Job Title

Senior Data 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:



Compensation details will be shared by the recruiter during the first interview.



IG's Data function is a central capability serving both central and divisional business lines across the entire IG estate. The Data Engineering team is responsible for the platforms that underpin analytics, reporting, compliance, and client-facing data products, and that will increasingly power AI and machine-learning use cases across the firm.



The current data landscape reflects IG's growth: a combination of GCP-native capabilities, on-premises systems, and a legacy AWS data platform. The strategic direction - endorsed by the CDO and Executive - is clear: consolidate onto GCP, raise the bar on data quality, and enable self-service access to trusted data for teams across the business.




Your role in the Team's Success:



As a Senior Data Engineer, you will design, build, and operate the data pipelines and platform capabilities that power IG's analytics, compliance, and AI ambitions. Working within a squad led by the Data Engineering Team Lead, you will be a key technical contributor to IG's GCP consolidation programme - tackling complex ingestion, transformation, and reliability challenges with a high standard of craft. You will also play a meaningful role in raising the bar for the wider team: mentoring junior engineers, championing data quality, and helping to define how the squad builds and operates at scale.




What you'll do:

• Design and build robust batch and real-time data pipelines on GCP, including Kafka-based event streams, BigQuery 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 BigQuery, 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 contracts, lineage tracking, observability tooling, and pipeline SLO monitoring in a production environment


• Comfortable working in a regulated financial services environment, with an understanding of data governance requirements (lineage, access control, audit trails) and the discipline to operate within change control processes

The perks:

• Competitive salary & benefits plan


• Life Insurance


• MyBenefit Platform


• Medical Insurance with Medicover


• 1 additional day off to celebrate your Birthday


• 2 additional days off a year for voluntary work


• Share Plans for Employees


• Free lunch at the office (ones per week)


• Employee Assistance Program


• We work in hybrid working model

Number of openings

1