty of autonomy and direct influence over the future of the data platform

This would suit someone who likes having real ownership, but still wants friendly people around them to exchange ideas, solve problems and occasionally get a little too competitive during a team's game night.