26 to 50 of 159 dbt Jobs in the UK excluding London

Server, with advanced SQL skills for validating complex datasets. Experience developing automated testing and quality engineering solutions using tools such as Python, dbt, Great Expectations or similar frameworks. Understanding of modern Agile, DevOps and CI/CD practices, including the use of AI-assisted testing and engineering tools. Excellent stakeholder ...

Ability to collaborate effectively with technical and non-technical stakeholders Experience with Unity Catalog, MLflow or Databricks Asset Bundles would be advantageous Knowledge of dbt, Kafka, Event Hubs or other data transformation and streaming technologies would be beneficial Desirable Experience: Databricks certifications Experience working with retail or consumer packaged goods ...

while exploring how Agentic AI is transforming data engineering. What we're looking for: 24 years' experience in data engineering Strong SQL, Python and DBT skills Experience with AWS and/or Databricks Experience building ETL/ELT pipelines and data warehouses Knowledge of AWS services such as S3, Lambda ...

Требования Experience with cloud data warehousing solutions such as Snowflake, Amazon Redshift, or AWS Understanding of data integration processes and tools such as Databricks, DBT, or Glue Ability to design data models aligned with ETL pipelines Understanding of data management standards, regulatory compliance including GDPR and HIPAA, and security protocols ...

source and public cloud technologies. Strong experience with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL). Knowledge of event‐driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams ...

manage stakeholder expectations. Awareness of data governance, data ethics, privacy and secure handling of data. Desirable skills and experience Experience with Python, R, dbt, cloud data platforms or ETL/ELT workflows. Experience leading small analytical workstreams or mentoring junior analysts. Experience working in Agile product, digital transformation or client ...

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 ...

build, and support scalable data pipelines powering Moody’s next-generation digital content platform. You will develop data workflows using Databricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS to turn diverse data sources into reliable analytics. You will collaborate with cross-functional teams and mentor peers to improve ...

practical understanding of how data becomes trusted business value Hands-on experience designing and delivering data engineering solutions on AW Strong SQL, dbt and Python skills, with experience building scalable pipelines, transformations and reusable dataset Good understanding of lakehouse architecture, medallion patterns, data modelling, data quality and data governanc ...

practical understanding of how data becomes trusted business value Hands-on experience designing and delivering data engineering solutions on AW Strong SQL, dbt and Python skills, with experience building scalable pipelines, transformations and reusable dataset Good understanding of lakehouse architecture, medallion patterns, data modelling, data quality and data governanc ...

development. Experience with PySpark, Polars or Dask is also valuable. Python, including testing, build tooling and engineering best practices. SQL, including Snowflake‐optimised SQL. dbt, including Jinja templating, or equivalent transformation frameworks. CI/CD, ideally with GitHub Actions, TeamCity or Artifactory. Agile software/data engineering environments and modern ...

PostgreSQL, DuckDB). Experience with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical ...

improve data integrity, reliability and quality . Experience with automated validation approaches using SQL/Python or technologies such as Great Expectations or dbt tests would be particularly relevant. Alongside hands-on delivery, you will have the opportunity to influence engineering standards, contribute to platform improvements and share your expertise ...

modern data stack. We are building on Databricks, so experience there or with an equivalent lakehouse or warehouse, plus a transformation framework such as dbt and strong Python, is what we are looking for. Demonstrated fluency with AI automation tooling: using LLMs and agents to integrate systems, accelerate delivery ...

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 ...

Strong hands-on experience with GCP or a comparable cloud data engineering platform. Advanced practical experience with dbt, Python and SQL. Solid data modelling and ETL/ELT design skills. Experience delivering data products end-to-end, not just individual pipeline components. Exposure to MDM concepts and/or integration ...

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 ...

drive better decisions, faster action, and a culture where data powers possibilities. A Few Things About You Proficient with ETL processes (SSIS, AWS Glue, DBT) and BI tools (Power BI, Sigma, etc.) Skilled in data modelling and modern data platforms (Snowflake, Databricks, etc.) Excellent SQL and database knowledge Passionate about ...

Blackpool, United Kingdom | Posted on 18/09/2026 Scrumconnect Consulting is a multi-award-winning UK public sector digital consultancy, positively influencing the lives of over forty million UK citizens. We bring deep ...

data engineer in the United Kingdom to design and deliver data solutions using cloud platforms, with emphasis on GCP or similar. You will apply dbt, Python and SQL to build robust data models, ETL/ELT pipelines, and data products end-to-end, ensuring data quality and governance. You should ...

modelling Experience with Airflow and infrastructure as a code (Terraform, CloudFormation) would be beneficial Must have experience with Redshift Nice to have: Experience with dbt/lake formation One or more AWS Certifications #J-18808-Ljbffr ...

modelling - Experience with Airflow and infrastructure as a code (Terraform, CloudFormation) would be beneficial - Must have experience with Redshift Nice to have: - Experience with dbt/lake formation - One or more AWS Certifications Applications are now open! - Reach out to Adam Akhtar at Opus for further information. ...

modern data stack. We are building on Databricks, so experience there or with an equivalent lakehouse or warehouse, plus a transformation framework such as dbt and strong Python, is what we are looking for. Demonstrated fluency with AI automation tooling: using LLMs and agents to integrate systems, accelerate delivery ...

000. Hybrid working arrangement based in Sheffield. Opportunity to influence product and business strategy through data. Exposure to modern technologies including Snowflake, dbt, Python, and leading BI tools. A collaborative environment with strong cross-functional partnership. Clear opportunities for professional development and career progression as the data function continues ...

business structures, stores or consumes its data Deep understanding of data modelling, pipeline design and distributed data architecture Experience with Dataform or dbt for data transformation Demonstrated use of AI in data engineering – AI-assisted pipeline development, automated quality checks, or similar practical applications Experience mentoring and developing engineers Experience ...