51 to 75 of 197 dbt Jobs in the UK

in SQL and experience working with relational and analytical databases. · Familiarity with Power Query (M) language and advanced transformations. · Strong programming skills in Python. · Exposure to orchestration tools (Airflow, dbt, Dataform) and integration with Power BI. · Experience with Azure-based data services (Azure Data Lake, Synapse, Data Factory) and their integration with Power BI. · Knowledge of data modelling techniques including More ❯

join our Data & Analytics team. This role is instrumental in delivering clean, modern, and efficient data solutions across cloud-native platforms. Key Responsibilities Develop solutions across Snowflake, Azure, and DBT platforms. Lead migration and optimisation of applications using Azure cloud-native services. Write clean, testable, and maintainable code following industry standards. Implement CI/CD pipelines and test automation using More ❯

data platforms, data integration, or enterprise SaaS. Data platform knowledge: Strong familiarity with data warehouses/lakehouses (Snowflake, Databricks, BigQuery), orchestration tools (Airflow, Prefect), streaming (Kafka, Flink), and transformation (dbt). Technical proficiency: Solid understanding of REST/GraphQL APIs, SDK development, authentication/authorization standards (OAuth, SSO), and best practices in developer experience. Customer empathy: Strong customer empathy for More ❯

and simplify access to key business numbers. Provide context behind the metrics: why they move, and what drives them. Key Skills: Experience with BI tools (Tableau, Metabase) SQL, Python DBT Contract Details: Up to £350 per day, Outside IR35 3 months (rolling) Fully remote (UK) If you're a Contract Data Analyst who wants to do more than report numbers 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 ❯

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 ❯

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 ❯

client within Venture capital is looking for a data engineer to join their team.The role will be working maintaining & modernising data pipelines. Requirements Python Azure, CI/CD Airflow, DBT Docker GitHub, Azure DevOps LLM Experience desirable Contract: 12 Months Rate: £500-600 Via Umbrella Location: London - 3 days per week in the office. If this role is of interest More ❯

within Venture capital is looking for a data engineer to join their team. The role will be working maintaining & modernising data pipelines. Requirements Python Azure, CI/CD Airflow, DBT Docker GitHub, Azure DevOps LLM Experience desirable Contract: 12 Months Rate: £(Apply online only) Via Umbrella Location: London - 3 days per week in the office. If this role is of More ❯

ideally in a big data environment . Expertise in SQL (analytical SQL required) and familiarity with tools such as Excel, VBA, Python, R, or similar programming languages. Exposure to dbt or modern data transformation frameworks would be highly desirable. Proven ability to solve both quantitative and qualitative problems with creativity and rigour. Excellent communication skills – you can turn complex data More ❯

ideally in a big data environment . Expertise in SQL (analytical SQL required) and familiarity with tools such as Excel, VBA, Python, R, or similar programming languages. Exposure to dbt or modern data transformation frameworks would be highly desirable. Proven ability to solve both quantitative and qualitative problems with creativity and rigour. Excellent communication skills – you can turn complex data More ❯

ideally in a big data environment . Expertise in SQL (analytical SQL required) and familiarity with tools such as Excel, VBA, Python, R, or similar programming languages. Exposure to dbt or modern data transformation frameworks would be highly desirable. Proven ability to solve both quantitative and qualitative problems with creativity and rigour. Excellent communication skills – you can turn complex data More ❯

data applications Airflow purely for job scheduling and tracking Circle CI for continuous deployment Parquet and Delta file formats on S3 for data lake storage Spark for data processing DBT for data modelling SparkSQL for analytics Why else you'll love it here Wondering what the salary for this role is? Just ask us! On a call with one of 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 ❯

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 ❯

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 ❯

will include: Support Influencer Marketing team: data cleaning, reporting, dashboards, automating manual processes. Support Performance Marketing team: performance reports and insights. Build dashboards in ThoughtSpot. Write SQL (Snowflake, some DBT). Present insights back to marketing stakeholders. YOUR SKILLS AND EXPERIENCE The successful Ecommerce Data Analyst will have the following skills and experience: SQL (essential). Experience in marketing/ More ❯

and verbal communication skills for technical and executive audiences. Preferred Qualifications Bachelor's or advanced degree in Business, Computer Science, or related field. Experience with modern data stacks (e.g., dbt, Fivetran, Looker, Power BI). Knowledge of data governance, quality frameworks, and compliance requirements. Familiarity with data mesh, domain-driven design, or federated data product models. Exposure to AI/ More ❯

of professional experience in a data analytics or similar role. Strong SQL skills. Proficiency in Python is also beneficial Knowledge of data warehousing, ETL systems and modern equivalents like DBT Experience working with business intelligence software (Looker, Tableau etc.) Experience and interest in ML/AI is beneficial Proven track record of communication with internal stakeholders to drive meaningful action 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 ❯

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 ❯