18 of 18 dbt Jobs in the Thames Valley

of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for fraud detection Excellent attention to detail to ensure quality of project delivery for More ❯

of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for fraud detection Excellent attention to detail to ensure quality of project delivery for More ❯

senior levels. Entrepreneurial mindset with a bias for action and delivery. Desirable but not essential: Sector experience in advertising, media, or technology. Familiarity with tools such as Power BI, dbt, Snowflake, Python/R, and cloud platforms (Azure preferred). Experience with financial modelling, forecasting, and operational analytics. VCCP DE&I Statement We believe that DE&I is about creating More ❯

the autonomy to innovate and set the gold standard for analytics engineering in the organisation. Tech Stack & Responsibilities 📊 90% SQL-focused work with Python for custom tooling & ingestion workflows 📈 dbt for transformations & data modelling to create analytics-ready datasets 🔄 Building and maintaining reliable, scalable ELT pipelines 📊 Designing and implementing data models optimised for self-service and ML use case What 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

TO THE TEAM You bring a deep understanding of how to transform raw data into clean, reliable and analysis-ready datasets. You’re fluent in SQL and experienced with DBT, with a strong appreciation for scalable, well-structured models that encode business logic clearly and consistently. You think analytically and work methodically ensuring your transformations enable reporting, analytics and activation … use cases with confidence. YOUR NEXT CHALLENGE As an Analytics Engineer at Medialab, you will: Design, build and maintain data models within our DBT codebase, transforming raw data into clean, tested, and documented datasets ready for analytics and activation. Onboard new data feeds, working closely with business and technical stakeholders to understand requirements and ensure smooth integration into our pipelines. … Support users and team members, sharing knowledge and solving problems effectively. Must Have Skills SQL – proficient; confident in writing performant, well-structured SQL with full understanding of ANSI standards. DBT – strong working knowledge; experienced in building, testing, and documenting models as the central tool for transformation and semantic modelling. Python – some experience; able to use and adapt scripts and tooling More ❯

Define and uphold data quality, security, and governance standards. Collaborate with teams to establish KPIs and core business metrics. Innovation & Future Tools (10%) Explore and implement new tools (e.g. dbt, Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics … similar). Strong grasp of data governance, quality assurance, and security best practices. Bonus: Experience with Microsoft Fabric, cloud data warehouses (Azure, Snowflake, BigQuery, Redshift), or orchestration tools like dbt or Airflow. Collaboration & Communication Ability to communicate technical insights clearly to non-technical audiences. Experience partnering with leadership and cross-functional teams. Mindset & Growth A proactive self-starter who thrives More ❯

join their growing data function. They're looking for a Power BI SME who has a real passion for driving analytics and insights. They have a stack of Snowflake, dbt, Python & Power BI. They're looking for someone who has end-to-end analytics experience and a genuine drive for data analytics and the impact it has on business performance. … coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please apply if this sounds like you More ❯

data. What you’ll be doing: Partnering with Performance & Influencer Marketing teams to measure spend, CAC, LTV, and campaign effectiveness Building dashboards and reports in ThoughtSpot Using SQL and dbt to model new data sources and improve reporting accuracy Supporting attribution modelling, A/B test reporting, customer segmentation, and LTV analysis Working cross-functionally to integrate new tools, streamline … influencer processes, and improve marketing workflows Requirements: Strong SQL (complex joins, CTEs, window functions) Experience with dbt, data visualisation (ThoughtSpot a bonus), GA4, Google Ads, Meta, Klaviyo Exposure to Snowflake, BigQuery, or Shopify is a plus A self-starter who enjoys problem-solving and making data accessible for non-technical teams Package & Setup: £55,000 salary Hybrid: 2 days per More ❯

immediate and long-term effects on customer spend and retention. SQL Data Extraction & Manipulation – Pull, join, and transform data from Snowflake and other sources, working with data marts and dbt models. Data Visualisation – Create clear, compelling Tableau dashboards and reports for stakeholders at all levels. Marketing KPI Tracking – Support the marketing team in measuring key performance metrics (e.g., acquisition cost … interpreting data. Skills and Experience Experience in data analytics roles, ideally in marketing, growth, or e-commerce environments. Advanced SQL skills for data extraction and manipulation. Experience with Snowflake, dbt, and Tableau (or similar visualisation tools). A strong statistical foundation and ability to apply the right analytical methods. Understanding of marketing metrics such as CAC, LTV, retention, and channel More ❯

of the most well-funded and exciting InsurTech scale-ups in the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured … standards and best practices Communicate findings and recommendations clearly across technical and non-technical stakeholders SKILLS AND EXPERIENCE Required: 3+ years in an Analytics Engineering role Solid experience with DBT or similar modern modelling tools Advanced SQL skills and hands-on Snowflake experience Strong understanding of ETL concepts and building scalable pipelines Good communication skills — able to collaborate across functions More ❯