1 to 25 of 198 Remote/Hybrid dbt Jobs in England

Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise-scale ETL/ELT, batch and streaming patterns Transformation and quality: dbt, Great Expectations and equivalent tooling Orchestration: Apache Airflow and cloud-native orchestration services Event streaming: Kafka and cloud-native event-streaming technologies Data modelling: Dimensional ...

distributed processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise-scale ETL/ELT,batchand streaming patterns Transformation and quality:dbt, Great Expectations and equivalent tooling Orchestration:Apache Airflow and cloud-native orchestration services Event streaming:Kafka and cloud-native event-streaming technologies Data modelling:Dimensional ...

Agile development environment Practical experience developing and supporting cloud-based data solutions Desirable Experience in AWS (terraform, DMS, lambda, step functions, S3) Experience with DBT, including building, testing and maintaining data transformation models Proficient in AI prompting to support data engineering, testing and optimisation Understanding of machine learning or data ...

Agile development environment Practical experience developing and supporting cloud-based data solutions Desirable Experience in AWS (terraform, DMS, lambda, step functions, S3) Experience with DBT, including building, testing and maintaining data transformation models Proficient in AI prompting to support data engineering, testing and optimisation Understanding of machine learning or data ...

data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. ...

problems beyond standard GUI tooling. Proven ability to introduce and sustain Agile delivery practices, backlog management, and effort estimation within technical teams. Experience with dbt/analytics engineering, data function rebuilds, or working within healthcare/regulated data environments is highly desirable. Excellent communication skills, with the ability to clearly ...

combines technical expertise with a genuine interest in solving business problems through data. You'll be comfortable working hands-on with SQL, Snowflake and dbt, while translating business requirements into scalable technical solutions. This role is not a senior position and would suit someone looking for their next step. ...

Factory) and operationalising these on Azure. Experience working with stakeholders across business, product and engineering to define KPIs, SLAs and data contracts. Familiarity with DBT, DataOps practices and modern transformation tooling is desirable. Experience supporting digital products, automation platforms, AI solutions, or enterprise applications. Understanding of Generative AI, Large Language ...

coding skills. Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift. Experience with data transformation tools such as dbt, or Dataflow. Understanding of data modeling techniques. Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset. Understanding of software engineering best practices ...

production codebases. Expert‐level proficiency in Python, SQL, and Apache Spark for data pipeline development. Proven experience building ELT workflows using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design, and schema normalization at enterprise scale. Strong experience with AWS (S3, Redshift, Glue, Lambda) or GCP (BigQuery ...

including complex queries, window functions, and performance optimisation. Google BigQuery, including table design, partitioning, clustering, and query performance tuning Dataform or equivalent transformation frameworks (dbt, etc.), writing SQLX, managing dependencies, and maintaining modular, well‐tested transformation logic Solid understanding of ETL/ELT pipeline design, including incremental loads, idempotency, error ...

Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. ...

Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. ...

Technical proficiency: Solid expertise in SQL and Python, experience with cloud data warehouses (e.g., BigQuery, Snowflake, or Redshift), and data transformation tools (such as dbt). Pipeline mastery: Practical experience building and operating batch or streaming pipelines using orchestration tools like Airflow, Prefect, or Dagster. Strong communicator: Skilled at writing ...

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 Python CI automation systems such as Jenkins A git‐based source control system such as BitBucket Data Warehouse/Kimball methodology Data replication technology such ...

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 ...

based data platforms (AWS, GCP, or Azure) Technical credibility with data engineering practices: strong grasp of SQL, data modeling, pipeline design, and tools like dbt, Airflow, Fivetran, and similar Hands-on experience with cloud data warehouses (BigQuery, Redshift, or Snowflake); understanding of performance optimization, partitioning, and data quality patterns Ability ...

Kanban. Strong analytical and problem‐solving skills, with a focus on delivering high-quality solutions. Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies. Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non‐technical audiences. What we offer Reward ...

large‐scale data architectures. Hands‐on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential). Ability to work effectively with cross‐functional stakeholders, translating technical ...

However, we will consider candidates who bring Cloud + CI/CD experience alongside technologies such as: Proficient SQL; familiarity with PySpark is beneficial dbt Microsoft Fabric SQLMesh 5. Core Engineering Skills Strong Python, with good documentation and unit testing practices Comfortable in an agile delivery environment Able to communicate ...

stakeholders to deliver high-quality solutions. Even better if you have Databricks certifications. Experience with Unity Catalog, MLflow or Databricks Asset Bundles. Familiarity with dbt or similar data transformation frameworks. Exposure to Kafka, Event Hubs or other streaming technologies. Experience working with retail or consumer packaged goods data, including point ...

engineering, or a related field; a master's degree is a plus. Proven experience in data engineering and analytics, with expertise in Power BI, dbt, Databricks, and Azure. Proficiency in SQL, Python, and data manipulation libraries and frameworks. Strong problem-solving skills and analytical thinking. Excellent communication skills with ...

data engineering, or a related field; a master's degree is a plus.Proven experience in data engineering and analytics, with expertise in Power BI, dbt, Databricks, and Azure.Proficiency in SQL, Python, and data manipulation libraries and frameworks.Strong problem-solving skills and analytical thinking.Excellent communication skills with the ability to collaborate ...

Kafka as our message transport Flink for (near) real time processing Datahub as our catalog BigQuery as our warehouse Airflow (GCP Composer) for scheduling DBT for data transformation Montecarlo for monitoring The platform here encompasses the end-to-end, first for real time/streaming use cases but also ...

large-scale data architectures. Deep hands‐on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential). Collaboration: Ability to work effectively with cross-functional stakeholders ...