22 of 22 dbt Jobs in Central London

experience in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. Experience More ❯

enterprise b2c who you will have heard of/used, who are seeking 2x Data Engineers to join them asap on an initial 6 months contract. Python, SQL, AWS, dbt, Airflow (spark/scala a bonus) 6 months Outside IR35 (ltd company) £500-600 per day Asap start More ❯

senior levels. Entrepreneurial mindset with a bias for action and delivery. Desirable but not essential: Sector experience in advertising, media, or technology. Familiarity with tools such as Power BI, dbt, Snowflake, Python/R, and cloud platforms (Azure preferred). Experience with financial modelling, forecasting, and operational analytics. VCCP DE&I Statement We believe that DE&I is about creating More ❯

senior levels. Entrepreneurial mindset with a bias for action and delivery. Desirable but not essential: Sector experience in advertising, media, or technology. Familiarity with tools such as Power BI, dbt, Snowflake, Python/R, and cloud platforms (Azure preferred). Experience with financial modelling, forecasting, and operational analytics. VCCP DE&I Statement We believe that DE&I is about creating More ❯

relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build Tool) for building modular, version-controlled, and testable data transformation workflows, with a strong understanding of modeling best practices and deployment strategies. Solid knowledge of infrastructure as code using AWS More ❯

relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build Tool) for building modular, version-controlled, and testable data transformation workflows, with a strong understanding of modeling best practices and deployment strategies. Solid knowledge of infrastructure as code using AWS More ❯

with the Performance Marketing team (Google, Meta, Snap) to deliver insights and campaign reports. Designing and building dashboards in ThoughtSpot (or similar). Writing SQL queries across Snowflake (and DBT pipelines). Identifying opportunities to streamline reporting processes and reduce reliance on spreadsheets/manual input. Presenting findings and performance insights back to marketing stakeholders in a clear, actionable way. More ❯

technologies. Requirements Extensive experience delivering data platform and strategy projects in financial services, ideally including asset management. Hands-on expertise with modern data stack tools (e.g., cloud data platforms, dbt, orchestration tools). Strong understanding of data governance, quality, and compliance in regulated environments. Familiarity with AI/ML technologies and their real-world application in finance. Proven leadership, stakeholder More ❯

with performance marketing (Google, Meta, Snap) to deliver insights and campaign analysis. Designing and maintaining dashboards in ThoughtSpot (or similar). Writing SQL queries in Snowflake and working with DBT pipelines. Streamlining reporting processes and reducing reliance on spreadsheets. Presenting insights back to stakeholders in a clear, commercial way. Your Experience Strong SQL skills. Proven experience in marketing or ecommerce More ❯

with the Performance Marketing team (Google, Meta, Snap) to deliver insights and campaign reports. Designing and building dashboards in ThoughtSpot (or similar). Writing SQL queries across Snowflake (and DBT pipelines). Identifying opportunities to streamline reporting processes and reduce reliance on spreadsheets/manual input. Presenting findings and performance insights back to marketing stakeholders in a clear, actionable way. More ❯

technologies. Requirements Extensive experience delivering data platform and strategy projects in financial services, ideally including asset management. Hands-on expertise with modern data stack tools (e.g., cloud data platforms, dbt, orchestration tools). Strong understanding of data governance, quality, and compliance in regulated environments. Familiarity with AI/ML technologies and their real-world application in finance. Proven leadership, stakeholder More ❯

digestible visualizations and dashboards Excellent communication and presentation skills, with the ability to effectively convey insights to non-data colleagues Working knowledge of ELT/data modelling tools like dbt (bonus) Benefits Generous stock options scheme Enhanced maternity, paternity, adoption, and shared parental leave packages Time off for IVF/Fertility appointments and a compassionate leave policy 30 days annual More ❯

digestible visualizations and dashboards Excellent communication and presentation skills, with the ability to effectively convey insights to non-data colleagues Working knowledge of ELT/data modelling tools like dbt (bonus) Benefits Generous stock options scheme Enhanced maternity, paternity, adoption, and shared parental leave packages Time off for IVF/Fertility appointments and a compassionate leave policy 30 days annual More ❯

TO THE TEAM You bring a deep understanding of how to transform raw data into clean, reliable and analysis-ready datasets. You’re fluent in SQL and experienced with DBT, with a strong appreciation for scalable, well-structured models that encode business logic clearly and consistently. You think analytically and work methodically ensuring your transformations enable reporting, analytics and activation … use cases with confidence. YOUR NEXT CHALLENGE As an Analytics Engineer at Medialab, you will: Design, build and maintain data models within our DBT codebase, transforming raw data into clean, tested, and documented datasets ready for analytics and activation. Onboard new data feeds, working closely with business and technical stakeholders to understand requirements and ensure smooth integration into our pipelines. … Support users and team members, sharing knowledge and solving problems effectively. Must Have Skills SQL – proficient; confident in writing performant, well-structured SQL with full understanding of ANSI standards. DBT – strong working knowledge; experienced in building, testing, and documenting models as the central tool for transformation and semantic modelling. Python – some experience; able to use and adapt scripts and tooling More ❯

TO THE TEAM You bring a deep understanding of how to transform raw data into clean, reliable and analysis-ready datasets. You’re fluent in SQL and experienced with DBT, with a strong appreciation for scalable, well-structured models that encode business logic clearly and consistently. You think analytically and work methodically ensuring your transformations enable reporting, analytics and activation … use cases with confidence. YOUR NEXT CHALLENGE As an Analytics Engineer at Medialab, you will: Design, build and maintain data models within our DBT codebase, transforming raw data into clean, tested, and documented datasets ready for analytics and activation. Onboard new data feeds, working closely with business and technical stakeholders to understand requirements and ensure smooth integration into our pipelines. … Support users and team members, sharing knowledge and solving problems effectively. Must Have Skills SQL – proficient; confident in writing performant, well-structured SQL with full understanding of ANSI standards. DBT – strong working knowledge; experienced in building, testing, and documenting models as the central tool for transformation and semantic modelling. Python – some experience; able to use and adapt scripts and tooling More ❯

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in More ❯

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in More ❯

data. What you’ll be doing: Partnering with Performance & Influencer Marketing teams to measure spend, CAC, LTV, and campaign effectiveness Building dashboards and reports in ThoughtSpot Using SQL and dbt to model new data sources and improve reporting accuracy Supporting attribution modelling, A/B test reporting, customer segmentation, and LTV analysis Working cross-functionally to integrate new tools, streamline … influencer processes, and improve marketing workflows Requirements: Strong SQL (complex joins, CTEs, window functions) Experience with dbt, data visualisation (ThoughtSpot a bonus), GA4, Google Ads, Meta, Klaviyo Exposure to Snowflake, BigQuery, or Shopify is a plus A self-starter who enjoys problem-solving and making data accessible for non-technical teams Package & Setup: £55,000 salary Hybrid: 2 days per More ❯

data. What you’ll be doing: Partnering with Performance & Influencer Marketing teams to measure spend, CAC, LTV, and campaign effectiveness Building dashboards and reports in ThoughtSpot Using SQL and dbt to model new data sources and improve reporting accuracy Supporting attribution modelling, A/B test reporting, customer segmentation, and LTV analysis Working cross-functionally to integrate new tools, streamline … influencer processes, and improve marketing workflows Requirements: Strong SQL (complex joins, CTEs, window functions) Experience with dbt, data visualisation (ThoughtSpot a bonus), GA4, Google Ads, Meta, Klaviyo Exposure to Snowflake, BigQuery, or Shopify is a plus A self-starter who enjoys problem-solving and making data accessible for non-technical teams Package & Setup: £55,000 salary Hybrid: 2 days per More ❯

customer acquisition, retention, and lifetime value (LTV) Evaluate promotional campaigns and experiments for short- and long-term impact Extract, join, and manipulate data from Snowflake using advanced SQL and dbt models Build clear, engaging Tableau dashboards and reports Track and optimise marketing KPIs such as CAC, retention rates, and channel ROI Spot trends, anomalies, and opportunities proactively Enable stakeholders to … and insights effectively Requirements 5+ years’ experience in data analytics, ideally in marketing, growth, or e-commerce Advanced SQL skills for complex data extraction and manipulation Experience with Snowflake, dbt, and Tableau (or similar visualisation tools) Strong understanding of marketing metrics such as CAC, LTV, retention, and ROI Ability to work independently and deliver clear, actionable insights Excellent communication skills More ❯

ups in the UK. ROLE AND RESPONSIBILITIES Build and maintain dashboards in Looker Add new fields and make updates within these Looker models Assist with basic data modelling using DBT Conduct ad-hoc and regular analysis to support the product and tech teams Support more senior analysts on larger BI projects Contribute to documentation of models, dashboards, and data sources … respond to data requests as needed SKILLS AND EXPERIENCE Required: 2 years of experience in a BI, analytics, or data role (flexible) Proficient with Looker and SQL Exposure to DBT is a strong plus Familiarity with Excel, Power BI Good communication skills and some experience working with stakeholders Interview Process: Intro call and CV run-through Take-home task, followed More ❯

of the most well-funded and exciting InsurTech scale-ups in the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured … standards and best practices Communicate findings and recommendations clearly across technical and non-technical stakeholders SKILLS AND EXPERIENCE Required: 3+ years in an Analytics Engineering role Solid experience with DBT or similar modern modelling tools Advanced SQL skills and hands-on Snowflake experience Strong understanding of ETL concepts and building scalable pipelines Good communication skills — able to collaborate across functions More ❯