Data Engineer

Software Search; Netherlands; Hybrid; EUR 102,000 - 122,000; Full time

Job summary

Software Search is seeking a Data Engineer to join a talented team across client locations and internal projects. You will design data architectures for mobility, optimize energy data usage, and build real-time analytics for financial services partners.

The role emphasizes fast delivery in短 sprints and close collaboration with the business team. Ideal candidates bring a technical degree, 5+ years of experience, Dutch fluency, and strong Python/SQL skills, plus experience with Databricks,

Qualifications

• A completed higher professional or university degree in a technical field.
• Five+ years of relevant work experience.
• Fluent Dutch (spoken and written, C1).
• Proficiency in Python, Java, Scala, or Rust and SQL.
• Experience with data platforms and cloud technologies (AWS, Azure, GCP).
• Experience with ETL/ELT processes and big data tools.

Responsibilities

• Handle data processing and integration.
• Monitor progress with colleagues and partners.
• Advise clients on smarter data usage to improve business processes.

Skills

Dutch (C1)

Python

Java

SQL

Data problem solving

Communication

Education

Technical degree (higher professional or university)

Tools

Databricks

BigQuery

Snowflake

Synapse

Fabric

dbt

Terraform

GitHub Actions

Jenkins

Job description

Data Engineer

Salary: €10,000
Location: The Randstad
Type: Hybrid

What are you going to do?

Imagine joining a team full of talent and ambition. Together, you and the commercial team identify a challenging project that matches your preferences and expertise. Whether it involves designing a data architecture for a mobility platform, optimizing energy usage through smart data solutions, or building a real-time analytics solution for a financial services organization, every project offers the chance to take your skills to the next level.

We like to move quickly and work in short, efficient sprints, both at client locations and on internal consultancy projects. You will handle data processing and integration and work closely with colleagues and partners to monitor progress. Thanks to your experience and expertise, you will advise clients on how data can be used more intelligently and efficiently to improve business processes.

What are you bringing?

• A completed higher professional or university degree in a technical field
• At least five years of relevant work experience
• Fluent Dutch, both spoken and written (C1 level)
• Expertise in programming languages such as Python, Java, Scala, or Rust, as well as SQL
• Experience with data platforms and cloud technologies such as AWS, Azure, or Google Cloud
• Experience with ETL/ELT processes
• Expertise in big data solutions such as Databricks, BigQuery, Snowflake, Synapse, or Fabric
• Familiarity with data modeling techniques such as Kimball
• Experience with CI/CD or DevOps principles and tooling such as GitHub Actions or Jenkins
• Eagerness to learn and share knowledge with colleagues and clients
• The ability to advise and guide others in designing and implementing scalable data processes
• Excellent communication skills and the ability to make and honor clear agreements

It is a bonus if you are familiar with:

• Dashboard tools such as Power BI, Tableau, or Qlik
• Data workflow tools such as dbt
• Docker, Kubernetes, AWS Fargate, Azure Container Instances, or GCP Cloud Run
• Infrastructure-as-Code tooling such as Terraform or Bicep

You like this

Data processing
Working with data is second nature to you. Whether you are setting up your own data projects in your spare time or trying out new tools and techniques to use data more intelligently, you enjoy continuous learning and experimentation.

Problem solving
You have a passion for solving complex data problems. Analyzing large datasets and designing creative, efficient solutions for technical challenges gives you energy.

You don’t like this

Monotonous routines
You do not simply follow the beaten path. You enjoy trying new approaches and coming up with fresh ideas that make work smarter and more efficient for yourself, your team, and the client.

Poor data infrastructure
Poorly structured databases or outdated pipelines without clear documentation are frustrating to you. You quickly see where improvements are possible and take action thoroughly.