Ampstek
GCP Data Engineer
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About Us
AmpsTek – a global technology leader since 2013 – is transforming how businesses approach technology and staffing solutions. Founded by seasoned technology leaders across the UK, Europe, APAC, North America, and LATAM, and with registered offices in 30+ countries, we deliver exceptional service, scalable solutions, and measurable impact.
With a portfolio of 200+ clients and millions of users across web and mobile platforms, we empower businesses to innovate, grow, and succeed.
Join our team and be part of a dynamic, growth-oriented organization that values talent, creativity, and results.
About the Role
Job Title: GCP Data Engineer
Location: London UK Hybrid - 2 days onsite/week
Role Type: Inside IR35 Contract
Description
Multi-tenant Data Integration Platform (GCP / Airflow).
The platform uses Apache Airflow to orchestrate ETL pipelines and enables reliable movement of data from source systems through the platform into downstream vendor systems. You’ll guide the team in building high-quality ETLs, improving automation and deployment pipelines, and implementing end-to-end data lineage with clear, visual traceability of data movement.
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Key Responsibilities
Technical Leadership & Delivery
- Own the technical roadmap for the platform, aligning engineering outcomes to business priorities and operational resilience.
- Lead solution design for new integrations and platform capabilities, balancing pace with long-term maintainability.
- Set engineering standards (coding, testing, documentation, observability, security) and ensure consistent adoption across the team.
- Provide hands-on contribution where needed (critical ETLs, framework components, design spikes, performance fixes).
ETL Orchestration & Data Movement
- Design and develop robust ETL pipelines orchestrated in Apache Airflow, including scheduling strategies, dependency management, retries, backfills, and processing.
- Establish patterns for onboarding new source systems and delivering data to downstream vendor systems with strong reliability and traceability.
- Drive data quality controls (validation, reconciliation, exception handling) and operational runbooks.
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Platform Engineering (Multi-Tenancy & Scalability)
- Evolve the multi-tenant architecture: tenant isolation, configuration management, metadata-driven pipelines, and scalable runtime patterns.
- Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning and operational SLAs.
Automation, CI/CD and Release Engineering
- Improve build and deployment automation for both platform services and Airflow DAGs (versioning, packaging, promotions, approvals).
- Implement CI/CD best practices: automated testing, static analysis, security scanning, and controlled rollout/rollback strategies.
- Reduce manual toil by investing in self-service onboarding, templates, and engineering enablement tooling.
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