About this role
Salary: £48,000 - 88,000 per year
Requirements: Strong SQL skills and experience working in BigQuery or an equivalent data warehouse, including writing validation queriesWorking proficiency in Python or another mainstream programming language for data checks, automation, and pipeline debuggingPractical experience building with AI or LLM tools, such as automating workflows or building internal agentsExperience owning at least one platform migration or major data integration projectAbility to design data architecture and schemas, resolve identities, and reconcile conflicting data across systemsAbility to translate business objectives into structured delivery plans, requirements, and documentationClear, confident communication skills and the ability to work across teams with different priorities and levels of technical understandingExperience managing multiple initiatives in parallel, including external vendors and delivery partnersHands-on understanding of marketing technology, measurement, and data, with the ability to work through ambiguity and turn broad goals into practical technical plans Responsibilities: We need our MarTech Lead to own the SFMC-to-Braze migration plan, sequencing, and cutover strategyWe expect the role to validate data and customer journey parity between SFMC and Braze, reconciling records, logic, and event data at the SQL and pipeline levelThe role will identify and resolve migration-related data issues, including mapping errors, duplicate or missing events, and broken triggersWe expect the role to own technical coordination with Client Tech and Data Architecture on migration uptime, data integrity, and rollback planningThe role will define the architecture for a single source of truth, including schema design, identity resolution across tools, update cadence, and conflict ownershipWe need the role to manage third-party tool integrations and specify how data contracts and data from different tools are integrated, deduplicated, and reconciledThe role will align the source of truth with our existing BigQuery and attribution setup, and build validation and monitoring to flag drift or breakageWe expect the role to diagnose and resolve data quality issues, integration failures, and broken field mappings directlyThe role will write and maintain SQL and Python for data validation, QA scripts, and customer journey debuggingWe need the role to use AI tools and automation to speed up recurring MarTech work, including QA checks, documentation, campaign audits, migration validation, and training materialsThe role will manage vendor relationships Technologies: AIBigQueryData WarehouseLLMMarketingPythonSQLCloudSupportSalesforce More:
We are IG, a FTSE 100 fintech operating across five continents, serving more than 700,000 clients and handling billions in transactions. Our MarTech team is evolving its technology roadmap across customer engagement, data infrastructure, performance marketing measurement, and AI enablement. This is a full-time role based in the City of London, United Kingdom, with a hybrid model requiring three office days each week. We offer a competitive salary, a flexible benefits package worth 12% of salary, private medical cover, life insurance, gym membership contributions, 25 days of annual leave plus three additional days, the option to buy or sell holiday days, onboarding, enhanced parental benefits, and opportunities to join networks, committees, clubs, mentorships, and volunteering activities. We value diverse perspectives and encourage applications from people with varied backgrounds and experiences.
last updated 40 week of 2026