Senior Data Engineer

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🕒 4 days ago

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Fintel

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2002

💸 Finance

🤝 B2B

🔥 Funding within the last year

💰 $158.5M Post-IPO Debt - Fintel on 2025-07

Finance • B2B

Fintel is a UK-based company that connects and simplifies the retail financial services sector by providing advisory, data, and platform services to financial professionals and product providers. With multiple brands and over 500 employees, Fintel supports thousands of advisers and hundreds of product providers to improve outcomes across the financial services industry, emphasizing inclusivity, expertise, and future-focused technology and service delivery.

📋 Description

• This is a broad, high-impact engineering role at Defaqto. • You will be central to the structural transformation of how we manage and use market data. • Lead the technical build of a new core data model. • Own the engineering that powers our research team's day-to-day operations and the wider data strategy. • Help shape and build our next-generation data platform. • Contributing to architectural and tooling decisions alongside the CTO, Head of Data, and external data architect. • Focus will be implementing the agreed data model and technology approach while progressing automation initiatives in parallel. • Implement the physical data model based on the agreed logical design and technology recommendations agreed during the architecture phase. • Build and maintain the transformation layer in the agreed tooling: staging models, mart models, tests, and documentation. • Design and implement compatibility views that allow existing research tooling to continue operating during transition. • Own the data quality framework - tests, monitoring, and alerting across the data model and downstream consumers. • Support the phased migration of the research data entry platform to write natively to the new schema. • Contribute engineering perspective to ongoing architecture decisions as the data model evolves beyond the initial scope. • Assess automation opportunities across research and data workflows and recommend the appropriate technical approach. • Build and maintain automation pipelines that reduce manual research effort. • Ensure automation outputs flow into the data model with appropriate quality controls and human-review checkpoints. • Be the primary technical partner for the Research & Insights team's data engineering needs. • Work with Research & Insights and Product stakeholders to identify high-value automation opportunities and maintain a prioritised delivery roadmap. • Contribute to and implement Defaqto's broader data strategy across the data estate. • Build and maintain the data catalogue and lineage documentation. • Participate in evaluating and adopting new data tooling as the stack evolves.

🎯 Requirements

• Strong hands-on experience with SQL and data modelling for analytical workloads (OLAP) • Proficiency with dbt and familiarity with the broader SQL transformation layer ecosystem (SQLMesh, Dataform, or equivalent) • Experience with Google BigQuery or an equivalent cloud data warehouse • Proven ability to design and implement data pipelines and ETL/ELT processes • Experience working with version control (Git) and treating data infrastructure as code • Proficiency with Python for data engineering and automation work • Experience assessing and implementing automation solutions • Practical experience working with LLMs or AI APIs in an engineering context • Ability to translate business rules and logic into reliable, testable data models • Strong communication skills - able to work with non-technical stakeholders including researchers and product teams • Experience in financial services, insurance, or fintech data environments (Desirable) • Familiarity with data quality frameworks such as Great Expectations or Soda (Desirable) • Experience with Google Cloud Platform services beyond BigQuery (Desirable) • Exposure to .NET or relational SQL Server environments (Desirable) • Understanding of data cataloguing, lineage, and metadata management (Desirable) • Experience applying ML or LLM-based approaches to document extraction, classification, or data enrichment problems (Desirable) • Familiarity with LLM orchestration frameworks such as LangChain or LlamaIndex (Desirable)

🏖️ Benefits

• This is a hybrid role where you'll work from the London office 3 times each week. • Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship.