Data Engineer
At a glance
Mid-level Data Engineering role at Óscala. Remote, Spain · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain ELT pipelines and transformation models, then keep Snowflake running efficiently
- Create dbt models and keep their supporting documentation up to date
- Investigate pipeline breakdowns, Airbyte connector faults, schema updates and ingestion problems
- Prepare dependable Tableau datasets for reporting, including Finance and commercial revenue, P&L and margin needs
- Improve data quality, consistency, governance and observability while working with Finance, Commercial, Product and Operations
What you bring
- You have at least three years of Data Engineering experience
- You bring practical experience with Snowflake, dbt, SQL, Python, ELT or ingestion tools, and cloud infrastructure
- AWS is the preferred cloud platform
Who this fits
This mid-level role suits a Data Engineer comfortable supporting warehouse pipelines and finance-facing reporting. It is a full-time, permanent position that is fully remote. You’ll work with one client and collaborate with teams in the Netherlands, Germany or Belgium.
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
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data EngineeringRemote
Find me workBy the team behind dataroles.