1 to 25 of 118 dbt Jobs in the UK excluding London

Analytics Developer, Data Engineer or similar role. Strong SQL skills with experience writing complex and optimised queries. Experience building and maintaining data models using dbt or similar transformation tools. Experience working with modern cloud data platforms such as Snowflake, BigQuery, Azure Synapse or Databricks. Strong understanding of ELT processes ...

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 ...

What matters is what you have built, what you can show, and how you think about problems. Nice to have: hands-on experience with dbt, Dataform or equivalent transformation and orchestration frameworks; familiarity with Terraform or equivalent infrastructure-as-code tooling; comfort with vector databases, embeddings, or semantic search ...

Skills & Experience 3+ years' experience in Data Engineering with a focus on ETL/ELT development. Strong SQL and Python programming skills. Experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Experience working with cloud platforms, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Knowledge ...

business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such as BitBucket Data Warehouse/Kimball methodology Data ...

years' experience in Data Engineering with a strong focus on ETL/ELT development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building ...

analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt). ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments ...

databases, API endpoints It would be helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance ...

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 ...

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 ...

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 ...

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 ...

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 ...

features What are we looking for: 3+ years of analytics or data engineering experience Experience modeling and transforming data using tooling such as dbt Experience with cloud data warehouses such as Snowflake or Databricks Experience in building ML features Any experience in real time streaming tools and frameworks, e.g. Apache ...

Business Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows). Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs. Expert-level skills in Requirements Engineering ...

driven projects.Relevant experience includes:• Databricks or Snowflake, ideally within AWS• Python, PySpark and SQL• ETL pipelines and data transformation• End-to-end data modelling• DBT, SparkSQL, Airflow, Git, Jenkins or similar tools• Data quality, governance and performance optimisation• Working well with technical and non-technical teamsThe senior role needs someone ...

environment, within multi-disciplinary teams, delivering modern data platforms into large organisations. Previous practical experience of using both SQL and task orchestration software (eg. dbt, Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life Strong Snowflake experience is preferred, and Databricks experience ...

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 ...

Data Warehouse and data platform architecture Dimensional data modelling RBAC, governance and data masking Monitoring, data quality and operational support Advanced SQL and Python dbt or similar transformation frameworks Along with the technical, you will also be able to showcase a clear and succinct communication style, which enables ...

practices to design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes ...

utilities, financial services, health, etc.) is advantageous. Desirable Experience with data mesh, domain-driven design, or federated data ownership models. Experience with Great Expectations, dbt tests, or enterprise DQ tooling. Knowledge of MDM, reference data management, and semantic modelling. Experience with streaming platforms (Kafka, EventHub) and API-based integration. Understanding ...

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 ...

Experience with schema versioning, contract testing, and backward‐compatibility strategies Experience building and operating data pipelines on cloud data platforms Strong working knowledge of dbt for data transformations, testing, and documentation Familiarity with Snowflake data modelling, optimisation, and cost‐aware design Understanding of data quality, lineage, and observability concepts ...

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 ...

schema versioning, contract testing, and backward‐compatibility strategies**Data Engineering*** Experience building and operating data pipelines on cloud data platforms* Strong working knowledge of **dbt** for data transformations, testing, and documentation* Familiarity with Snowflake data modelling, optimisation, and cost‐aware design* Understanding of data quality, lineage, and observability concepts**DevOps ...