26 to 50 of 72 dbt Jobs in the South East

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 ❯

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 ❯

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 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 ❯

day decisions. Skills & Experience Required: Proven experience in analytics, ideally within marketing, growth, or e-commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statistical analysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical More ❯

day decisions. Skills & Experience Required: Proven experience in analytics, ideally within marketing, growth, or e-commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statistical analysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical 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 ❯

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 ❯

environment. Strong SQL and comfortable working with large datasets in a cloud data warehouse. Data visualisation and storytelling. Strong attention to detail. Familiarity with tools such as Looker Studio, dbt, Git. More ❯

environment. Strong SQL and comfortable working with large datasets in a cloud data warehouse. Data visualisation and storytelling. Strong attention to detail. Familiarity with tools such as Looker Studio, dbt, Git. More ❯

environment. Strong SQL and comfortable working with large datasets in a cloud data warehouse. Data visualisation and storytelling. Strong attention to detail. Familiarity with tools such as Looker Studio, dbt, Git. More ❯

systems. Key Skills & Experience Excellent communication and collaboration skills Strong understanding of data movement patterns including ELT, event-oriented architecture, and data streaming Snowflake expertise is essential Experience with dbt, dbt Cloud, and Kafka is highly desirable Knowledge of the London Markets is a must Reasonable Adjustments: Respect and equality are core values to us. We are proud of the More ❯

Person The ideal candidate has 1-2 years' experience in ecommerce or marketing analytics , strong SQL skills , and familiarity with metrics like CAC, LTV, ROAS, and attribution. Exposure to dbt, Snowflake, Shopify, or GA4 is a plus. This role suits someone who is: Hands-on and proactive with a strong commercial awareness. Comfortable juggling multiple projects in a fast-paced More ❯

Person The ideal candidate has 1-2 years' experience in ecommerce or marketing analytics , strong SQL skills , and familiarity with metrics like CAC, LTV, ROAS, and attribution. Exposure to dbt, Snowflake, Shopify, or GA4 is a plus. This role suits someone who is: Hands-on and proactive with a strong commercial awareness. Comfortable juggling multiple projects in a fast-paced More ❯

and performance Ensure compliance with data governance policies including RBAC, encryption, and audit logging Collaborate with data engineering teams to streamline provisioning and reduce overhead Stakeholder Engagement: Liaise with DBT’s platform, data, and finance teams to align technical decisions with business objectives Present cost-saving recommendations and technical roadmaps to senior stakeholders Document architecture decisions and maintain technical artefacts More ❯

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 ❯

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 ❯

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 ❯

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 ❯

If successful, you'll have the opportunity to grow the data function and step into a leadership role. The Role: Designing and building robust ETL pipelines using tools like dbt or Apache Airflow Integrating data from APIs, databases, and SaaS platforms into BigQuery Structuring clean, queryable data models to support analytics and reporting Collaborating with analysts to deliver insightful dashboards … via Looker Establishing data governance and quality processes Requirements: GCP (BigQuery), but open to other cloud backgrounds ETL: dbt, Apache Airflow, or similar BI: Looker (preferred), or other BI tools Languages: SQL, Python, Java Experienced data engineer, with strong ETL and cloud data warehouse experience Proficiency in SQL and data modelling best practices Experience with BI tools and dashboard creation More ❯

Role: Principal Data Engineer (DBT lean)Salary: £70,000 - £90,000 (dependant on experience)Contracting and Permanent hires considered Location: ALL locations considered: We have offices in Liverpool or Newbury office UK for Hybrid working and Sibenik (Croatia)Let us introduce ourselves We're Intuita, a new kind of data partner. We're a collective of data-driven people ready … developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficial Depth of knowledge and understanding across core orchestration tools and CI/CD pipelines More ❯