13 of 13 dbt Jobs in the East Midlands

are now looking for a hands-on Data Engineer to join their talented delivery team. This is a fantastic opportunity to work with a modern data stack - including Snowflake , dbt , AWS , Python , and SQL - on impactful projects that power reporting, automation, predictive analytics and Artificial Intelligence. This role is fully remote, and is therefore open to candidates across the UK. … a self-starter mentality, who wants to be part of company that is growing and maturing whilst continually learning. Key responsibilities: Designing and building robust data pipelines using SQL, dbt, and Python within Snowflake Developing scalable, testable, and maintainable code Collaborating with analytics, product, and client teams to deliver high-quality data solutions Supporting the development of data products like … tooling Contributing to internal best practices and agile delivery processes Experience required: Proven experience as a Data Engineer or Analytics Engineer Strong experience with Snowflake Hands-on experience with dbt Proficiency in Python and SQL Solid understanding of Git and development lifecycle best practices Experience integrating APIs or working with event/log data streams Ability to manage multiple priorities More ❯

data engineering techniques, tooling, and approaches within the business. Stay up to date with emerging data engineering trends and identify opportunities for continuous improvement. Technical Skills: Data Build Tool (DBT): Minimum 1 year’s hands-on project delivery experience. Microsoft Fabric: Minimum 1 year of practical experience working with Fabric-based solutions. At least 2 years of experience delivering business More ❯

that serve major UK brands and internal teams alike. What you’ll be doing: Lead design and build of secure, scalable data pipelines using Azure Data Factory , Snowflake , and DBT Collaborate across Product, BI, Cloud, and IT to deliver impactful data solutions Optimize performance, enforce governance, and ensure seamless integration of APIs, external systems, and databases Own and evolve CI … Be hands-on in modelling, scripting, permissions, and performance tuning What we’re looking for: 8+ years of experience in data engineering, with deep expertise in SQL, Snowflake, Azure, DBT , and Power BI Strong Python skills and experience integrating third-party systems via APIs Confident communicator able to bridge technical and non-technical teams Proven ability to deliver efficient, scalable More ❯

serve major UK brands and internal teams alike. What you’ll be doing: Lead the design and build of secure, scalable data pipelines using Azure Data Factory , Snowflake , and DBT Collaborate across Product, BI, Cloud, and IT to deliver data solutions that power real-world impact Optimise performance, enforce governance, and ensure seamless integration of APIs, external systems, and databases … from modelling and scripting to permissions and performance tuning What we’re looking for: 8+ years of experience in data engineering, with deep technical expertise across SQL, Snowflake, Azure, DBT , and Power BI Strong Python skills and experience integrating third-party systems via APIs A confident communicator who can bridge technical and non-technical teams Proven ability to deliver efficient More ❯

serve major UK brands and internal teams alike. What you’ll be doing: Lead the design and build of secure, scalable data pipelines using Azure Data Factory , Snowflake , and DBT Collaborate across Product, BI, Cloud, and IT to deliver data solutions that power real-world impact Optimise performance, enforce governance, and ensure seamless integration of APIs, external systems, and databases … from modelling and scripting to permissions and performance tuning What we’re looking for: 8+ years of experience in data engineering, with deep technical expertise across SQL, Snowflake, Azure, DBT , and Power BI Strong Python skills and experience integrating third-party systems via APIs A confident communicator who can bridge technical and non-technical teams Proven ability to deliver efficient More ❯

serve major UK brands and internal teams alike. What you’ll be doing: Lead the design and build of secure, scalable data pipelines using Azure Data Factory , Snowflake , and DBT Collaborate across Product, BI, Cloud, and IT to deliver data solutions that power real-world impact Optimise performance, enforce governance, and ensure seamless integration of APIs, external systems, and databases … from modelling and scripting to permissions and performance tuning What we’re looking for: 8+ years of experience in data engineering, with deep technical expertise across SQL, Snowflake, Azure, DBT , and Power BI Strong Python skills and experience integrating third-party systems via APIs A confident communicator who can bridge technical and non-technical teams Proven ability to deliver efficient More ❯

serve major UK brands and internal teams alike. What you’ll be doing: Lead the design and build of secure, scalable data pipelines using Azure Data Factory , Snowflake , and DBT Collaborate across Product, BI, Cloud, and IT to deliver data solutions that power real-world impact Optimise performance, enforce governance, and ensure seamless integration of APIs, external systems, and databases … from modelling and scripting to permissions and performance tuning What we’re looking for: 8+ years of experience in data engineering, with deep technical expertise across SQL, Snowflake, Azure, DBT , and Power BI Strong Python skills and experience integrating third-party systems via APIs A confident communicator who can bridge technical and non-technical teams Proven ability to deliver efficient 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 ❯

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 ❯

resolution, customer segmentation, and real-time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased More ❯

resolution, customer segmentation, and real-time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased More ❯

Data Engineer Azure - DBT - Midlands - Rapid Growth Scale-Up About the Company Join a fast-growing Data Analytics software house that is shaking up the analytics market. In just 5 years, they've grown from a startup to £11M turnover and offices across the UK and internationally. Helping clients rapidly achieve actionable insights from their data, they have outpaced the … data engineering solutions that help clients become self-sufficient with their data. What makes this role special: Direct client impact - see your work drive real business decisions Cutting-edge DBT implementation (key differentiator for the business) Variety of projects across different industries and use cases Opportunity to work with the latest Microsoft Fabric technology Essential Skills: DBT experience – (required) Strong … creates advancement opportunities Exposure to latest data technologies and methodologies International expansion opportunities Work with cutting-edge AI implementations If you are an Azure Data Engineer with experience of DBT and would like to working in an exciting, fast paced Data company then this could be a great role for you. APPLY TODAY FOR IMMEDIATE CONSIDERATION AND INTERVIEW IN More ❯

and Maintaining Data warehouse in big data solutions on Cloud and on Premises. Experience and knowledge of cloud platforms such as Snowflake, AWS (S3, Glue, EC2, Athena), Databricks and DBT . This includes hands-on knowledge of cloud-based data storage, processing, and analytics solutions. Good understanding of business processes. Strong analytical skills and techniques. Expertise in Batch \Real Time More ❯