Data Engineer

Datacation

Amsterdam

Hybrid

EUR 45,000 - 67,000

Full time

7 hours ago

Be an early applicant

Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Learning budgets

25 vacation days

Annual ski trip

Team outings

On-site gym and padel court

Solid pension benefits

Job summary

Datacation is seeking a Data Engineer to take ownership of data pipelines and cloud projects in Amsterdam. You will design scalable architectures, work with a modern data stack, and collaborate closely with senior engineers and clients.

The role emphasizes production-grade pipelines (batch and streaming) in Azure, Docker-based CI/CD, and active knowledge sharing within a close-knit team.

Qualifications

2+ years proven experience in data engineering, cloud technologies and production-grade data pipelines.
Strong Python proficiency with PySpark, Pandas or NumPy.
Solid SQL skills and data modeling experience.
Experience with Azure data tools such as Databricks, Data Lake, Data Factory or Synapse.
Experience with CI/CD, Git, Docker and serverless technologies.
MSc or BSc in a relevant field.
Excellent command of Dutch (spoken and written).
Proactive mindset: identify opportunities, take initiative and make decisions.

Responsibilities

Translate business challenges into scalable, data-driven solutions.
Independently build, optimize, and maintain data pipelines (batch and streaming) in Azure.
Work with modern data stack: Azure Databricks, PySpark, Data Factory, Data Lake, and orchestration tools.
Design and implement Data Lake structures (bronze/silver/gold).
Apply containerization with Docker and set up CI/CD pipelines (GitHub Actions).
Communicate progress and decisions with clients; present results to stakeholders.
Share knowledge and collaborate with senior data engineers and consultants.
Present solutions and results to clients and attend events to grow network.

Skills

Python

PySpark

Pandas

NumPy

SQL

Dutch language

Proactive mindset

Education

MSc or BSc in a relevant field

Tools

Azure Databricks

Azure Data Lake

Azure Data Factory

Synapse

Docker

Git

GitHub Actions

Job description

Data Engineer

Full Time - Amsterdam

Job description

As a Data Engineer, you take an active role in challenging data and cloud projects. You don’t just focus on execution; you also contribute to the design of pipelines and architectures. Working closely with our senior engineers and consultants, you continue to develop yourself into a specialist. You are given the freedom to take ownership within projects. Your responsibilities include, among others:

Translating business challenges into scalable, data-driven solutions.
Independently building, optimizing, and maintaining data pipelines (batch and streaming), primarily in Azure.
Working with a modern data stack such as Azure Databricks, PySpark, Azure Data Factory, Azure Data Lake, and orchestration tools.
Designing and implementing Data Lake structures such as the medallion architecture (bronze/silver/gold).
Applying containerization with Docker and setting up or managing CI/CD pipelines (e.g., GitHub Actions).
Actively communicating with clients about project progress and technical decisions.
Sharing knowledge and collaborating with senior data engineers and data consultants.
Presenting your own solutions and results to clients.
Attending events to expand your network and deepen your knowledge.

What do we expect from you?

Proven experience (at least 2 years) in data engineering, cloud technologies, and bringing data pipelines into production.
Strong proficiency in Python and experience with libraries such as PySpark, Pandas, or NumPy.
Solid skills in SQL and data modeling.
Experience with cloud tooling (preferably Azure) such as Databricks, Data Lake, Azure Data Factory, or Synapse.
Experience with CI/CD, Git, Docker, and serverless technologies.
An MSc or BSc in a relevant field.
Excellent command of the Dutch language, both spoken and written.
A proactive mindset: you spot opportunities, take initiative, and are confident making decisions.

Pre

Experience working in a commercial environment or consultancy.
Experience with multiple cloud platforms (in addition to Azure, also AWS or GCP).
Knowledge of streaming frameworks such as Kafka, Event Hubs, or Spark Streaming.

What can you expect from us?

A monthly salary between €4,000 and €6,000, depending on your experience and skills.
Generous learning budgets to further deepen your expertise.
25 vacation days, an annual ski trip, and several team outings each year.
An environment where you work alongside experts and have room for your technical input.
Projects across a wide range of industries.
Collaboration within an enthusiastic, close-knit team of technical colleagues at our Amsterdam office.
Becoming part of a company with an energetic mindset.
Solid pension benefits.
On-site sports facilities: make use of the gym and the padel court in our building.

Curious about the
opportunities?

We are happy to think along with you about how you can get more out of your data.

Amsterdam

Wibautstraat 137
1097 DN

Eindhoven

High Tech Campus 5
P0.91 5656 AE

CoC

82577102

IBAN

NL25INGB0006939823

VAT

NL862525330B01