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Data Engineer – 12 Month Fixed-Term Contract
Financial Conduct Authority. Design and implement robust data flows connecting operational systems with analytics and business intelligence platforms .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing data flows, ETL processes, and data integration solutions while ensuring data quality and compliance with governance frameworks. Proficient in using Tableau Prep and programming languages such as SQL and Python to transform and analyze large datasets for business insights.
Highest-signal resume keywords
ETL ProcessesTableau PrepSQL ProgrammingPython ProgrammingData Modelling Principles
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 IntegrationData ProfilingData CleansingData WranglingData EngineeringData QualityData StreamingSource-to-Target MappingMetadata RepositoriesTesting Practices
Soft Skills
Communication Skills
Tools & Technologies
Tableau Prep
Industry Keywords
Business IntelligenceRegulatory InsightsData GovernanceAnalyticsData Standards
Tech Stack
Tools & technologiesETLPythonSQLTableau
About the role
Key responsibilities & impact- Design and implement robust data flows connecting operational systems with analytics and business intelligence platforms
- Create and maintain source-to-target mapping documentation aligned with enterprise data models, governance frameworks and data standards
- Transform manual and fragmented data processes into scalable, automated solutions
- Support real-time and near real-time data streaming solutions
- Develop, optimise and maintain ETL pipelines and code
- Prepare, cleanse and wrangle large and varied datasets for analytical models, reporting, advanced analytics and business insight
- Work within the FCA’s Digital Intelligence Solutions department to deliver regulatory insights and support data-driven decision making
Requirements
What you’ll need- Prior experience working in teams that design, develop, test and implement data solutions in complex environments
- Experience integrating data from multiple source systems
- Strong practical experience of Tableau Prep, including designing, building, testing, maintaining and troubleshooting complex Prep flows
- Experience integrating multiple data sources and applying joins, unions, transformations and calculations in Tableau Prep
- Extensive experience of ETL processes
- Strong programming and database skills, particularly SQL and Python
- Experience of data profiling and source system analysis
- Experience designing, building and testing data products and integration solutions using multiple systems, storage technologies and access methods
- Strong understanding of data modelling principles and experience producing, documenting, maintaining and updating data models
- Experience reverse engineering models from live systems where required
- Experience working with metadata repositories
- Knowledge and practical experience of data quality, problem resolution, testing practices, programming and scripting, and data engineering concepts and techniques
- Ability to communicate technical and data concepts clearly to technical and non-technical stakeholders
- Awareness of opportunities to improve and innovate data solutions through new tools, technologies and approaches
Benefits
Comp & perks- 25 days annual leave plus bank holidays
- Minimum of 50% of working time in the office each month
- Non-contributory pension (8–12% depending on age)
- Life assurance at eight times your salary
- Private healthcare with Bupa
- Income protection
- 24/7 Employee Assistance
- 35 hours of paid volunteering annually
- Flexible benefits scheme
- Flexible working solutions, including part-time and job sharing where applicable