Technical Lead - Data GCP

As a Senior Data Engineer, you will design, build, and evolve scalable data products, pipelines, and data architectures on Google Cloud Platform (GCP).

The role is strongly focused on GCP and requires hands-on experience building reliable data solutions that support analytics, reporting, machine learning, and business decision-making. You will also help establish engineering standards, improve data quality and governance, and work closely with technical and business stakeholders., 1) Data Engineering & Architecture

• Design and evolve scalable data architectures on GCP.
• Build and maintain reliable end-to-end data pipelines.
• Develop and optimize data solutions using BigQuery, Dataflow, Cloud Run, Composer, and GCS.
• Build reusable and well-structured data products for analytics and reporting.
• Translate business requirements into scalable technical solutions.
• Support integrations with enterprise platforms, APIs, SAP, and other data sources.

2) Data Transformation & Modeling

• Develop transformation workflows using SQL, Python, and dbt.
• Build and maintain reusable data models and semantic layers.
• Establish standards for modeling, testing, documentation, and deployment.
• Ensure datasets are analytics-ready and reusable across teams.

3) Data Quality, Governance & Reliability

• Implement data quality controls, validation, reconciliation, and automated testing.
• Ensure data remains accurate, secure, governed, and accessible.
• Monitor pipeline health, freshness, performance, and operational stability.
• Troubleshoot production issues and drive long-term improvements.
• Contribute to governance standards around access, naming, lineage, and lifecycle management.

4) Platform Ownership & Engineering Standards

• Contribute to infrastructure and deployment standards using Terraform, Docker, CI/CD, and Git.
• Support secure access management and appropriate data permissions.
• Promote engineering best practices around testing, code quality, documentation, and version control.
• Mentor colleagues and support knowledge sharing within the team.

5) Collaboration & Communication

• Work closely with Product Owners, Analysts, Data Scientists, Engineers, and business stakeholders.
• Translate business requirements into practical technical solutions.
• Communicate technical designs, risks, trade-offs, and progress clearly.
• Take end-to-end ownership from requirements through production support., Technical Lead - Data GCP

• Strong hands-on experience as a Data Engineer in production environments.
• Strong Google Cloud Platform (GCP) experience is mandatory.
• Strong experience with BigQuery.
• Strong SQL and Python skills.
• Experience building and operating scalable data pipelines.
• Experience with dbt or similar transformation frameworks.
• Understanding of data modeling and semantic layer concepts.
• Experience with data quality, governance, security, and monitoring.
• Experience with CI/CD and Git.
• Strong stakeholder communication and ownership.

Nice-to-Have

• Experience with Dataflow, Cloud Run, Composer / Airflow, and GCS.
• Terraform and Docker experience.
• Experience with SAP integrations.
• Experience supporting ML workflows or Data Science teams.
• Experience with semantic modeling.
• Experience with AI-enabled analytics.
• Retail or e-commerce experience.

About Gapstars At Gapstars, we partner with some of Europe’s most ambitious companies, from disruptive tech startups to established Benelux accounting firms, helping them build high-performing teams in engineering and finance.

Headquartered in the Netherlands, with talent hubs in Sri Lanka and Portugal, we are home to 300+ professionals who thrive on solving real-world challenges with modern solutions. Our teams work across domains, from networking, marketplaces, SaaS, and AI to embedded finance and accounting, delivering scalable solutions that drive meaningful outcomes.