126 to 150 of 195 Remote/Hybrid dbt Jobs

defined area of the data platform, lead end-to-end delivery and mentor engineers. The role focuses on robust ingestion and transformation using Snowflake, dbt and Azure, within a distributed leadership model. You will collaborate with product owners, architects and third-party suppliers to deliver scalable data solutions that ...

Senior Data Engineer focused on data modelling. You will translate guest, bookings, and revenue processes into clear, domain-aligned dimensional models and build the dbt layer to deliver trusted business truths. You will design robust data models using Kimball methodology, ensure data quality and documentation, and collaborate across squads ...

statistical concepts Ability to communicate insights clearly Nice to Have Python or R for analysis Experience with event tracking (Amplitude, Mixpanel) Knowledge of dbt or data modeling Background in marketplace analytics Benefits Competitive salary with equity options. Flexible hybrid working arrangement. 25 days annual leave + bank holidays. Learning ...

cross-functionally with non-technical stakeholders to understand data requirements Expert knowledge of SQL to query, analysis and model data Experience with Snowflake Using DBT for data transforms and modelling Data ingestion using Python Build foundations for business functions to be able to access the correct data and insights Experience ...

data modelling, warehousing, and analytics best practices. Strong communication skills with the ability to explain technical findings clearly. Nice to Have: Experience with dbt or similar data modelling frameworks. Exposure to event‐based analytics and user behaviour tracking. Understanding of machine learning models and techniques. Experience in a start ...

modern data stack and transform complex data into actionable insights. You will collaborate with cross-functional teams, model data workflows, and develop dbt models against BigQuery to enable data-driven decisions. You will implement rigorous testing, CI/CD, and documentation while leveraging AI tools to accelerate development and ensure ...

. Rate: £650 - £750 Location: Hybrid – 2/3 days per week on-site Contract: 6 months | Outside IR35 Key Skills: Data Lakehouse PySpark DBT Iceberg AWS Strong data engineering and pipeline development experience You’ll be responsible for designing, building and optimising scalable data pipelines and lakehouse solutions within ...

shared platform capabilities for data ingestion, transformation, orchestration, and processing across batch and real-time workloads. Own the integration strategy across tools such as dbt, Spark and Beam Lead the implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics … excellence, and supporting others Hands on experience transitioning to an AI-native Data Engineering landscape A strong Python and SQL engineer with experience using dbt, Spark and Terraform Strong experience working with GCP (or a comparable cloud platform), Infrastructure as Code, and CI/CD practices. Deep understanding of data ...

small team. Successful candidates will bring experience with Google Cloud, our strategic technology partner, along with modern data stack technologies such as dbt, Looker, Fivetran, Segment and Cube. Ideally you'll already have a relevant Google Cloud Certification (Data Engineer is preferred) or be committed to obtaining that certification within … cloud and database infrastructure using tools such as Google Cloud, Google BigQuery and Google Cloud SQL Transforming and modelling data using tools such as dbt, Dataform and Cube Developing dashboards, explorations and data visualisations using tools such as Looker, Preset, Power BI and Superset Developing test plans and testing data ...

operationalisation. How You'll Make An Impact Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self-serve analytics Work closely with data analysts … software development lifecycle in analytics (e.g. version control, testing, and CI/CD) Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure Passionate about sales, finance, customer, marketing and/ ...

Platform, and Product Engineering teams, and drive reliable ingestion, modelling, and orchestration to support data-driven features for customers globally. You will design dbt models and semantic layers, own Dagster orchestration, onboard new data sources at scale, and advance self-serve analytics with agentic workflows and #J-18808-Ljbffr ...

such as dimensional modelling, Kimball, or Data Vault Exposure to modern cloud data platforms, ideally within the Microsoft ecosystem Familiarity with tools such as DBT, Python, or PySpark is beneficial Experience working in data transformation or modernisation programmes Understanding of architecture principles or a clear interest in developing into ...

such as dimensional modelling, Kimball, or Data Vault Exposure to modern cloud data platforms, ideally within the Microsoft ecosystem Familiarity with tools such as DBT, Python, or PySpark is beneficial Experience working in data transformation or modernisation programmes Understanding of architecture principles or a clear interest in developing into ...

business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on. You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually … trade‐off: more ownership and visibility, less process and hand‐holding. Lives in the tools, not in email chains. You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs. Can point to things they’ve actually built and shipped , not just designs or concepts ...

solutions Present recommendations to senior stakeholders Support data migration, integration, and transformation projects Contribute to architecture and tooling decisions Tech stack includes SQL, Python, dbt, Databricks, BigQuery, AWS, Azure, Looker, APIs, Git, and React. Your Skills & Experience Strong commercial experience in Data Engineering, Analytics Engineering, or BI Excellent … dbt skills Experience building production-grade data pipelines Strong data modelling and cloud platform knowledge Experience with tools such as Databricks, BigQuery, AWS, or Azure Strong stakeholder management and communication skills Comfortable working directly with senior business stakeholders Experience mentoring or leading others STEM degree from a Russell Group university ...

business stakeholders to build scalable, reliable and well-governed data products that drive decision-making and customer value. The core data stack includes Snowflake, dbt, AWS and Tableau , and they are investing heavily in creating trusted, observable and AI-ready data capabilities. Key Responsibilities Build and enhance data pipelines, models … platform and business transformation initiatives Skills & Experience Strong Data Engineering experience with advanced SQL and data modelling skills Hands-on experience with Snowflake Strong dbt (or equivalent modern data transformation tooling) experience Proven cloud data engineering experience, AWS is essential Experience building production-grade data pipelines and data products Strong ...

contribute wherever your expertise can have the greatest impact. Our application data lives primarily in CockroachDB, with a modern data platform built around BigQuery, dbt, Airflow and pub/sub. Data flows both ways: into analytics and modelling, and back into the products our customers use. That culture translates into … working beyond a narrowly defined specialism when that is what the problem requires. Experience that will set you apart Experience with BigQuery, Airflow and dbt, or equivalent modern data technologies. Experience with CockroachDB, Postgres or other distributed/relational databases, including CDC or event-driven data pipelines. Knowledge of data ...

shape enterprise-wide engineering strategy and lead the delivery of complex, business-critical data solutions. Working across multiple teams and technologies, including Databricks, dbt, Azure, Python, and SQL, you will drive the modernisation, simplification, and automation of our data landscape while ensuring solutions are secure, resilient, scalable, and aligned … good of society You will bring significant experience in data engineering and modern cloud data platforms, including technologies such as Databricks, dbt, and Azure, together with a proven track record of designing and delivering large‐scale, production‐grade data solutions. You will possess strong technical expertise in Python, SQL, software ...

shape enterprise-wide engineering strategy and lead the delivery of complex, business-critical data solutions. Working across multiple teams and technologies, including Databricks, dbt, Azure, Python, and SQL, you will drive the modernisation, simplification, and automation of our data landscape while ensuring solutions are secure, resilient, scalable, and aligned … good of society You will bring significant experience in data engineering and modern cloud data platforms, including technologies such as Databricks, dbt, and Azure, together with a proven track record of designing and delivering large‐scale, production‐grade data solutions. You will possess strong technical expertise in Python, SQL, software ...

operationalisation. How You’ll Make An Impact Design and implement high‐performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self‐serve analytics Work closely with data analysts … software development lifecycle in analytics (e.g. version control, testing, and CI/CD) Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure Passionate about sales, finance, customer, marketing and/ ...

Kubernetes, CI/CD, and cloud‐native environments (AWS). Experience building and running production data pipelines and the tooling around them (e.g. Airflow, dbt, a cloud data warehouse). Strong coding skills (e.g. Python, Go or TypeScript) and a desire to stay hands‐on. Shown the ability … without help. Grow our data ops capability: reliable, observable and well‐tested data pipelines across orchestration, transformation and the warehouse (e.g. Airflow, dbt, Redshift), with self‐service ways for engineers to publish and use data. Build data quality, lineage and monitoring into the pipelines rather than bolting them on afterwards. ...

products as well as delivering ad-hoc insight that tells the story behind the numbers. You'll work with a modern analytics stack (Snowflake, dbt, Power BI) from our HQ in Shoreham-by-Sea, with the flexibility to work from home two days a week (Wednesday and Friday). What … analytics and visualisation tools (Power BI preferred) Nice to have Experience with star schema and multi-dimensional data modelling Proficiency in Python Experience with dbt and/or Snowflake Let's connect. Let's grow. #J-18808-Ljbffr ...

Data Scientists to migrate and validate PySpark-based use cases during the September–December window. Ideal candidates will bring Snowflake expertise, PySpark experience, and DBT knowledge. #J-18808-Ljbffr ...

Senior/Lead Analytics Engineer to raise the modelling maturity across domains. You will own and deliver complex modelling challenges, shape best practices for dbt and governance, and mentor teams while partnering with product and domain owners to ensure scalable data products. You will drive the data mesh alignment, optimise ...

move faster. You will be responsible for the end-to-end lifecycle of a data product: from identifying a business need to building the dbt models and ensuring that transformed data is accessible where it’s needed most. Key Responsibilities Ownership of the Modern Data Stack (dbt & BigQuery … lead developer for our dbt project. Build performant, modular, and well-tested models that turn data into a reliable “Source of Truth.” Apply software engineering rigor to the data stack: version control (Git), documentation, unit testing, and CI/CD. Partner with business leads across the company to identify manual ...