1 to 25 of 61 Permanent dbt Jobs in the UK excluding London

solid understanding of ETL pipelines and data transformation Proven experience in data modelling (end-to-end), including performance optimisation using tools such as DBT and distributed processing frameworks like SparkSQL Experience with CI/CD, version control (e.g. Git, Jenkins) and pipeline orchestration tools such as Airflow A collaborative mindset ...

data governance, security and access control Experience designing scalable analytics and reporting solutions Nice to Have Medallion Architecture or Lakehouse experience Azure Data Factory, dbt or Prefect DataSecOps and cloud security experience AI/ML data preparation knowledge Experience leading technical projects or mentoring engineers You'll Thrive Here ...

refactoring and optimising complex logic Hands-on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/CD pipelines, and Python for automation Solid understanding of star schemas ...

Advanced SQL skills within modern data platforms such as Snowflake, BigQuery, or Databricks Experience building and automating data pipelines and workflows Working knowledge of dbt for data transformation Proficiency in Python for data manipulation or engineering tasks Experience delivering data to BI tools such as Power BI or similar platforms ...

insight Advanced SQL skills within modern data platforms such as Snowflake, Databricks, or BigQuery Experience building and automating data pipelines and transformations Familiarity with dbt for data modelling and transformation workflows Working knowledge of Python for data processing Experience supporting BI tools such as Power BI or similar platforms Understanding ...

experience working with modern cloud data platforms such as Databricks, Snowflake, or BigQuery. Experience building and automating data pipelines and transformation processes. Familiarity with dbt (Cloud or Core). Working knowledge of Python. Experience delivering data to Power BI or another modern BI platform. Strong stakeholder engagement skills ...

Power Query, Tableau, Looker/LookML, Qlik or equivalent) Solid grasp of dimensional modelling, semantic layers and reporting layer design Familiarity with ELT tools (dbt, ADF, Fivetran, Matillion or similar) Comfortable with Git-based workflows and BI deployment pipelines Working knowledge of Python or R for data preparation and automation ...

years’ experience as a Data Engineer with a strong focus on ETL/ELT. • Advanced SQL and Python development skills. • Hands-on experience with DBT, GIT, Terraform, Docker, IAM, and Airflow (Composer). • Proven experience working on cloud platforms – ideally GCP (BigQuery), but Azure or AWS also considered. • Strong understanding ...

Hands-on experience with Google Cloud Platform is highly preferred, with consideration for AWS or Azure alongside some GCP Experience with Terraform, Docker and dbt Strong expertise in Data Lake/Data Warehouse solutions Advanced SQL and Python skills Proven experience optimising complex queries Strong understanding of Data Governance, including ...

architectures Performance tuning and cost optimisation in cloud data platforms Experience with data quality, observability and data contracts Nice to have (but not essential): dbt, Snowflake or similar analytics engineering tooling Experience supporting ML or advanced analytics workloads Exposure to data mesh or domain-oriented data platforms What ...

data warehouses such as Snowflake, BigQuery or similar Solid understanding of dimensional modelling and data warehousing concepts Exposure to data transformation tools such as DBT is beneficial Basic knowledge of Python, ideally in the context of orchestration tools like Airflow Confident communication skills and the ability to work effectively ...

organisation What We're Looking For Strong SQL and production-level Python experience Experience with cloud data platforms and data modelling tools (e.g. dbt) Solid understanding of ELT pipelines and data engineering principles Strong analytical thinking and problem-solving skills Excellent communication and stakeholder management Why Join? Opportunity to build ...

Solid hands on Data Engineering experience Advanced SQL and Python Strong experience with AWS and modern warehousing tech - Redshift in particular Experience with dbt or similar transformation tooling A good understanding of data modelling, governance and semantic layer design Experience with agentic AI or AI-assisted tooling within data workflows ...

end. Solid dimensional/analytical data modelling Experience integrating messy external APIs and bulk datasets Strong Postgres Experience with a transformation framework ( dbt or SQLMesh ) and an orchestrator ( Dagster , Airflow, Prefect, or similar). Modern Python data tooling; DuckDB for analytical compute. Financial Services/Wealth domain would be ideal ...

Fabric. Comfortable engaging directly with stakeholders, taking ownership of technical decisions, and contributing to the broader data strategy. Essential SQL PySpark/Python DBT Azure knowledge (i.e. Logic apps) Power BI/Fabric Semantic Models Ability to work with stakeholders with their own operational pressures. Able to follow best practices ...

standards, and effective stakeholder engagement. Desirable Qualifications Advanced architectures: Data mesh, data fabric, real-time/event-driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics expertise: BI tools ...

schemas, etc.) Experience building transformation layers in ELT environments Track record of delivering in hands-on roles (not purely architectural) Highly Desirable Experience with dbt or similar transformation frameworks Familiarity with modern data stack principles Experience implementing testing and data quality frameworks Exposure to CI/CD in data environments ...

warehouse or lakehouse—dimensional, Data Vault, One Big Table or domain-driven approaches, fit to the use case Build and maintain transformation layers in dbt (or equivalent), with appropriate testing, documentation and lineage Operate orchestration tooling (Airflow, Dagster, Prefect or equivalent) and the workflows around it Manage cloud data warehouses … performance tuning and warehouse-specific dialect Strong Python skills (or Scala/Java where relevant) for pipeline development and tooling Hands-on experience with dbt or equivalent transformation tooling Orchestration experience (Airflow, Dagster, Prefect or equivalent) Production experience with at least one major cloud warehouse/lakehouse (Snowflake, BigQuery, Redshift ...

someone who enjoys both developing high-quality data solutions and supporting others. Key Responsibilities: Build and maintain scalable ETL/ELT pipelines using Snowflake, dbt, and SQL Transform complex data into structured, analytics-ready datasets Develop and optimise Snowflake components (tasks, streams, stages, dynamic tables) Monitor and improve data quality … hiring and best practices Requirements: Strong SQL skills (joins, CTEs, window functions, optimisation) Experience working with Snowflake in a production environment Knowledge of dbt (models, testing, documentation) Experience building pipelines in a cloud-based data environment Python (or similar) for scripting and automation Understanding of data warehouse architectures (e.g. medallion ...

insight generation, and future AI/ML initiatives across the business. What You'll Do * Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. * Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features. * Ensure Data Quality: Apply governance, security … define standards for naming, schema design, and development processes. What you'll need to succeed Strong hands-on experience with Snowflake, SQL, Python, and Dbt Solid understanding of data modelling, data governance, and cloud platforms (AWS preferred) Experience supporting analytics using BI tools such as Power BI Familiarity with data ...

Experience** Proven experience leading large-scale data engineering organizations in complex, federated or matrixed environments Strong hands-on and architectural experience with Snowflake/dbt/Airflow, including performance optimization, data modelling, and cost managementExperience designing and operationalizing data governance frameworks in a federated or data mesh environment with self ...

stakeholder management skills — able to influence at Director and C‐suite level Experience in e‐commerce, retail or consumer goods Familiarity with Dataform, dbt or equivalent transformation frameworks Experience with data cataloguing or governance tooling (Collibra, Alation, DataHub or equivalent) Exposure to ML/AI platform requirements — understanding what good ...

marketing data and performance insights What We're Looking For Strong background in data analytics Advanced SQL skills and experience building data pipelines (e.g. DBT, Airflow) Experience with marketing analytics tools (e.g. Google Analytics, GTM, Braze, Appsflyer, Firebase) Proven experience running A/B tests and defining KPIs and attribution ...

Iceberg or similar table formats, as well as batch and streaming processing Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog), with DBT or AI-assisted engineering practices as a plus Additional Information Your benefits Werea community here that cares as much about your life outside work ...

Experience Strong commercial experience in analytics within a marketing or digital environment Advanced SQL skills and experience building data pipelines with tools such as DBT or Airflow Experience with marketing analytics platforms such as Google Analytics, GTM, Braze, Appsflyer, or Firebase Strong understanding of experimentation, A B testing, and attribution ...