Senior Data Engineer

Jobgether
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Amazon Web Services (AWS)
Google BigQuery
Cloud Computing
Information Engineering
Data Infrastructure
Data Transformation
Data Warehousing
Python
Operational Databases
DataOps
SQL Databases
Data Streaming
Snowflake
Technical Debt
Backend
Data Analytics
Code Restructuring
Databricks

Job description

  • Own and continuously enhance the company's data platform, including data 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 gained 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 offsites 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.

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