Data Engineer
At a glance
Mid-level Data Engineering role at Óscala. Remote, Spain · full-time.
Pay not stated Data Engineer salary
remoteroles summary, based on the employer's posting.
What you'll do
- Build and look after ELT pipelines and transformation models, keeping data moving reliably
- Tune Snowflake performance and maintain dbt models with current supporting documentation
- Investigate pipeline failures, Airbyte connector problems, schema changes and ingestion issues
- Prepare Tableau reporting datasets and support Finance and commercial analysis of revenue, P&L and margins
- Work with Finance, Commercial, Product and Operations to improve data quality, metrics, governance and observability
What you bring
- You have at least three years working as a data engineer
- You bring hands-on skill with Snowflake, dbt, SQL, Python, ELT or ingestion tools, and cloud infrastructure
Who this fits
This role suits a mid-level data engineer comfortable supporting data pipelines, warehouse performance and finance reporting. It is full-time and fully remote.
From the employer
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:
● Develop and maintain robust ELT pipelines and transformation models.
● Support and optimise our Snowflake data warehouse performance.
● Build and maintain dbt models, ensuring associated documentation is current.
● Monitor and troubleshoot failures across data pipelines, Airbyte connectors, schema changes, and ingestion issues.
● Support critical Tableau reporting datasets and meet downstream reporting requirements.
● Drive improvements in reliability, governance, and observability across the entire data platform.
● Support Finance and commercial reporting needs, including revenue recognition, P&L, and margin analysis.
● Work closely with stakeholders across Finance, Commercial, Product, and Operations.
● Contribute actively to initiatives focused on data quality, metric consistency, and documentation.
Benefits & Perks:
● Full-time permanent role, based remotely
● Competitive salary (40-50K)
● Fast-growing international company
● Work with top talent across the globe
● Direct influence on product features and user experience
● Ownership, autonomy, and professional growth
What we’re looking for:
● 3–5+ years of experience as a Data Engineer
Strong hands-on experience with:
● Snowflake
● dbt
● SQL
● Python
● ELT / ingestion tooling
● Cloud infrastructure (AWS preferred) Highly Desirable
● Airbyte
● S3
● Git-based workflows and CI/CD concepts
● Tableau or equivalent BI tooling
● Revenue or finance reporting datasets