10 of 10 Remote/Hybrid dbt Jobs in Westminster

Excellent proficiency in data manipulation languages, particularly SQL, and able to write complex queries and repeatable stored procedures. Experience in low-code solutions like DBT is highly desirable Data storytelling and able to condense complex analytics into clear narratives and actions for a range of technical and non-technical stakeholders ...

skills. Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas. You have experience with SQL, python/R, dbt (ideally) and building data pipelines. You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple ...

strong technical skillset, especially advanced SQL proficiency to handle complex data manipulation in a modern data warehouse (like Snowflake). Experience with data modeling (dbt) and visualisation tools to create insightful and easy-to-digest dashboards and reports. Proficient with a programming language such as Python or R for data ...

role in building and maintaining core datasets, ensuring data quality and accessibility. Tooling Evangelist: Become the go-to expert for new tooling like dbt & AI applications, leading its adoption and successful rollout across the organization. Best Practices Driver: Strategically assess and implement data modelling best practices within your squad, elevating ...

cost-effectiveness of our transformation pipeline over time. Our modern data stack You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude. What we're looking for We’re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically ...

Job Description hackajob is collaborating with Tesco to connect them with exceptional professionals for this role. All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description. ...

Delivery: Own the lifecycle of data science projects from discovery to deployment. Work as part of a cross functional team leveraging Python, dbt, and GCP (Vertex AI, BigQuery) to build robust pipelines. · Stakeholder Collaboration: Partner closely with Network stakeholder to translate complex commercial constraints into data science problems ...

doing Owning and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting. Driving the development of our dbt models and transformation layer, working with analysts and stakeholders to improve the speed and quality of insight generation. Helping define good modelling patterns, architecture, and implementation standards … support the requirements of a rapidly growing business. Our modern data stack You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude. What we're looking for We’re looking for someone with strong analytics engineering fundamentals and the ability to apply them pragmatically ...

scalability, and maintainability. You'll be supported by experienced engineers and given the space to grow — picking up new skills, deepening your SQL and dbt knowledge, and building confidence across a modern data stack. What you'll be doing Contributing to the data models that support credit decisions, origination, portfolio … analysis, and investor reporting. Building and improving dbt models and transformations, guided by senior engineers and in close collaboration with analysts and stakeholders. Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to help ensure data is modelled and used effectively. Identifying opportunities ...

scalability, and maintainability. You'll be supported by experienced engineers and given the space to grow — picking up new skills, deepening your SQL and dbt knowledge, and building confidence across a modern data stack. What you'll be doing Contributing to the data models that support credit decisions, origination, portfolio … analysis, and investor reporting. Building and improving dbt models and transformations, guided by senior engineers and in close collaboration with analysts and stakeholders. Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to help ensure data is modelled and used effectively. Identifying opportunities ...