Data Engineer

Postaladdress
Spain
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Amazon Web Services BigQuery Cloud Computing Information Engineering Data Transformation Data Warehousing Python (Programming Language) Operational Databases DataOps SQL Databases Data Streaming Snowflake
+5 more
Technical Debt Backend Data Analytics Code Restructuring Databricks

Job description

  • Own and continuously enhance the company’s data platform, including warehouse architecture, modelling strategies, and transformation frameworks.
  • Design, build, and maintain scalable production data pipelines using modern cloud technologies and engineering best practices.
  • Refactor and improve critical data flows to reduce technical debt, strengthen system integrity, and increase platform reliability.
  • Collaborate closely with backend engineers to ensure data is generated, structured, and exposed correctly at the source.
  • Partner with product and engineering stakeholders to enable data-driven features, telemetry, instrumentation, and customer-focused outcomes.
  • Implement observability, testing, and monitoring processes to ensure robust and dependable data operations.
  • Contribute to backend initiatives where data engineering and product development intersect, acting as an embedded engineering partner rather than a standalone analytics function.

Requirements

  • Minimum of 5 years of experience in data engineering roles, ideally within B2B SaaS companies or product-led startup environments.
  • Strong proficiency in Python and SQL, with the ability to apply both languages to complex engineering and data challenges.
  • Proven experience building, deploying, and operating production data pipelines on AWS.
  • Hands-on expertise with modern data warehouse technologies such as Snowflake, BigQuery, Databricks, or Redshift.
  • Experience using DBT or similar data transformation frameworks.
  • Solid understanding of backend engineering principles, with the ability to review and contribute to application code when required.
  • Comfortable taking ownership of projects end-to-end within dynamic, fast-growing teams.
  • Strong communication, collaboration, and problem-solving skills, combined with a product-oriented mindset.

Benefits & conditions

  • Competitive salary package and equity participation opportunities.
  • 25 days of annual leave in addition to public holidays.
  • Pension contribution scheme.
  • Fully equipped home-office and hardware setup from day one.
  • Regular company off-sites and social events.
  • Flat organizational structure with transparent communication and direct access to leadership.
  • Inclusive and collaborative working culture that values diversity, innovation, and individual perspectives.

full_time

Organization Jobgether

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jobleads.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · WWC 2022

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · WWC 2024

1:19 min

The true role and evolution of data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

Videos

See all

Related articles

See all