Senior Data Engineer

Northreach is a dynamic recruitment agency that connects businesses with top talent in financial services, fintech, and digital sectors. We specialize in providing a seamless recruitment experience for clients and candidates, fostering innovation and professional growth. Our client is an established fintech scale-up transforming how digital platforms use data to support smarter financial decisions. They’ve grown rapidly across the UK, Europe, and North America, with backing from a respected investment group. Their culture is data-driven, collaborative, and built around empowering teams to deliver fast, reliable insights that drive growth and performance. About the Role We’re looking for a Senior Analytics Engineer to help build and evolve a world-class analytics environment. You’ll take ownership of designing, developing, and maintaining scalable data pipelines and models that power decision-making across multiple business areas. This is a hands-on technical role where you’ll bridge

data engineering and analytics, working closely with teams in product, finance, and technology to translate complex business questions into accessible, trustworthy datasets and visualisations. What You’ll Do Build and optimise robust data models in SQL and dbt Develop automated data pipelines and ensure strong data governance standards Partner with analysts, product managers, and engineers to develop data solutions and dashboards Create impactful reports and visualisations using tools such as Tableau, Looker, or Metabase Implement and promote best practices in version control, testing, and continuous integration Mentor and support junior team members, helping to elevate the wider analytics capability Identify opportunities to streamline workflows and improve data accuracy and accessibility About You 4+ years’ experience in data or analytics engineering, ideally within fintech, SaaS, or digital platforms Deep proficiency in SQL and hands-on experience with dbt Experience working with modern data warehouses (Snowflake, BigQuery, or Redshift) Familiarity with software engineering principles (Git, CI/CD, testing frameworks) Strong understanding of data visualisation and BI tools Confident communicator able to translate technical detail into clear business insight