1 to 25 of 50 dbt Jobs in the Thames Valley

engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology More ❯

Experience with version control (Git), testing, and code review practices Familiarity with cloud-based data environments (e.g. AWS, GCP, or Azure) Exposure to modern data tools such as Airflow, dbt, or Snowflake Experience or strong interest in streaming technologies like Apache Kafka Interest in MLOps and modern data engineering best practices Why join: You’ll be part of a company More ❯

Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management skills, able to translate technical concepts More ❯

and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage More ❯

platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private healthcare • Pension • 25 days holiday + bank holidays • Central London office & socials • Work abroad up to 1 month/year Why More ❯

Engineer (leading a team of 4). Salary: £100,000 – £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data More ❯

a scalable data pipelines with cloud-native tools in AWS or similar. Extensive experience working with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including More ❯

in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles , DevOps, and infrastructure automation. Excellent communication skills — able to collaborate across More ❯

Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales activities in a consultancy or product business. Why Join? Work with cutting-edge data and AI technology. Collaborate with passionate, high-performing More ❯

e.g. Databricks, Azure, AWS or GCP native stacks) Experience with platform observability and CI/CD for data platforms Hands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or Airflow History of supporting pre-sales activities in a product or consultancy-based business What Kubrick offers: A fast moving and fast growth business which is doing More ❯

or Dagster. Solid understanding of data warehousing, data ops, and cloud-based infrastructure. Comfortable owning end-to-end workflows, with strong problem-solving and communication skills. Experience working with dbt as an ELT Why Join? Work in a modern data environment with a high degree of autonomy and ownership. Collaborate with a passionate, fast-moving team tackling complex data challenges. More ❯

and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte or similar. Strong grasp of software development best practices and CI/CD processes. Skilled in performance tuning, testing, and automation within data engineering environments. Excellent communication skills, with More ❯

and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should be enthusiastic about learning and contributing across the stack. More ❯

this role, you will: Lead, mentor, and inspire analytics and data engineering teams, fostering technical excellence and a culture of innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and More ❯

month contract with an immediate start and scope for extension on a greenfield project. The rate available for this position is: £550-565pd outside IR35. Requirements : Databricks DBT Python PySpark SQL Azure Any ecommerce experience would also be a bonus. Please apply directly or email me your CV on Charlie.Durman@lafosse.com More ❯

month contract with an immediate start and scope for extension on a greenfield project. The rate available for this position is: £550-565pd outside IR35. Requirements : Databricks DBT Python PySpark SQL Azure Any ecommerce experience would also be a bonus. Please apply directly or email me your CV on Charlie.Durman@lafosse.com More ❯

background in data engineering – Python, SQL, and cloud platforms (GCP or Azure). Experience designing or managing data pipelines and ETL processes . Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . Good understanding of data architecture and automation . AdTech or MarTech experience would be a real plus. Confident mentoring and developing junior engineers/ More ❯

teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing data team. Tech Stack GCP | Power BI | Omni | SQL | Python | DBT | Docker Your Background Proven experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and cross-functional More ❯

end across the data pipeline – from data extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku 3+ years of experience in Data Science or Machine Learning. Strong Python & SQL skills, with experience working in cloud-based data environments. A problem-solver with a commercial More ❯

business transitions to the cloud. The company is adopting Salesforce as its SaaS platform and Snowflake as its data platform, supported by a modern data stack including Fivetran, Atlan, DBT, and Airflow. Reporting directly to the Chief Data Officer, you'll lead a team of three, covering Data Quality, Data Governance, and Data Literacy. You'll also act as a More ❯

business transitions to the cloud. The company is adopting Salesforce as its SaaS platform and Snowflake as its data platform, supported by a modern data stack including Fivetran, Atlan, DBT, and Airflow. Reporting directly to the Chief Data Officer, you'll lead a team of three, covering Data Quality, Data Governance, and Data Literacy. You'll also act as a More ❯

TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms, CRMs). Proven ability to manage or mentor junior team members, providing technical More ❯

ensuring clean, production-grade code. What We’re Looking For 2–3+ years’ experience as a Data Engineer or similar. Strong background with the modern data stack (e.g. Airbyte, dbt, BigQuery, Dagster, or equivalents). Skilled in SQL, data modelling, and pipeline orchestration. Analytical, pragmatic, and product-minded — focused on delivering impact. Comfortable in a fast-paced, collaborative, and evolving More ❯

domain and driving clarity from data What We’re Looking For 5+ years of analytics experience, ideally in digital or performance marketing Advanced SQL and experience with tools like DBT or Airflow Hands-on experience with marketing analytics tools (GA, Amplitude, Optimizely, etc.) Confident running A/B tests , building attribution models, and defining marketing KPIs Skilled with visualisation platforms More ❯

SKILLS AND EXPERIENCE Proven experience leading data strategy and platform development within a complex, multi-stakeholder environment. Strong technical grounding across: GCP SQL and Python Power BI or Omni DBT and Docker (preferred) Excellent stakeholder management and communication skills. Experience with web and app event tracking, and delivering predictive analytics projects. Leadership background with experience growing and managing data teams. More ❯