1 to 25 of 45 dbt Jobs in the South East

time and analytical data pipelines, metadata, and cataloguing (e.g., Atlan) Strong communication, stakeholder management, and documentation skills Preferred (but not essential): AWS or Snowflake certifications Knowledge of Apache Airflow, DBT, GitHub Actions Experience with Iceberg tables and data product thinking Why Apply? Work on high-impact, high-scale client projects Join a technically elite team with a strong culture of More ❯

Key Responsibilities: Design and maintain scalable data pipelines across diverse sources including CMS, analytics, ad tech, and social platforms. Lead engineering efforts to automate workflows using tools like Airflow, dbt, and Spark. Build robust data models to support dashboards, A/B testing, and revenue analytics. Collaborate with cross-functional teams to deliver actionable insights and support strategic initiatives. Drive More ❯

for a Data Engineer to join their London-based team. Key Responsibilities: Design and maintain scalable data pipelines across diverse sources. Automate and optimise workflows using tools like Airflow, dbt, and Spark. Support data modelling for analytics, dashboards, and A/B testing. Collaborate with cross-functional teams to deliver data-driven insights. Work with cloud platforms (GCP preferred) and More ❯

office once a week . Requirements: Proven experience as an Analytics Engineer or in a similar data engineering/BI role Advanced SQL skills with hands-on experience using dbt for data modeling Strong familiarity with modern data platforms like Snowflake, Looker, AWS/GCP, Tableau, or Airflow Experience with version control tools (e.g., Git) Ability to design, build, and More ❯

and secure use of machine learning. Key Focus Areas Own and execute enterprise data strategy Build and lead a multi-disciplinary data & AI team Drive modern data platform development (dbt, Airflow, Snowflake, Looker/Power BI) Deliver business-critical analytics and reporting Support responsible AI/ML initiatives Define data governance, privacy, and compliance frameworks What We're Looking For More ❯

to diverse audiences and collaborate effectively across teams. Bonus Points For: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker). Experience with specific orchestration tools (e.g., Airflow, dbt). Experience working in Agile/Scrum development methodologies. Experience with Big Data Technologies & Frameworks Join Us! This role can be based in either of our amazing offices in Havant More ❯

high-quality data assets Strong architectural acumen and software engineering fundamentals Experience driving adoption of data governance and improving data platform usage across internal teams stack including: Snowflake AWS DBT Airflow Python Kinesis Terraform CI/CD tools BENEFITS The successful Principal Data Engineer will receive the following benefits: Salary up to £107,000 Hybrid working: 2 days per week More ❯

customer insights Comfortable working with large datasets from sources like CRM, web analytics, product telemetry, etc. Exposure to cloud platforms (AWS, GCP, Azure) and modern data pipelines (e.g. Airflow, dbt) is a plus Soft Skills: Business-oriented thinker with strong communication skills Able to clearly explain complex models to non-technical audiences Skilled in stakeholder engagement and translating analytics into More ❯

data solutions Proficiency in Python, SQL, and data modelling tools (e.g. Erwin, Lucidchart) Strong knowledge of AWS services (Lambda, SNS, S3, EKS, API Gateway) Familiarity with Snowflake, Spark, Airflow, DBT, and data governance frameworks Preferred: Certifications in cloud/data technologies Experience with API/interface modelling and CI/CD (e.g. GitHub Actions) Knowledge of Atlan and iceberg tables More ❯

Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows Experience with BI tools such as Looker Exposure to Databricks, Snowflake, AWS, Azure or DBT Academic background in Computer Science, Mathematics or a related field This is an opportunity to work in a forward-thinking environment with access to cutting-edge projects, ongoing learning, and More ❯

using Git. Proven background in data modelling and architecture design. Nice to have: Experience with Azure services (e.g., App registration, Storage Accounts). Familiarity with Terraform (especially Snowflake provider), DBT, Power Automate, and CI/CD pipelines (Azure DevOps or others). Experience working on greenfield builds. Asset management experience. More ❯

. Strong communication and stakeholder management skills. Preferred: Cloud certifications (AWS, etc.). Experience with API data modeling, CI/CD (GitHub Actions). Familiarity with tools like Airflow, DBT, and Atlan. DONT WAIT APPLY NOW !!! Reference: DRI/AMC/DA Postcode: SW1 4DF #dari More ❯

data leadership, ideally within fintech or cloud-native organisations (AWS preferred). Strong technical background in data engineering, analytics, or data science. Experience with modern data stacks (e.g., SQL, dbt, Airflow, Snowflake, Looker/Power BI) and AI/ML tooling (e.g., Python, MLflow, MLOps). A track record of building and managing high-performing data teams. Strategic thinking and 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 ❯

with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing: Design and build robust, automated data pipelines using Azure Data Factory, Synapse, dbt, and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI More ❯

with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing: Design and build robust, automated data pipelines using Azure Data Factory, Synapse, dbt, and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI More ❯

Strong hands-on background in data engineering, with 5+ years working on modern data platforms Experience leading cloud data migrations- GCP and BigQuery strongly preferred Proficiency in SQL, Python, dbt, Airflow, Terraform and other modern tooling Excellent understanding of data architecture, governance, and DevOps best practices Proven leadership or team management experience within a regulated or mid-to-large tech More ❯

or Scala, SQL, and Apache Spark. You're highly proficient with Databricks and Databricks Asset Bundles, and have a strong understanding of data transformation best practices. Experience with GitHub, DBT, and handling large structured and unstructured datasets is essential. You're detail-oriented, self-motivated, and able to communicate complex technical concepts clearly. Experience with media/social platform data More ❯

with large consumer marketplaces (e.g. programmatic media, travel, financial services) is a plus. Excellent problem-solving skills and a collaborative mindset. Our Tech Stack AWS (current environment) Redshift Postgres DBT Grafana PowerBI Note: The company is transitioning towards Azure for new development. Why Join Us? At Kantar, you'll be part of a global leader in data, insights, and consulting. More ❯

EXPERIENCE: The ideal Head of Data Platform will have: Extensive experience with Google Cloud Platform (GCP), particularly BigQuery Proficiency with a modern data tech stack, including SQL, Python, Airflow, dbt, Dataform, Terraform Experience in a mid-large sized company within a regulated industry, with a strong understanding of data governance. A strategic mindset, leadership skills, and a hands-on approach. More ❯

TensorFlow, Hugging Face) Proven MLOps, big data, and backend/API development experience Deep understanding of NLP and LLMs Proficient with cloud platforms (AWS/GCP/Azure), Airflow, DBT, Docker/Kubernetes Strong collaboration, problem-solving, and coding best practices Nice to have: LLM fine-tuning, streaming data, big data warehousing, open-source contributions. More ❯

Snowflake. Strong expertise in SQL and data warehousing. Hands-on experience working in the insurance industry; prior experience with L&G is an advantage. 3+ years of experience with DBT for data transformation. Deep understanding of agile methodologies in data environments. Familiarity with Power BI. More ❯

your knowledge. A key part of your role will be setting up monitoring and alerting across the platform. Experience Required: Hands-on with Data Platform tools: Snowflake (Must Have), dbt, Airflow, and Fivetran Experience implementing DataOps best practices: CI/CD, modular pipelines, automated testing, code promoting Access management using Azure Active Directory (Entra ID) Proven experience setting up monitoring More ❯

your knowledge. A key part of your role will be setting up monitoring and alerting across the platform. Experience Required: Hands-on with Data Platform tools: Snowflake (Must Have), dbt, Airflow, and Fivetran Experience implementing DataOps best practices: CI/CD, modular pipelines, automated testing, code promoting Access management using Azure Active Directory (Entra ID) Proven experience setting up monitoring More ❯

Key Technologies & Tools: Salesforce platform (Admin, Developer, and Deployment tools) Snowflake Data Cloud Git, Bitbucket, GitHub Jenkins, Azure DevOps, or GitLab CI/CD Jira, Confluence DataOps tools (e.g., dbt, Airflow) – Desirable The Ideal Candidate: Has previously built environments for large-scale IT transformation programmes Brings hands-on experience with automation and process optimisation Is highly proficient in JIRA Has More ❯