
Principal Data Engineer
- AI
- Machine Learning
- GCP
- AWS
- BigQuery
- Composer
- Airflow
- Apache Kafka
- SQL
Job Title
Principal Data EngineerJob Description
So, who are we?Â
IG Group is a FTSE 100 fintechoperating across five continents, serving over 1.3m customers and handling billions of dollars in transactions – built on scale, trust, and proof. Wedidn’tpivot to innovation;it’s howwe’ve alwaysoperated. 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 scopethat’s rare in established businesses. The bar is high – bring a curious and forward-thinkingmindset andwe’ll give you the platform to define what comes next. Join us at IG – the future gets built here.Â
Your teamÂ
IG’s Data function is a central capability serving both central and divisional business lines across the entire IG estate. The Data Engineering teamis 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.Â
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.
Whatyou’ll doÂ
Own the technical architecture of IG’s GCP data platform end-to-end — Core Lake (BigQuery), batch and real-time (Kafka) ingestion, transformation in the Medallion architecture, and Data-Engineering-owned integration services — setting the reference designs and patterns squads build against.Â
Lead delivery of the most complex, high-risk work within the GCP consolidationprogramme, including migration off the legacy AWS platform and on-premises systems onto GCP-native capabilities.Â
Define the platform contracts, interfaces, and self-service patterns that let mature divisions build and own their own models safely against trusted Core Lakedata, and ensurefully-managed builds for less-mature functions follow the identical pattern so they are handover-ready by design.Â
Drive data quality as a first-class, firm-wide concern:establish data contracts, observability, SLA/SLO monitoring, and automated alerting and remediation across ingestion and transformationlayers, and hold squads to those standards.Â
Act as the senior technical point of contact for stakeholders across Compliance, Marketing, Finance, Data Science, and the self-serving divisions (UK, APAC,tastytrade/US, Quants, Risk), translating requirements into well-scoped, well-architected engineering deliverables.Â
Set and uphold engineering standards through code and design reviews, technical mentoring, and reusable frameworks that raise the bar across squads in London, India, and Poland — growing the technical capability of the whole function.Â
Provide technical direction and quality assurance for third-party staff augmentation, ensuring augmented capacity engaged for time-boxed projects works to IG’s patterns and leaves behind maintainable, standards-compliant assets.Â
- Maintain deliveryrigour: shape sprint cadences, escalate technical risk early, and report on pipeline SLOs, data freshness, and DORA-style engineering metrics to the Head of Data Engineering and CDO.Â
Whatyou’ll need for this roleÂ
Hands-on experience designing andoperating large-scale data pipelines on GCP (BigQuery, Cloud Composer/Airflow, GCS), with proven knowledge of Apache Kafka and real-time streaming architecturesÂ
Demonstrated experience leading or technically mentoring a team of data engineers, with the ability to set standards, conduct code and design reviews, and grow engineers’ capabilitiesÂ
Strong grasp of data quality practices: data contracts, pipeline observability, SLA/SLO definition, and automated alerting and remediationÂ
Solid understanding of SQL transformation patterns and modern tooling such asdbt, alongside experience managing ingestion estates with third-party connectors and in-house integrationsÂ
Clear and confident communicator able to work cross-functionally with non-technical stakeholders; comfortable in a regulated financial services environment with structured delivery disciplines (sprint cadences, change control, escalation)Â
How we workÂ
We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office – which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, betterlearning and career satisfaction:Â
Lead and Inspire: Drives trust, alignment, and enthusiasmÂ
Think Big: Focus on the problems that most impact commercial outcomesÂ
Champion the client: Understand andprioritise client’s needsÂ
Deliver at pace: Push for fast, sustainable growthÂ
Raise the bar: Take ownership, be accountable and share feedbackÂ
We believe that diversity is vital tosuccess, it fuels creativity, drivesinnovation and sets us up for global success.We’re committed to building teams with a variety of perspectives and skills to help usrealise our vision and strategy,that’s why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here.Â
The PerksÂ
Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees,sports and social clubs. Enjoy extra time off for volunteering and community work.Â
Learn more about the Perks here!Â
Join us for this exciting journey.Â
Number of openings
1Principal Data Engineer · IG Index Limited