Engineering Lead - Insurance (Data & AI)

Alpha FMC

Alpha Financial Markets Consulting (Alpha) is a leading global consultancy to the financial services industry. We are a boutique management consulting firm that offers the world’s top industry players a competitive edge through our expertise and industry insight. Our team is of a uniquely high calibre and works across regulated financial markets, bringing deep expertise in insurance, alternative asset markets — including private equity, private credit, infrastructure and real estate — and other specialised financial sectors. This focus enables us to bring relevant, hands-on experience to our clients’ most important challenges.  We have our headquarters located the United Kingdom, as well as offices in major global financial centres across the United States, France, Netherlands, Luxembourg, Switzerland, and Asia. ABOUT THE ROLE Our senior data engineers are hands-on leaders of consultants and client teams, building data platforms for clients in regulated financial services – private equity, real estate, fund administration, and specialist insurance. You'll work directly with client stakeholders, from engineering leads to CTOs, delivering production pipelines on Databricks or Snowflake (strong experience in one is sufficient). This is a hands-on build role with client exposure. You'll write code, review architecture decisions, lead junior engineers and explain trade-offs to people who aren't engineers. WHAT YOU'LL DO * Lead and mentor junior engineers on your delivery workstream, reviewing their code and data model decisions * Build reliable ingestion pipelines that move client data from source systems into the platform efficiently and securely * Design data models – Data Vault 2.0, Kimball Dimensional etc. that survive audit and give the business one trusted version of the numbers * Build pipelines to agreed SLAs and own their reliability in production * Work with domain SMEs to translate business logic into pipeline logic that produces correct numbers * Bring LLM-based processing into pipelines where it fits, document parsing, entity extraction, unstructured data classification, alongside deterministic logic * Build AI-powered business solutions on the platform, agents, search, and applied use cases on Mosaic AI or Cortex, that solve a client problem with trusted data rather than demo a capability * Support pre-sales by sizing effort and cost for prospective engagements, contribute to delivery plans, and present technical approach to prospective clients WHAT YOU'LL BRING * 4+ years in data engineering, with at least 2 years on Databricks or Snowflake in production (one platform is sufficient) * Strong SQL and Python; comfort with PySpark or Snowpark * Strong experience with at least one cloud vendor, Azure, AWS, or GCP, including core services beyond the data platform itself (networking, IAM, storage) * Working knowledge of dimensional modelling (Kimball) and/or Data Vault 2.0 * Comfortable presenting technical decisions to non-technical stakeholders * Track record of setting engineering standards and reviewing others' code for quality, not just correctness * Comfortable leading or mentoring junior engineers on a delivery team, and taking ownership of technical decisions ADDITIONAL EXPERIENCE WE’D VALUE * Snowflake or Databricks certifications * Familiarity with private markets data (fund administration, private equity/real estate, secondaries) or London Market insurance * Experience with supporting tooling such as IaC; Transformation (dbt); DevOps; Data Quality; Data Modelling; Data Glossary/Governance; iPaaS/ELT, Orchestration * Some exposure to regulated environments – financial services, insurance, or similarly audited sectors – and awareness of relevant regulatory frameworks including FCA SYSC, DORA, and MiFID II WHAT THE ENGAGEMENT LOOKS LIKE You'll work closely with client teams, alongside their internal engineers and Alpha consultants in a regulated environment where change control, data lineage and documentation matter. You'll write code, typically tackling the most complex challenges, review code and data model decisions across the team, and take responsibility for a delivery workstream – planning it, running it, and leading the junior engineers working on it. WHAT WE OFFER * Competitive base salary  * Annual performance bonus tied to individual and company outcomes. * Comprehensive benefits package including private medical insurance, life assurance, and income protection. * Hybrid working model with flexible arrangements to support work-life balance. * Generous pension scheme with enhanced employer contributions. * Continuous learning budget and access to industry conferences, certifications, and training programmes. * 25 days annual leave plus bank holidays, with option to buy additional days. * Employee assistance programme and wellbeing support.

Alpha FMC

Alpha Financial Markets Consulting (Alpha) is a leading global consultancy to the financial services industry. We are a boutique management consulting firm that offers the world’s top industry players a competitive edge through our expertise and industry insight. Our team is of a uniquely high calibre and works across regulated financial markets, bringing deep expertise in insurance, alternative asset markets — including private equity, private credit, infrastructure and real estate — and other specialised financial sectors. This focus enables us to bring relevant, hands-on experience to our clients’ most important challenges.  We have our headquarters located the United Kingdom, as well as offices in major global financial centres across the United States, France, Netherlands, Luxembourg, Switzerland, and Asia. ABOUT THE ROLE We’re looking for a Data Engineer with 2+ years’ experience to join our growing data engineering capability. This role is focused on client delivery. You’ll work closely with client teams, alongside their internal engineers and Alpha consultants, to build and support modern data platforms in regulated financial services environments. The work is hands-on and delivery-focused: building pipelines, developing data models, and helping turn business requirements into trusted, production-ready data solutions. This is a strong opportunity for an engineer who wants more than just pipeline delivery. You’ll work directly with clients, solve real platform and data problems, and build experience across a range of delivery challenges in complex regulated environments. WHAT YOU'LL DO * Build reliable ingestion pipelines that move client data from source systems into the platform efficiently and securely * Develop data pipelines to agreed SLAs, with a focus on reliability in production * Work with domain SMEs and delivery teams to translate business logic into pipeline logic that produces accurate, trusted outputs Senior Data Engineer.docx * Design data models, including Data Vault 2.0 and Kimball dimensional models, that support auditability and trusted reporting * Support testing, monitoring, troubleshooting, and documentation across the delivery lifecycle * Contribute to engineering standards and delivery best practices as part of a wider team * Work with the team to implement LLM-based processing in pipelines where appropriate, alongside deterministic logic * Work on delivery teams building AI-enabled solutions on the platform, helping to apply trusted data to real client problems * Share learnings from delivery work and contribute to internal assets, tooling, and practices over time. WHAT YOU'LL BRING * 2+ years in data engineering, including production experience with Databricks or Snowflake (one platform is sufficient) * Strong SQL and Python; comfort with PySpark or Snowpark * Experience with at least one cloud vendor, Azure, AWS, or GCP, including familiarity with core services beyond the data platform itself (networking, IAM, storage) * Working knowledge of dimensional modelling (Kimball) and/or Data Vault 2.0 * Strong attention to quality, documentation, and delivery discipline ADDITIONAL EXPERIENCE WE’D VALUE * Snowflake or Databricks certifications * Familiarity with private markets data (fund administration, private equity/real estate, secondaries) or London Market insurance * Experience with some supporting tooling across areas such as infrastructure-as-code, transformation, DevOps, data quality, governance, or orchestration would be beneficial. * Exposure to regulated environments such as financial services, insurance, or similarly audited sectors would be beneficial. WHAT THE ENGAGEMENT LOOKS LIKE You'll work within client teams, alongside their internal engineers and Alpha consultants in a regulated environment where change control, data lineage and documentation matter. Expect a mix of independent build work and collaborative delivery, with regular touchpoints against a delivery plan. WHAT WE OFFER * Competitive base salary  * Annual performance bonus tied to individual and company outcomes. * Comprehensive benefits package including private medical insurance, life assurance, and income protection. * Hybrid working model with flexible arrangements to support work-life balance. * Generous pension scheme with enhanced employer contributions. * Continuous learning budget and access to industry conferences, certifications, and training programmes. * 25 days annual leave plus bank holidays, with option to buy additional days. * Employee assistance programme and wellbeing support.

Alpha FMC

Alpha Financial Markets Consulting (Alpha) is a leading global consultancy to the financial services industry. We are a boutique management consulting firm that offers the world’s top industry players a competitive edge through our expertise and industry insight. Our team is of a uniquely high calibre and works across regulated financial markets, bringing deep expertise in insurance, alternative asset markets — including private equity, private credit, infrastructure and real estate — and other specialised financial sectors. This focus enables us to bring relevant, hands-on experience to our clients’ most important challenges.  We have our headquarters located the United Kingdom, as well as offices in major global financial centres across the United States, France, Netherlands, Luxembourg, Switzerland, and Asia. ABOUT THE ROLE   We're looking for a Consultant to deliver data integration, migration, and general development work for our clients, primarily in the UK financial services and alternative assets sectors. You'll work hands-on across the delivery lifecycle — from scoping and design through to build, test, and deployment — with growing ownership of workstreams and increasing client-facing responsibility. KEY RESPONSIBILITIES * Design, build, and test data integration and migration pipelines, primarily on the Azure platform. * Contribute to solution design and technical documentation, translating client requirements into working deliverables. * Perform data mapping, transformation, validation, and reconciliation across source and target systems. * Develop and maintain application and integration code following good engineering practices (version control, code review, testing). * Support deployment and environment management, including Infrastructure as Code where applicable. * Troubleshoot and resolve data quality, performance, and pipeline issues. * Work directly with client stakeholders to gather requirements and demonstrate progress. * Support Senior Consultants and Managers on estimation, planning, and risk identification. ESSENTIAL SKILLS & EXPERIENCE * Typically 2–4 years' experience in data engineering, integration, or software development (adjust to your banding). * Strong hands-on experience with the Microsoft Azure data stack (e.g. Data Factory, Synapse, Azure SQL, Storage, Functions). * Proficiency in SQL and at least one general-purpose language (Python, C#, or similar). * Solid understanding of ETL/ELT patterns, data modelling, and data migration methodologies. * Experience with source control (Git) and CI/CD workflows. * Ability to work in client-facing delivery environments and communicate clearly with technical and non-technical audiences. DESIRABLE / NICE TO HAVE * Experience with Databricks and/or Snowflake. * Cloud development experience, particularly Infrastructure as Code (Terraform, Bicep, ARM). * Exposure to data orchestration tools, APIs, and event-driven integration. * Financial services, private equity, or alternative assets domain experience. * Relevant certifications (e.g. Azure Data Engineer Associate, Azure Fundamentals). WHAT WE OFFER * Competitive base salary  * Annual performance bonus tied to individual and company outcomes. * Comprehensive benefits package including private medical insurance, life assurance, and income protection. * Hybrid working model with flexible arrangements to support work-life balance. * Generous pension scheme with enhanced employer contributions. * Continuous learning budget and access to industry conferences, certifications, and training programmes. * 25 days annual leave plus bank holidays, with option to buy additional days. * Employee assistance programme and wellbeing support.