101 to 125 of 246 dbt Jobs in England

strategy within ambitious software businesses. Specifically, you can expect to be involved in the following: Designing and developing full-stack data pipelines and platforms using modern tools such as dbt, Airflow, and cloud infrastructure Cleansing, enriching and modelling data to generate commercial insights and power C-level dashboards Delivering scalable solutions that support internal use cases and extend directly to … finance, sales) and building tools that serve business needs Background in startups or scale-ups with high adaptability and a hands-on approach Experience with modern data tools (e.g. dbt, Airflow, CI/CD) and at least one cloud platform (AWS, GCP, Azure) Strong communication skills and a track record of credibility in high-pressure or client-facing settings BENEFITS More ❯

S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential) Benefits: Competitive salary Performance bonus scheme 100% remote working (UK only) 26 days holiday + Bank holidays + Birthday off Opportunity for growth and development More ❯

S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential) Benefits: Competitive salary Performance bonus scheme 100% remote working (UK only) 26 days holiday + Bank holidays + Birthday off Opportunity for growth and development More ❯

S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential) Benefits: Competitive salary Performance bonus scheme 100% remote working (UK only) 26 days holiday + Bank holidays + Birthday off Opportunity for growth and development More ❯

S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential) Benefits: Competitive salary Performance bonus scheme 100% remote working (UK only) 26 days holiday + Bank holidays + Birthday off Opportunity for growth and development More ❯

S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential) Benefits: Competitive salary Performance bonus scheme 100% remote working (UK only) 26 days holiday + Bank holidays + Birthday off Opportunity for growth and development More ❯

S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential) Benefits: Competitive salary Performance bonus scheme 100% remote working (UK only) 26 days holiday + Bank holidays + Birthday off Opportunity for growth and development More ❯

/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong More ❯

/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong More ❯

data platform, ensuring scalability, reliability, and security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead … Expertise in data engineering and cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product mindset, focusing on user needs More ❯

and naturally curious Comfortable working across multiple business areas with varied responsibilities Nice-to-Haves Exposure to tools like Prefect , Airflow , or Dagster Familiarity with Azure SQL , Snowflake , or dbt Tech Stack/Tools Python SQL (on-prem + Azure SQL Data Warehouse) Git Benefits £35,000 - £40,000 starting salary (up to £45,000 for the right candidate) Discretionary More ❯

a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring More ❯

a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring 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 ❯

etc) A drive to solve problems using data Experience in a management role What would be a bonus: Familiarity with Git Data visualization tool (Tableau, Looker, PowerBI or equivalent) DBT 2-5 years experience of consumer credit risk or collections in the financial services, utilities or telecommunications industries Why else you'll love it here Wondering what the salary for More ❯

capabilities. Understands modern software delivery methodologies and project management tools and uses them to drive successful outcomes Technical requirements Cloud Data Warehouse (Big Query, Snowflake, Redshift etc) Advanced SQL DBT Airflow (or similar tool) ELT Looker (or similar tool) Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses More ❯

help clients make smarter, data-driven decisions. The Role As an Analytics Engineer, you’ll design and build scalable, production-ready data pipelines and analytics infrastructure using tools like dbt, SQL, Python, and cloud data warehouses. You’ll work end-to-end—from scoping to delivery—on projects that directly impact clients’ strategic decisions. The role is highly technical and … Key attributes of the suitable Analytics Engineer include: A few years of experience in analytics or data engineering, with strong SQL and Python skills, and hands-on experience with dbt, Airflow, and cloud platforms (AWS, GCP, or Azure). You should be confident designing ELT/ETL pipelines and working across varied technical stacks. Strong communication skills and experience working More ❯

help clients make smarter, data-driven decisions. The Role As an Analytics Engineer, you’ll design and build scalable, production-ready data pipelines and analytics infrastructure using tools like dbt, SQL, Python, and cloud data warehouses. You’ll work end-to-end—from scoping to delivery—on projects that directly impact clients’ strategic decisions. The role is highly technical and … Key attributes of the suitable Analytics Engineer include: A few years of experience in analytics or data engineering, with strong SQL and Python skills, and hands-on experience with dbt, Airflow, and cloud platforms (AWS, GCP, or Azure). You should be confident designing ELT/ETL pipelines and working across varied technical stacks. Strong communication skills and experience working More ❯

of data from any source — whether databases, applications, or files — into lakehouses like Snowflake, Databricks, and Redshift. With pipelines that just work and features like advanced data transformation using dbt Core and end-to-end pipeline observability, we’re focused on making robust data pipelines accessible to everyone. We are looking to add senior engineers to our core engineering team More ❯

metrics and dashboards they're presented with - Consumers can self-serve if needed - Consumers can retrieve data via automation What you'll do: Build, document and consult on: Using dbt to model analytics for business domains using a data mesh framework. Charts and dashboards using modern BI tools Comprehensive testing frameworks using tools like dbt_expectation and elementary to ensure … models. Build monitoring and alerting tools for gathering insight on AE performance This role requires Experience in the following Languages: SQL (Advanced) Jinja (Advanced) Experience with the following tools: dbt Core Git A Cloud warehouse provider e.g. Databricks, GCP, Snowflake The following would be nice to have Experience in the following Languages: Python Experience with the following tools: Github Lightdash More ❯

and APIs (RESTful/GraphQL), with solid experience in microservices and databases (SQL/NoSQL). You know your way around big data tools (Spark, Dask) and orchestration (Airflow, DBT). You understand NLP and have experience working with Large Language Models. You're cloud-savvy (AWS, GCP, or Azure) and comfortable with containerization (Docker, Kubernetes). You have strong More ❯

You Bring 3+ years in analytics engineering, data engineering, or BI roles Deep experience with SQL (Python a bonus) Familiarity with modern data stacks: Fabric, BigQuery, Fivetran/Stitch, dbt, Looker/Hex/Metabase etc. Strong understanding of data modelling principles (dimensional models, slowly changing dimensions etc.) Track record of collaborating across functions and delivering impact Bias for shipping More ❯

step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so advanced experience in these will not be relevant). Experience in the More ❯

step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so advanced experience in these will not be relevant). Experience in the More ❯