Posted Jul 13, 2026

Data Engineer

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Óscala is a Dutch/Spanish supplier of nearshore software engineering services. The company is HQ based in Haarlem (NL) and has a Software Development Center in the city center of Valencia.

Óscala works for a growing list of reputable clients in The Netherlands and surrounding countries. We offer our clients additional (remote) capacity so they can continue to build their state-of the-art software solutions, web applications, mobile apps and alike.

Each Óscala Software Developer works exclusively for one client and is an integral part of their Software Development team - working closely and on a daily basis together with Tech Leads, Architects and other colleagues of the IT team in The Netherlands (or Germany or Belgium).

For one of our clients we are currently looking for a:

Data Engineer - Full Remote

About our client

Their mission is to empower businesses to bring seamless, affordable connectivity to their customers, wherever they go. They take a new and disruptive approach to the traditional wholesale business model, combining best-in-class technology with Tier 1 Mobile Network Operators.

With their support, businesses around the world are unlocking the power of connectivity for their customers, and the significant growth they are experiencing today is a testament to their hard work and highly skilled team.

They leverage technology in everything they do, but it is their people who truly make the magic happen.

They move fast, and as the company continues to grow, new opportunities keep emerging.

If you're looking to accelerate your career in a fun, energetic, and forward-thinking company, get in touch.

DATA ENGINEER – FULL REMOTE

What You’ll Do:

Benefits & Perks:

● Competitive salary (40-50K)

● Fast-growing international company

● Work with top talent across the globe

Requirements

What we’re looking for:

Strong hands-on experience with:

● Snowflake

● dbt

● SQL

● Python

● ELT / ingestion tooling

● Airbyte

● S3

● Git-based workflows and CI/CD concepts

● Tableau or equivalent BI tooling

● Revenue or finance reporting datasets

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