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Analytics Engineer
Monzo Bank. Build robust pipelines and downstream data models from backend services, mostly in BigQuery .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Modelling, ETL processes, and SQL, with a strong focus on optimizing Data Warehousing practices and ensuring data quality. Capable of contributing to cross-functional projects in Growth and Finance while adhering to best practices.
Highest-signal resume keywords
Data ModellingETL ProjectsSQLData WarehousingLooker BI Optimization
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 ModellingETLSQLData WarehousingData Quality ImprovementBigQueryData TransformationMetadata ManagementLogical Data ModellingReporting Support
Soft Skills
Attention to DetailTeam CollaborationAdaptability
Tools & Technologies
BigQueryLooker BI
Industry Keywords
Data PipelineFinancial Use CasesRegulatory Use CasesData Warehouse Best PracticesSource-Data Payload Design
Tech Stack
Tools & technologiesBigQueryETLSQL
About the role
Key responsibilities & impact- Build robust pipelines and downstream data models from backend services, mostly in BigQuery
- Support internal reporting, machine learning, financial and regulatory use cases
- Optimise the Data Warehouse and identify opportunities to reduce complexity and cost
- Help define and manage Data Warehouse best practices, including source-data payload design, logical data modelling, implementation, metadata and testing standards
- Follow established team best practices and standards
- Investigate and improve data quality within the warehouse with colleagues from other disciplines
- Work as an individual contributor across Growth and Finance projects
- Optimise the Looker BI platform
- Load and transform data while maintaining high quality
Requirements
What you’ll need- Some experience and passion for Data Modelling, ETL projects and Big Data as an engineer, developer or analyst
- Confidence with SQL and data modelling
- Comfortable with general Data Warehousing concepts
- Strong attention to detail
- Ability to work in a growing team in new areas of growth
Benefits
Comp & perks- Incentive Awards tied to your performance
- Visa sponsorship
- Flexible working hours
- £1,000 learning budget each year for books, training courses and conferences
- Macbook provided to all employees
- Extra support for fully remote workers’ work-from-home setup
- Distributed working within the UK
- Ad hoc meetings in London
- Benefits package (full list linked in posting)