FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining data pipelines, with a strong focus on SQL and Python for data engineering. Proficient in utilizing GCP tools and ensuring data quality and governance in a collaborative, fast-paced environment.
Highest-signal resume keywords
Data EngineeringSQL ProgrammingPython ProgrammingGCP ExperienceETL/ELT Pipeline Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingBatch ProcessingStreaming PipelinesData Quality MonitoringData GovernanceOrchestrationVersion ControlAnalytics ReportingCloud WarehouseBig Data Platforms
Soft Skills
Team CollaborationAdaptabilityCommunication SkillsProblem-SolvingAttention to Detail
Tools & Technologies
BigQueryPub/SubDataprocCloud Storage
Industry Keywords
Data Engineering StandardsData MigrationReporting ProcessesPipeline Health Monitoring
Tech Stack
Tools & technologiesBigQueryCloudETLGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Build, test and maintain batch and streaming pipelines into QiCore to agreed engineering standards
- Migrate Rewards data into the warehouse and single customer view while keeping reporting running
- Model data for analytics and reporting according to team architecture and governance principles
- Monitor pipeline health and data quality, fixing issues at the root
- Support future acquisitions and platform migrations by creating faster, repeatable processes
Requirements
What you’ll need- Several years of hands-on data engineering, writing production SQL and Python
- Experience building ETL or ELT pipelines on a modern cloud warehouse or big data platform
- Proven experience working with GCP and the Google ecosystem (BigQuery, Pub/Sub, Dataproc, Cloud Storage, etc.)
- Working knowledge of data governance, testing and data quality practices
- Comfortable with orchestration and version control, and with reviewing and being reviewed
- High standards for quality, with a can-do attitude when priorities shift
- You thrive when working as part of a team
- Comfortable in a fast-paced environment
- Excellent written and verbal English skills
- No ego
Benefits
Comp & perks- Private Health Care (Vitality)
- Hybrid Working (3 days in office)
- Travel Insurance
- Competitive Base Salary
- Company Bonus Scheme
- Paid for AI Subscription (Claude / ChatGPT / Gemini)
- Market-Leading Training Programme
- Recognition & Reward Scheme
- Annual Company Conference
- Regular Happy Hours & Team Lunches
- Free Coffee, Drinks & Snacks