Analytics Engineer

As Analytics Engineer at IG Group, you will own the data model layer powering Looker reports and self-serve analytics, enabling data-driven decisions across teams. You will design, build and maintain dbt models in BigQuery and ensure data is trusted, well-documented and scalable. The role spans global data warehousing, collaborating with analysts and central teams to support analytics across regions. This is a hands-on, ownership-driven position with tangible impact on IG's analytics and AI-ready data foundations.

• competitive salary
• flexible benefits (12%)
• private medical cover
• life insurance
• gym memberships
• 25 days holiday plus birthday and volunteer days (28 in total) optional holiday buy/sell

• Design and build batch and real-time data pipelines on GCP (Kafka, BigQuery, Airflow) as part of the consolidation and Medallion architecture
• Own data quality within delivery area: data contracts, quality checks, observability, and SLA monitoring
• Develop and maintain in-house connectors and third-party integrations for IG's ingestion estate with resilience and maintainability
• Contribute to engineering standards: code reviews, dbt patterns, CI/CD hygiene, change control for shared datasets
• Support feature engineering and model data pipelines for Data Science; establish AI-ready data foundations (lineage, reproducibility, freshness for ML)

• Production-grade data pipelines on GCP (BigQuery, Cloud Composer/Airflow, GCS, Cloud Run); strong SQL and Python
• Experience with Apache Kafka or similar streaming tech; event-driven ingestion design and troubleshooting
• Familiarity with dbt and Medallion architecture patterns
• Data contracts, lineage tracking, observability tooling, and pipeline SLO monitoring in production
• Comfort working in a regulated financial services environment with data governance and change control

• collaborative
• quality-first mindset
• strong communication
• BigQuery
• Cloud Composer / Airflow
• GCS