What are the responsibilities and job description for the Senior Data Engineer / Databricks / Remote position at Motion Recruitment?
A rapidly growing analytics consulting firm is seeking an Analytics Migration Engineer for a remote, 4-month contract engagement (ASAP start through mid-November). This role focuses on migrating legacy analytical environments into Google Cloud Platform, with a heavy emphasis on BigQuery, while supporting modern data pipelines, reporting, and automation initiatives.
This opportunity is ideal for someone who thrives in fast-paced, high-impact projects. The team is tackling a major cloud transformation, and this role sits at the center of ensuring business-critical analytics continue running smoothly during migration. Candidates will gain exposure to large-scale data ecosystems, modern cloud tooling, and advanced automation techniques while working alongside experienced data engineers and analytics professionals.
Required Skills & Experience
Tech Breakdown
Posted By: Charles Deuter
This opportunity is ideal for someone who thrives in fast-paced, high-impact projects. The team is tackling a major cloud transformation, and this role sits at the center of ensuring business-critical analytics continue running smoothly during migration. Candidates will gain exposure to large-scale data ecosystems, modern cloud tooling, and advanced automation techniques while working alongside experienced data engineers and analytics professionals.
Required Skills & Experience
- Strong experience with Google Cloud Platform, especially BigQuery
- Experience migrating legacy analytics environments (on-prem, cloud)
- Proficiency in SQL, Python, and/or SAS
- Hands-on experience with Excel automation (VBA, macros, or advanced formulas)
- Experience validating data outputs and ensuring data accuracy
- Strong understanding of ETL processes and data pipelines
- Experience with SAS migrations into cloud environments
- Familiarity with orchestration tools like Airflow or Cloud Composer
- Experience validating or deploying machine learning models
- Background supporting enterprise-scale analytics environments
- Strong documentation and process improvement mindset
Tech Breakdown
- 60% GCP / BigQuery
- 20% Data validation & testing
- 20% Excel automation & reporting
- 80% Hands On
- 20% Team Collaboration
- Competitive Hourly Rate
- Medical, Dental, and Vision Insurance
Posted By: Charles Deuter