Data Engineer building scalable data platforms using Databricks and Azure for Reconomy. Collaborating across teams to deliver high - quality data solutions.
About the role
- Marketing Data Engineer owning technical setup for marketing measurement and supporting data initiatives. Collaborating across multiple departments to ensure reliable tracking and conversion implementation.
Responsibilities
- Own end-to-end tracking for the funnel: application (where applicable), KYC started/submitted/approved, first deposit (FTD), first trade (FTT).
- Define and maintain a consistent event and parameter schema across markets including but not limited to UK, EEA, South Africa, Australia.
- Work with engineering to implement and maintain the website/app data layer and backend outcome events.
- Map CRM lifecycle states and backend outcomes to a measurable schema that is consistent and auditable.
- Build and maintain offline conversion pipelines from CRM and backend systems into paid platforms, including but not limited to: Google Ads offline conversion imports and Enhanced Conversions where relevant; paid social platforms (e.g., Meta, TikTok, X, Reddit), including server-side events APIs and any supported offline conversion imports; programmatic platforms (e.g., DV360), including floodlight/conversion setup and any supported offline conversion imports.
- Ensure conversion parity and stability across GA4, CRM, backend outcomes, and ad platforms.
- Implement, validate, and maintain; GA4 and GTM (client-side and server-side where applicable); Google Ads conversion setup, imports, and validation; Meta Pixel + Conversions API and validation; Other platforms as needed (TikTok, DV360, etc.); monitoring, QA, and troubleshooting.
- Set up ongoing health checks and alerting for critical events and pipelines (drops, delays, duplicates, mismatches).
- Investigate issues where GA4, CRM, backend systems, and platforms disagree, and fix or drive fixes to completion.
- Maintain clear incident notes and root-cause summaries so the same issue does not repeat.
- Own an event dictionary (names, definitions, parameters, owners) and a conversion map.
- Own UTM and tagging standards, and enforce them through templates and checks.
- Maintain change control for tracking and measurement changes: release checklist, QA steps, access control, and logging.
- Ensure measurement works correctly under consent requirements and agreed tracking rules.
- Work with the consent/CMP setup and keep documentation suitable for review.
- Support Data/BI by providing validation views and simple reconciliation checks between platform-reported conversions, site/app events, and CRM/backend outcomes.
- Where needed, ingest key platform data for QA and troubleshooting (spend/clicks/conversions), without turning the role into a pure BI function.
- Partner with Data on Amplitude rollout and instrumentation needs.
- Ensure event coverage supports analysis and testing, including experiment exposure and outcome events where required.
- Keep GA4 and Amplitude aligned where it matters.
- Work with Marketing to implement clean, auditable source logic and support fixes to known distortions (including partner/affiliate override behaviours where relevant).
Requirements
- Strong hands-on experience implementing and debugging GA4 + GTM.
- Proven experience with CRM lifecycle mapping and turning CRM/backend outcomes into measurable events.
- Proven experience building and maintaining offline conversion pipelines into Google Ads (offline imports, Enhanced Conversions where relevant).
- Proven experience implementing and maintaining Meta Pixel + Conversions API, including match keys and deduplication.
- Comfortable working with data layers and basic JavaScript, and partnering with engineers on backend events.
- Able to validate and reconcile data using SQL and warehouse tools (Redshift helpful).
- Exposure to Amplitude instrumentation and event taxonomy, and ability to align Amplitude events with marketing measurement and conversion mapping.
- Strong troubleshooting skills: can isolate issues fast and explain root cause clearly to technical and non-technical stakeholders.
- Preferred requirements
- Server-side tagging experience (or equivalent server-side event architecture).
- Familiarity with HubSpot at an admin/ops level.
- Experience instrumenting Amplitude or similar product analytics tools.
- Experience in regulated industries (financial services, gambling, etc.).
- Experience implementing data visualisation dashboards with a BI Tool, Metabase is what we use. (Tableau, PowerBI etc.)
Benefits
- Competitive salary, and discretionary annual bonus.
- Private healthcare.
- Life Insurance, Critical Illness & Income Protection cover.
- Active Lifestyle allowance.
- Annual leave above minimum entitlement.
- Up to 3 weeks allowance to work in any location.
- Fresh fruit weekly
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