Senior Data Engineer

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 
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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