Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Nucleus Financial

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2006

💸 Finance

💳 Fintech

☁️ SaaS

Finance • Fintech • SaaS

Nucleus Financial is one of the UK's leading independent groups for investment platforms, products and wealthtech software, and the only large-scale group with a comprehensive range of bespoke platform solutions to meet the evolving needs of advisory and investment management firms of all sizes, as well as their clients. They offer adviser and customer-facing platforms (Nucleus Platform), retirement-focused adviser platform combining technology and pension expertise, a wrap platform (Nucleus Wrap), SIPPs via James Hay and Curtis Banks, enterprise solutions (Third Financial), and wealthtech services (Dunstan Thomas). The group administers £110bn assets under administration, serves 251k customers and ~5. 2k advice firms. Headquarters in Salisbury, UK. They provide digital capability, back-office integrations, regulatory and legal information, and BDM booking for demos. The company focuses on retirement and wealth management solutions for advisers and customers in the UK.

📋 Description

• Build and maintain Microsoft Fabric data pipelines and notebooks sourcing data over SFTP, APIs and gateway database connections • Land source data in the Fabric Lakehouse and load it into the persistent staging layer of the Fabric Data Warehouse • Write and optimise SQL stored procedures to transform staged data into curated dimensional models • Develop Fabric semantic models, DAX measures, Power BI reports and paginated reports • Apply documented architecture, naming conventions and re-runnability standards • Test pipelines end to end in isolated feature workspaces and validate row counts, key values, logging and downstream impact • Conduct peer reviews of Azure DevOps pull requests • Support daily ETL operations by checking overnight runs, investigating failures and applying recovery procedures • Follow feature-branch, feature-workspace and regulatory change-control approval processes • Document transformation logic, data mappings and known edge cases for each pipeline • Collaborate with finance, operations, risk and platform business colleagues on data needs and interpretation • Participate in Agile planning, backlog refinement and retrospectives

🎯 Requirements

• Strong SQL skills, including writing and optimising stored procedures against SQL Server, Azure SQL or Fabric • Practical experience building, troubleshooting and maintaining ETL processes and data pipelines in Microsoft Fabric, Azure Data Factory, Synapse or Databricks • Solid grounding in data warehousing concepts, including star schemas, fact grain, surrogate keys and slowly changing dimensions • Experience building semantic models, writing DAX measures, and developing Power BI reports or dashboards • Working knowledge of Python for file parsing and automation, ideally within notebooks • Comfortable with Git branching, pull requests and code review, ideally in Azure DevOps • Methodical approach to validating work, including reconciling to source and checking downstream impact • Ability to trace data issues through data layers to their cause • Able to explain technical detail to non-technical colleagues and clarify incomplete requirements • Hands-on Microsoft Fabric experience is desirable; DP-700 certification is welcome but not required • Experience in formal change control and regulated environments is desirable • Exposure to financial services data such as holdings, transactions, flows and charges is desirable • Experience designing or operating source-to-warehouse reconciliation and validation controls is desirable

🏖️ Benefits

• Non-contributory pension • Bonus • Enhanced parental leave • Paid time off for emergencies • Health and wellbeing initiatives • Flexible working options • Reward for efforts • Social responsibility and inclusion-focused workplace culture