Analytics Engineer

Job Title Analytics Engineer

Job Description So, who are we?

IG Group is a FTSE 100 fintech operating across five continents, serving over 1.4m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn't pivot to innovation; it's how we've always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that's rare in established businesses.

The bar is high – bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next.

Join us at IG – the future gets built here.

Your team:

You'll join IG's global Data & Analytics team, working closely with analysts across the business to understand what they need from the data and how they use it. The models you build underpin the team's reporting, analysis and self-serve tools, so your work has a direct impact on how analytics is delivered across IG. It's a collaborative team that values quality, shares knowledge openly and is always looking for better ways of working.

You'll have the space to shape our modelling standards and practices, and the support to grow your skills as the team and platform evolve.

Your role in the Team’s Success:

Our global Data & Analytics team turns data into decisions across Commercial, Marketing, Product and Operations. We sit close to the business and own the modelled data layer that our analysts, dashboards, and AI tools rely on. As our Analytics Engineer, you'll own that layer. You'll design, build and maintain the dbt models in Big Query that power Looker reporting and self-serve analysis — and make sure they're trusted, documented and built to scale.

You'll play a central role as we evolve our warehouse into a global setup that supports every region we operate in, so the work you do will shape how analytics runs across IG. This is a hands-on role with real ownership. You'll work day to day with analysts across the team, with Central Data and Engineering on upstream sources who depend on the data you ship.

What you’ll do:

Design and build robust batch and real-time data pipelines on GCP, including Kafka-based event streams, Big Query transformations, and Airflow-orchestrated workflows, as part of the GCP consolidation and Medallion architecture build-out Own data quality within your delivery area: define and implement data contracts, quality checks, and observability instrumentation so that pipeline health is visible and SLAs are met Develop and maintain in-house connectors and third-party native integrations that form part of IG’s ingestion estate, ensuring resilience, monitoring, and long-term maintainability Contribute to engineering standards and best practices across the squad — including code review, dbt modelling patterns, CI/CD pipeline hygiene, and change control for shared datasets Support feature engineering and model data pipelines for Data Science, and help lay the foundations for AI-ready data — including lineage, reproducibility, and freshness guarantees for ML workloads

What you’ll need:

Proven hands-on experience building and operating production-grade data pipelines on GCP — including Big Query, Cloud Composer/Airflow, GCS, and Cloud Run — with strong SQL and Python skills Solid experience with Apache Kafka or equivalent streaming technologies, including designing event-driven ingestion patterns and troubleshooting real-time data flows under operational conditions Familiarity with modern transformation tooling, particularly dbt, and an appreciation of Medallion (Bronze/Silver/Gold) architecture patterns and how they support self-service analytics A quality-first mindset: experience implementing data…