Data engineer for asset management

M&G; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Пенсионный план до 18%

Share Save и Share Incentive Plan

38 дней отпуска в год + до 5 дней куск

Job summary

M&G ищет ведущего инженера по данным для руководства созданием и доставкой data-продуктов на Snowflake-платформе. Вы будете вести архитектурные решения, сотрудничать с командами аналитики и AI, а также наставлять инженеров как внутри UK, так и в Индии, чтобы обеспечить качество и масштабируемость решений.

Ключевые задачи включают внедрение data mesh, безопасность по дизайну и эффективную эксплуатацию конвейеров, с акцентом на прозрачность и соответствие требованиям регуляторов в финансовом

Qualifications

• Значительный опыт в инжиниринге данных, включая роль технического лидера в сфере управления активами или финансовых услуг.
• Практический опыт построения и оптимизации конвейеров данных и продуктов на Snowflake.
• Знание архитектур medallion и lakehouse, ELT, размерностное моделирование данных.
• Опыт реализации end-to-end data products, включая семантический слой для аналитики/ИИ.
• Опыт внедрения каталогов данных, качества, родословной и наблюдаемости.
• Понимание облачной безопасности, управления доступом и требований конфиденциальности и регулирования.
• Умение сотрудничать с коллегами в данных и IT, разделять ответственность.
• Опыт руководства удаленными командами как единая команда.
• Опыт работы в data mesh или hub-and-spoke моделях.
• Опыт миграций платформ данных, включая сверку данных и retiring устаревших источников.
• Понимание инвестиционных данных (инструменты, портфели, позиции, показатели).
• Плюсом: Azure с опытом Databricks.

Responsibilities

• ВестиHands-on разработку и сборку ETL/ELT конвейеров на нашей Snowflake-ориентированной платформе.
• Применять medallion-архитектуру, продвигая данные от raw к curated к consumption-ready.
• Переводить требования бизнеса и дата-производителей в надежные технические дизайны и планы поставки.
• Строить повторяемые образцы ingest/transform/consumption для BI, API, data sharing и AI.
• Определять стандарты DataOps, CI/CD, тестирования и наблюдаемости.
• Вести ревью дизайна, кода и парное программирование.
• Наставлять инженеров и развивать их навыки; работать с офшорными командами как единая команда.
• Работать с Data Product, Analytics и AI командами для семантических моделей.
• Руководить миграциями с устаревших платформ и точечных потоков данных на стратегическую платформу.
• Снижать дублирование конвейеров, оптимизировать вычисления и хранение.

Skills

Data engineering

Snowflake

Technical leadership

Data pipelines

Medallion architecture

Data quality

Data governance

CI/CD

Security & compliance

Mentoring offshore teams

Tools

Snowflake

Azure

Databricks

Job description

Описание:

Data and AI are at the heart of how we plan to grow our Asset Management business. We are modernising how data is sourced, engineered and consumed across the firm. The goal is trusted, reusable data products that support investment decisions, client reporting, regulatory submissions and a growing range of AI use cases. As Lead Data Engineer, you will report to the Head of Data Engineering and be the technical lead for designing and building data products on our Snowflake-centric platform.

Задачи:

Lead the hands-on design and build of ingestion, transformation and data provisioning pipelines on our Snowflake-centric platform. Apply the medallion architecture in practice, promoting data from raw to curated to consumption-ready layers in line with agreed standards. Translate business and data product requirements into robust technical designs, data models and delivery plans. Build and evolve reusable ingestion, transformation and consumption patterns, whether for BI, APIs, data sharing or AI. Help shape data engineering standards for ELT, orchestration, data modelling, testing, DataOps, CI/CD and observability, working with the Head of Data Engineering. Build data quality checks, lineage, cataloguing and data observability into every pipeline and data product from the start, rather than adding them after delivery. Implement data contracts, metadata and certification standards so each data product is discoverable, trusted and auditable. Apply security and compliance by design, including role-based access control, secrets management, encryption, data classification, retention and privacy controls. Make sure pipelines are production-ready, with clear monitoring, alerting and runbooks, and lead root-cause analysis and resolution of data issues. Provide day-to-day technical leadership to data engineers across the UK and India, setting clear priorities and removing blockers. Lead design reviews, code reviews and pairing to raise engineering quality and consistency across the team. Coach and mentor engineers, helping them grow their technical skills and shift from building individual pipelines to delivering reusable data products. Work with offshore engineers as one integrated team, with shared standards, ways of working and ownership. Work with Data Product, Analytics and AI teams to implement semantic models, ensuring business definitions and relationships are consistently represented in the engineered data products. Use AI-assisted tools across the engineering lifecycle, from code generation and testing to documentation and data quality monitoring, with appropriate human oversight. Lead the technical delivery of migrations from legacy data platforms and point-to-point data feeds onto the strategic platform, with data reconciliation and controlled cut-over. Consolidate duplicated pipelines into reusable data products and actively reduce technical debt. Design efficient pipelines and optimise compute and storage so cost efficiency is built into delivery.

Требования:

Significant experience in data engineering, including experience as a technical lead within Asset Management or Financial Services. Strong hands-on experience building and optimising data pipelines and data products on Snowflake, ideally in an asset management setting. Solid knowledge of modern data platform architecture, including medallion and lakehouse patterns, ELT and dimensional or domain data modelling. Experience delivering data products end to end, including contributing to semantic layer implementation for analytics and AI use. Practical experience embedding data catalogue, data quality, lineage and data observability tooling into engineering delivery. Good understanding of cloud security, access management, data privacy and regulatory control requirements. Track record of collaborating and building effective relationships with colleagues across data and wider technology function. You should be able to share ownership, manage dependencies and agree joint priorities. Experience leading and mentoring offshore engineering teams as an integrated part of the function, through code reviews, coaching and technical direction and a one-team culture. Experience working in data mesh or hub-and-spoke data operating models. Experience delivering data platform migrations, including data reconciliation and the controlled retirement of legacy feeds while maintaining service continuity. Good understanding of investment data, such as instruments, portfolios, positions and performance, with deeper asset management experience a strong advantage. Будет плюсом: Azure, with Databricks exposure an advantage

Условия:

We will consider flexible working arrangements for any of our roles and offer workplace adjustments to ensure you have the support you need to succeed in your role. A valuable pension scheme of up to 18% (13% made up of employer contributions and 5% employee contributions). Access to our Share Save and Share Incentive Plan, alongside financial wellbeing and support services to help give you real confidence to put your money to work. Enjoy 38 days annual leave (including bank holidays), with the opportunity to purchase up to five extra days. Our Time Off When You Need It policy gives you the flexibility - to balance work and personal commitments. Our market-leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave - because supporting families is an important part of our inclusive culture. Health & Protection cover includes Private Healthcare, Critical Illness cover and Life Assurance for you, with additional family options - for peace of mind.