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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data architecture and engineering, with a strong focus on data governance, privacy, and quality standards. Proficient in SQL and Python for building and debugging data pipelines, while effectively translating business needs into technical designs.
Highest-signal resume keywords
Data Architecture ExperienceHands-On Data EngineeringSQL and Python ProficiencyData Governance FrameworksBig Data Platforms Knowledge
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 ArchitectureSQLPythonData EngineeringETL PatternsELT PatternsData GovernanceData Quality StandardsData ModellingData Migration
Soft Skills
Team CollaborationExcellent CommunicationHigh Standards for QualityAbility to Explain Design Trade-OffsAdaptability in Fast-Paced Environments
Tools & Technologies
Data WarehouseData LakehouseData PipelinesCustomer Identity SolutionsData Classification ToolsAccess Control SystemsAI Initiatives Preparation
Industry Keywords
PIIData PrivacyData RetentionData Access ControlsGovernance StakeholdersCustomer Data SolutionsLegacy Platform Consolidation
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Set design principles for the data platform
- Own the architecture of QiCore, the new data warehouse
- Act as design authority for builds landing in QiCore
- Establish approaches to customer identity, PII, consent, data classification, retention and access controls
- Work with security, privacy and governance stakeholders
- Lead migration of Rewards into the warehouse and single customer view
- Create a repeatable migration pattern for future acquisitions
- Define modelling, governance and data quality standards
- Review engineering work against standards before release
- Prototype pipelines and unblock engineers on design questions
- Lead a small team of data engineers
- Translate business needs into data designs with Technology, Analytics and commercial teams
- Prepare the platform for AI initiatives
Requirements
What you’ll need- Proven enterprise or data architecture experience, with a warehouse or lakehouse you designed running in production
- Hands-on data engineering experience; ability to write SQL and Python and build and debug pipelines
- Strong understanding of PII, data privacy, access control and governance
- Experience designing solutions for identifiable and anonymous/pseudonymous customer data
- Deep knowledge of big data platforms, ETL and ELT patterns, and data governance frameworks
- Experience consolidating acquired businesses or legacy platforms into a single data model
- High standards for quality and ability to explain design trade-offs to engineers and non-technical stakeholders
- Ability to work as part of a team
- Comfortable in a fast-paced environment
- Excellent written and verbal English skills
- No ego
- Must be able to commit to working three days in the London office: Tuesday, Wednesday and Thursday
- Must answer whether sponsorship will be required to work in the UK
Benefits
Comp & perks- Private Health Care (Bupa)
- 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