Data Engineer

Óscala; España; On-site; PHP 2,810,962 - 3,513,703; Full time

Benefits offered by this job

Competitive salary

Full-time permanent role

Ownership and autonomy

Professional growth opportunities

Work with global top talent

Job summary

Óscala is seeking a Data Engineer to join their team in a fully remote role. The successful candidate will develop and maintain data pipelines while optimizing performance in a collaborative environment.

This position offers a competitive salary between €40,000 and €50,000 and the opportunity to work with top talents globally, driving significant impact and professional growth.

Qualifications

• 3–5+ years of experience as a Data Engineer.
• Experience with Snowflake, dbt, SQL, and Python.
• Knowledge of ELT / ingestion tooling and cloud infrastructure.

Responsibilities

• Develop and maintain robust ELT pipelines and transformation models.
• Support and optimize Snowflake data warehouse performance.
• Monitor and troubleshoot failures across data pipelines.

Skills

Snowflake

dbt

SQL

Python

ELT / ingestion tooling

Cloud infrastructure (AWS preferred)

Airbyte

S3

Git-based workflows and CI/CD concepts

Tableau or equivalent BI tooling

Revenue or finance reporting datasets

Job description

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.

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
• Snowflake
• dbt
• SQL
• Python
• ELT / ingestion tooling
• Cloud infrastructure (AWS preferred)
• Airbyte
• S3
• Git‑based workflows and CI/CD concepts
• Tableau or equivalent BI tooling
• Revenue or finance reporting datasets