Data Engineering Lead

London Stock Exchange

Greater London

On-site

GBP 70,000 - 90,000

Full time

14 days+

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Job summary

The London Stock Exchange is seeking a Senior Engineer to lead the Reporting & Data Analytics platform transformation to a cloud-native architecture. This role involves overseeing the technical direction, team leadership, and the design and implementation of robust data solutions.

Your experience should include data-centric solution development with SQL and Python, along with 15+ years in software engineering. You will work in a high-stakes regulatory environment, ensuring high availability and quality standards.

Qualifications

  • Deep expertise in data engineering and data-centric solutions.
  • 15+ years of hands-on software engineering experience with leadership roles.
  • Experience in regulated, high availability environments.

Responsibilities

  • Lead the reporting and data analytics transformation.
  • Ensure platform stability during and after cloud migration.
  • Act as a senior technical partner for governance bodies.

Skills

Data-centric solution development
SQL
PL/SQL
Python
Leadership
Data governance
Cloud architecture

Education

Degree in Computer Science or Software Engineering

Tools

Snowflake
Informatica PowerCenter
DataDog

Job description

Responsibilities
  • The Reporting & Data Analytics platform underpins regulatory reporting, risk visibility, member reporting and internal analytics across SwapClear and Listed Rates
  • Given the scale, criticality and regulatory scrutiny of this data, the platform is subject to exacting availability, accuracy, lineage and governance requirements
  • LCH has embarked on a strategic transformation of its Reporting & Data Analytics architecture, moving from legacy on‑premise Oracle / Informatica stacks to a cloud native, Snowflake based data platform
  • This solution will enable robust, performant reporting, self‑service analytics, and new data distribution patterns for our members and clients
  • Joining as a Senior Engineer, you will be accountable for setting the platform’s technical direction, delivering Reporting & Data Analytics features, and ensuring the ongoing stability of the platform during and beyond the transformation
  • You will be a technology leader with deep hands‑on data engineering experience, strong technical judgement, and the seniority to engage confidently with Group Architecture, Group Data Governance, and senior business partners
  • You will lead a team of engineers to deliver the reporting and data analytics transformation, with responsibility for technical standards and professional development
  • You will ensure the team designs and builds solutions in line with our Engineering Principles, taking a data‑driven approach, innovating with purpose, and acting as an owner
  • You will ensure the platform evolves beyond migration into a scalable, governed platform that supports our members and clients, and internal partners
  • Technology owner of the end‑to‑end data solutions for reporting and data analytics across SwapClear and Listed Rates
  • Lead the safe migration from legacy Oracle / Informatica platform to the target cloud architecture. Take accountability for successful legacy decommissioning, not just building the new platform
  • Lead the design, implementation and multi‑year phased delivery for SwapClear and Listed Rates
  • Define and drive evolution of the Strategic Cloud data platform, ensure it is fit for purpose for SwapClear and Listed Rates use cases
  • Ensure the E2E platform meets availability, performance, resilience and security expected of a “systemically important” clearing house
  • Assist Product Owners and Delivery Leads with delivery planning of business goals/outcomes
  • Act as a senior technical partner to Group Architecture Authority, Group Data Governance and Product and business partners
  • Partner with Quality engineering to ensure that all aspects of the software development lifecycle is delivered to high levels of quality and using modern testing standards, automation and cloud‑native practices
  • Build and maintain strong relationships with internal and external partners, using influence and trust to drive alignment, resolve challenges, and promote shared quality goals
Qualifications
  • Deep expertise in
  • Solid experience of data‑centric solution using SQL, PL/SQL and Python
  • Prior experience working with Informatica PowerCenter or similar solutions
  • Data warehouse modelling approaches
  • Immutable, incremental and versioned data architectures
  • Showed leadership of enterprise‑scale Snowflake (or similar) data platform implementations
  • Quality‑first approach
  • Enterprise scale data modelling
  • Practical and relevant AI experience in data engineering / migrations use cases
  • 15+ years of hands‑on software engineering experience, including at least 5+ years as a technical lead, with consistent track record of delivering high‑quality solutions
  • ELT data architectures, using dbt or similar
  • Strong engineering background with the ability to engage deeply in design and implementation
  • Seniority and credibility to influence group level architecture and governance bodies
  • Cloud data lake and data warehouse solutions
  • Passionate about metrics‑driven approach and leading with data
  • Data governance, lineage and control frameworks
  • Detail oriented problem solver, comfortable “diving‑deep”
  • Experience operating in regulated, high availability environments
  • Degree in Computer Science, Software Engineering or equivalent
  • Experience of large‑scale real‑time and batch process orchestration, optionally with third‑party orchestration engines
  • Knowledge and practical experience running technology both on prem and in cloud
  • Good understanding of cyber security standards and practices and follows secure‑by‑design principle
  • Experience of working with agile frameworks like Scrum, Kanban
  • Background working in financial industry
  • Experience of modern observability platforms e.g. DataDog
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