26 to 45 of 45 dbt Jobs in the City of London

Responsibilities: Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse. Implement data transformations and build analytical data models using dbt (data build tool). Develop and optimize complex SQL queries for data extraction, transformation, and loading in Snowflake. Orchestrate and schedule data workflows using Apache Airflow, including developing custom Python operators and … Git. Monitor data pipelines, troubleshoot issues, and optimize performance for efficiency and cost-effectiveness. Qualifications: Strong proficiency in SQL, particularly with Snowflake's features and functionalities. Extensive experience with dbt for data modeling, transformations, testing, and documentation. Solid experience with Apache Airflow for workflow orchestration and scheduling. Proficiency in Python for data manipulation, scripting, and automation. Experience with cloud platforms More ❯

will build, and lead the development of scalable data pipelines and platforms on AWS. The ideal candidate will have deep expertise in PySpark, Glue, Athena, AWS LakeFormation, data modelling, DBT, Airflow, Docker and will be responsible for driving best practices in data engineering, governance, and DevOps. Key Responsibilities: • Lead the design and implementation of scalable, secure, and high-performance data … related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance, security More ❯

will build, and lead the development of scalable data pipelines and platforms on AWS. The ideal candidate will have deep expertise in PySpark, Glue, Athena, AWS LakeFormation, data modelling, DBT, Airflow, Docker and will be responsible for driving best practices in data engineering, governance, and DevOps. Key Responsibilities: • Lead the design and implementation of scalable, secure, and high-performance data … related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance, security 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 ❯

Define and uphold data quality, security, and governance standards. Collaborate with teams to establish KPIs and core business metrics. Innovation & Future Tools (10%) Explore and implement new tools (e.g. dbt, Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics … similar). Strong grasp of data governance, quality assurance, and security best practices. Bonus: Experience with Microsoft Fabric, cloud data warehouses (Azure, Snowflake, BigQuery, Redshift), or orchestration tools like dbt or Airflow. Collaboration & Communication Ability to communicate technical insights clearly to non-technical audiences. Experience partnering with leadership and cross-functional teams. Mindset & Growth A proactive self-starter who thrives More ❯

Define and uphold data quality, security, and governance standards. Collaborate with teams to establish KPIs and core business metrics. Innovation & Future Tools (10%) Explore and implement new tools (e.g. dbt, Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics … similar). Strong grasp of data governance, quality assurance, and security best practices. Bonus: Experience with Microsoft Fabric, cloud data warehouses (Azure, Snowflake, BigQuery, Redshift), or orchestration tools like dbt or Airflow. Collaboration & Communication Ability to communicate technical insights clearly to non-technical audiences. Experience partnering with leadership and cross-functional teams. Mindset & Growth A proactive self-starter who thrives 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 ❯

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 ❯

join their growing data function. They're looking for a Power BI SME who has a real passion for driving analytics and insights. They have a stack of Snowflake, dbt, Python & Power BI. They're looking for someone who has end-to-end analytics experience and a genuine drive for data analytics and the impact it has on business performance. … coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please apply if this sounds like you More ❯

join their growing data function. They're looking for a Power BI SME who has a real passion for driving analytics and insights. They have a stack of Snowflake, dbt, Python & Power BI. They're looking for someone who has end-to-end analytics experience and a genuine drive for data analytics and the impact it has on business performance. … coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please apply if this sounds like you 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 ❯

retention — all while working with a modern tech stack and collaborating across international teams. Key Responsibilities: Pull, manipulate, and analyse data from Snowflake and other sources Build and maintain DBT models to support analytics Develop impactful dashboards and visualisations in Tableau Monitor business performance and customer behaviour to guide strategic decisions Analyse marketing activity, including promotions, spend, and retention metrics … to develop scalable analytics solutions What We’re Looking For: Previous experience in analytics/BI roles, ideally with marketing performance exposure Strong SQL skills with experience in Snowflake, DBT, and Tableau (or similar) Commercially minded, able to translate data into clear, actionable insights Comfortable working in a hybrid analytics and BI remit Strong communicator who thrives in cross-functional 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 ❯

performance, customer acquisition, retention, and lifetime value Assess campaign effectiveness (e.g. promotions, experiments) and measure both immediate and long-term impact Extract, manipulate, and join data using SQL (Snowflake, dbt) Create clear, engaging dashboards in Tableau (or similar) Track and report marketing KPIs (CAC, retention rates, channel ROI) Spot trends, risks, and opportunities proactively Collaborate with UK and global teams … ensure best practice and shared learning YOUR SKILLS AND EXPERIENCE 5+ years in analytics, ideally in marketing, growth, or e-commerce Advanced SQL skills and ideally experience with Snowflake, dbt, and Tableau (or similar) Strong grasp of marketing metrics Excellent communication skills to translate complex analysis into simple insights Proactive, curious, and able to work independently while collaborating effectively across More ❯

immediate and long-term effects on customer spend and retention. SQL Data Extraction & Manipulation – Pull, join, and transform data from Snowflake and other sources, working with data marts and dbt models. Data Visualisation – Create clear, compelling Tableau dashboards and reports for stakeholders at all levels. Marketing KPI Tracking – Support the marketing team in measuring key performance metrics (e.g., acquisition cost … interpreting data. Skills and Experience Experience in data analytics roles, ideally in marketing, growth, or e-commerce environments. Advanced SQL skills for data extraction and manipulation. Experience with Snowflake, dbt, and Tableau (or similar visualisation tools). A strong statistical foundation and ability to apply the right analytical methods. Understanding of marketing metrics such as CAC, LTV, retention, and channel 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 ❯