25 of 25 Permanent 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 ❯

Proficient in analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations. Deep experience with modern ELT workflows and transformation tools (e.g., dbt, custom SQL models, etc). Strong ability to debug and optimize slow or failing data pipelines and queries Familiarity with distributed systems (e.g., Spark, Kafka) and how they support scalable More ❯

databases such as PostgreSQL, DynamoDB, or OpenSearch. -Problem-Solver: Comfortable working in Linux environments and confident debugging logs, scripts, and production issues. -Additional Skills: Exposure to Kafka, Spark, or dbt Core, with an interest in domain-driven data contracts. Meet Citywire We cover - and connect - all sides of the $100 trillion global asset management industry - through our news, events and 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 ❯

have the following skills and experience: Strong expertise with Python and SQL Proven experience with AWS , Snowflake , and Airflow (or similar orchestration tools) Hands-on experience with Spark and dbt for scalable data processing Experience in Terraform and Kafka Track record of leading or mentoring data engineering teams Background in a startup or scale-up environment, comfortable working end-to More ❯

Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks (e.g., GDPR). Hands-on understanding of Python, SQL, and modern data engineering tools (e.g., Airflow, DBT, Atlan). Exceptional consulting and stakeholder management skills. Career experience within leading consultancies or SIs (e.g., IBM, Thoughtworks, EY, Capgemini). 🎁 What’s on Offer £125,000 – £145,000 base More ❯

commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a 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 ❯

actions and access metrics that matter. Responsibilities Build and maintain Data models and Products that power critical dashboards, processes and reporting tools. Help manage and optimize data pipelines in dbt & Snowflake, our primary data warehouse. Collaborate with analysts and business stakeholders to understand their data needs and design intuitive, self-serve solutions. Design and maintain dashboards in Sigma that empower More ❯

Points): Proven experience in recommender systems, behavioural AI, and/or reinforcement learning. Building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). PhD in Computer Science, Machine Learning, or a closely related field What We Offer: Opportunity to build technology that will transform millions of shopping experiences Real ownership and impact More ❯

relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build Tool) for building modular, version-controlled, and testable data transformation workflows, with a strong understanding of modeling best practices and deployment strategies. Solid knowledge of infrastructure as code using AWS 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 ❯

Curate and maintain a central “Insights Hub” to share learnings across the business Your Background We’re looking for someone with: Strong experience in product analytics Strong SQL and DBT skills Proficiency in Python (preferred) Proven ability to engage stakeholders, present insights, and influence product strategy This is a chance to join a mission-led tech company at a pivotal More ❯

I’m looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings: Strong SQL Python/R experience preferrable Experience with dbt and modern data stacks a bonus A proven ability to turn data into actionable insights and communicate them clearly to stakeholders Experience in a B2C or consumer tech environment, ideally More ❯

testing and experimentation frameworks . Strong storytelling and communication skills – you make data insights accessible to everyone. Familiarity with BI tools such as Looker or Tableau (bonus points for dbt experience). What’s On Offer Competitive salary and generous stock options scheme. 30 days annual leave + UK bank holidays, plus office closure over Christmas. Enhanced family leave policies More ❯

data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just love working with great, fun people, there are some obvious required Skills … Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and networking. • Exposure to Apache Airflow and DBT is a bonus. • Familiarity with agile principles and practices. • Experience with Azure DevOps pipelines. The "Nice to Haves": • Certification in Azure or related technologies. • Experience with other cloud platforms (e.g. 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 ❯

hands-on technically/40% hands-off leadership and strategy Proven experience designing scalable data architectures and pipelines Strong Python, SQL, and experience with tools such as Airflow, dbt, and Spark Cloud expertise (AWS preferred), with Docker/Terraform A track record of delivering in fast-paced, scale-up environments Nice to have: Experience with streaming pipelines, MLOps, or modern … product innovation at scale. Apply today or get in touch for more details. Desired Skills and Experience Python, SQL, AWS, Amazon Web Services, CI/CD, Docker, Terraform, Airflow, DBT 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 ❯

SQL (there will be a short SQL test as part of the interview process) BI/Analytical skills gained through projects, research or early career experience Data Build Tool (DBT) - is a plus Exposure to Python, R or other relevant tools/languages - is a plus About you: Growth mindset A confident and able communicator Intellectual curiosity and proactivity in More ❯

join a forward-thinking team working with cutting-edge technologies in a collaborative and inclusive environment. Key Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake, Azure Synapse, DBT, and Azure DevOps Ensure solutions are GDPR-compliant and aligned with business and technical requirements Lead Agile delivery within Scrum teams, translating user stories into actionable engineering tasks Collaborate with … and excellence Ideal Candidate Profile Proven experience in data engineering, including ELT/ETL, data integration, and data warehousing Hands-on expertise with Snowflake, Azure Synapse/Data Factory, DBT Cloud, and Azure DevOps Familiarity with cloud platforms, streaming technologies, and dimensional data modelling (Kimball) Strong understanding of Agile methodologies (Scrum/Kanban) and DevOps/DataOps principles Excellent communication More ❯

API Engineer (Python, FastAPIs) - 2/3 days a week in London numi are proud to be partnered with a technology company on a mission to make supply chains transparent and sustainable. They use earth observation and environmental monitoring to More ❯

customer acquisition, retention, and lifetime value (LTV) Evaluate promotional campaigns and experiments for short- and long-term impact Extract, join, and manipulate data from Snowflake using advanced SQL and dbt models Build clear, engaging Tableau dashboards and reports Track and optimise marketing KPIs such as CAC, retention rates, and channel ROI Spot trends, anomalies, and opportunities proactively Enable stakeholders to … and insights effectively Requirements 5+ years’ experience in data analytics, ideally in marketing, growth, or e-commerce Advanced SQL skills for complex data extraction and manipulation Experience with Snowflake, dbt, and Tableau (or similar visualisation tools) Strong understanding of marketing metrics such as CAC, LTV, retention, and ROI Ability to work independently and deliver clear, actionable insights Excellent communication skills More ❯

in their data function. The Role Sitting within a newly-formed Analytics Engineering function, this role is ideal for someone who enjoys end-to-end ownership, from designing clean dbt models to working closely with business stakeholders. You'll help shape the way data is modelled, documented, and served across the business, working with a modern stack and high-impact … teams. Key responsibilities in the role Build and maintain robust dbt models within the Snowflake data warehouse Design scalable solutions that translate business questions into reliable datasets Collaborate with teams across product, ops, marketing, and finance Improve data quality, documentation, and platform reliability Integrate data from key third-party sources Support self-serve analytics through Looker What They’re Looking … For Previous experience in an analytics engineering role (or similar) Strong experience with SQL, dbt, and Snowflake Someone just as confident building models as they are shaping best practices Comfortable in ambiguity and proactive about making things better Bonus if you’ve worked in insurance or fintech, but not essential Why Apply This is a high-impact role where you More ❯