Data Engineer
IG Group is a FTSE 250 online trading platform (CFDs, forex, shares) that launched spot crypto trading in 2025 and acquired crypto exchange Independent Reserve in 2026.
Maintainer signals as of 8/14/2026
About IG
IG Group Holdings plc (LSEG: IGG) is a London-headquartered FTSE 250 online trading platform offering CFDs, forex, shares and ~19,000 markets. It launched spot crypto trading for UK retail in June 2025, obtained FCA cryptoasset registration in October 2025 (50+ coins by May 2026), and completed the acquisition of crypto exchange Independent Reserve on 30 January 2026.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and operate production-grade batch and real-time data pipelines on GCP. You will implement data quality controls and observability, maintain connectors and integrations, establish engineering standards, support feature engineering and machine-learning data pipelines, and promote reliable, governed data delivery.
Requirements
- Hands-on experience building and operating production-grade data pipelines on GCP
- BigQuery
- Cloud Composer or Airflow
- Google Cloud Storage
- Cloud Run
- SQL
- Python
- Apache Kafka or equivalent streaming technologies
- Event-driven ingestion patterns
- dbt
- Medallion architecture patterns
- Data contracts
- Data lineage
- Observability tooling
- Pipeline SLO monitoring
- Data governance in regulated financial services
- Access control
- Audit trails
- Change control
Responsibilities
- Design and build batch and real-time data pipelines on GCP
- Build Kafka-based event streams
- Create BigQuery transformations
- Orchestrate workflows with Airflow
- Define and implement data contracts and quality checks
- Instrument pipeline observability
- Maintain in-house connectors and third-party integrations
- Ensure ingestion resilience and monitoring
- Contribute to code reviews and engineering standards
- Develop dbt modelling patterns
- Maintain CI/CD pipeline hygiene
- Support change control for shared datasets
- Build feature engineering and model data pipelines
- Enable lineage, reproducibility, and freshness for machine-learning workloads
Benefits
- Hybrid working model with 3 days in the office
- Home office equipment reimbursement
- Performance-related bonus
- Private medical cover for the employee and family or partner
- Multikafeteria system with multisport cards and vouchers
- Life insurance
- Employee share plans
- Well-being events
- Employee Assistance Programme
- Summer picnic and New Year party
- Three additional days off annually for a birthday and voluntary work
- App-based parking spot booking
- Stretching sessions
