Data Engineer / Analytics Migration / BigQuery
Summary: The role of Analytics Migration Engineer involves supporting a large-scale cloud transformation initiative by migrating legacy analytical environments to Google Cloud Platform, particularly focusing on BigQuery. This position requires a blend of hands-on engineering and analytics quality assurance in a collaborative setting. Ideal candidates will enjoy tackling complex data challenges and will gain experience in cloud migration strategies and performance optimization. The contract is for a duration of over four months.
Key Responsibilities:
- Migrate legacy analytical environments into Google Cloud Platform, emphasizing BigQuery and data validation.
- Engage in hands-on engineering and analytics quality assurance.
- Collaborate with technical and business teams to solve complex data challenges.
- Participate in cloud migration strategy and performance optimization.
- Build scalable, production-ready data workflows.
Key Skills:
- BS or MS in Engineering or Analytics field.
- Hands-on Google Cloud Platform experience.
- Strong experience with BigQuery.
- Experience with SAS, SQL, and Python in analytics environments.
- Strong collaboration skills across technical and business teams.
- Experience migrating SAS and Excel environments to cloud platforms.
- Exposure to Vertex AI or other ML deployment tools.
- Familiarity with Airflow or Cloud Composer.
- Experience with automated testing frameworks for analytics.
- Background optimizing queries and workflows for performance at scale.
Salary (Rate): £48
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
A remote marketing and data analytics firm is hiring an Analytics Migration Engineer to support a large-scale cloud transformation initiative on a contract-to-hire basis. This role focuses on migrating legacy analytical environments into Google Cloud Platform, with a strong emphasis on BigQuery, data validation, and modern analytics tooling. The position blends hands-on engineering with analytics quality assurance in a highly collaborative environment.
This opportunity is ideal for someone who enjoys solving complex data challenges while working at the intersection of analytics, engineering, and cloud modernization. The team is leading a high-impact initiative to future-proof analytics infrastructure, offering exposure to cutting-edge cloud tools, and large-scale datasets. Candidates will gain valuable experience in cloud migration strategy, performance optimization, and building scalable, production-ready data workflows.
Contract Duration: 4+ Months
Required Skills & Experience
- BS or MS in Engineering or Analytics field
- Hands-on Google Cloud Platform experience
- Strong experience with BigQuery
- Experience with SAS, SQL and Python in analytics environments
- Strong collaboration skills across technical and business teams
Desired Skills & Experience
- Experience migrating SAS and Excel environments to cloud platforms
- Exposure to Vertex AI or other ML deployment tools
- Familiarity with Airflow or Cloud Composer
- Experience with automated testing frameworks for analytics
- Background optimizing queries and workflows for performance at scale
What You Will Be Doing
Tech Breakdown
- 40% Google Cloud Platform (BigQuery, Composer, Vertex AI)
- 30% SAS / SQL /Python
- 20% Data validation, QA and testing
- 10% Excel automation and reporting
Daily Responsibilities
- 70% Hands On
- 30% Team Collaboration
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