1 to 25 of 85 Remote/Hybrid dbt Jobs in London

creation end-to-end CI/CD with Jenkins Snowflake data solutions Exposure to AI/ML workflows or ingesting external/public datasets DBT for data modelling (nice to have) What You’ll Work With: Python for data processing and transformation AWS services (S3, compute, orchestration, and data tooling ...

making technical decisions Qualifications Strong background in analytics engineering or data engineering Deep experience with SQL and analytical data modelling Hands-on experience with dbt or similar transformation frameworks Proficiency in Python for data manipulation and pipeline support Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift, or similar) Solid ...

making technical decisions Qualifications Strong background in analytics engineering or data engineering Deep experience with SQL and analytical data modelling Hands-on experience with dbt or similar transformation frameworks Proficiency in Python for data manipulation and pipeline support Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift, or similar) Solid ...

enable accurate analytics and data modeling. Deploy and maintain data tools on Kubernetes (Airflow, Superset, RStudio Connect). Support Data Analytics initiatives through DBT , DevOps , and deployment governance. You will work closely with a small, focused team, contributing directly to strategic data initiatives. Candidate Profile: The ideal candidate will have ...

etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in the likes of Python, Pyspark, SQL, Scala ...

etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in the likes of Python, Pyspark, SQL, Scala ...

understanding of Snowflake or similar cloud data warehouses. Experience with Kubernetes for container orchestration. Proficiency with Terraform or other IaC tools. Essential experience with dbt . Previous mentoring or leadership experience (formal line management not required). Strong communication skills and ability to excel in a fast-paced start ...

understanding of Snowflake or similar cloud data warehouses. Experience with Kubernetes for container orchestration. Proficiency with Terraform or other IaC tools. Essential experience with dbt . Previous mentoring or leadership experience (formal line management not required). Strong communication skills and ability to excel in a fast-paced start ...

tools and marketing APIs Familiarity with marketing datamarts and performance metrics Cloud experience with AWS, GCP, or Snowflake Proficiency in Python, SQL, Git, and DBT Knowledge of MMM/MTA and deployment tools like Airflow or Docker Details Salary: £60-75k per annual Duration: 12-month fixed-term contract ...

tools and marketing APIs Familiarity with marketing datamarts and performance metrics Cloud experience with AWS, GCP, or Snowflake Proficiency in Python, SQL, Git, and DBT Knowledge of MMM/MTA and deployment tools like Airflow or Docker Details Salary: £60-75k per annual Duration: 12-month fixed-term contract ...

services and Databricks . Advanced proficiency in Python and SQL for data engineering. Experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, dbt). Strong knowledge of data warehousing and cloud-based data architectures. Understanding of BI tools such as Power BI or Tableau. Strong problem-solving ...

/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex engineering concepts without ...

/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex engineering concepts without ...

needed. Technology/Skills requirements SQL and another language e.g. Python ELT/ETL CI/CD Data Modelling Data Architecture Data Frameworks dbt Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About ...

needed. Technology/Skills requirements SQL and another language e.g. Python ELT/ETL CI/CD Data Modelling Data Architecture Data Frameworks dbt Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About ...

extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball-style multi-dimensional models. Strong SQL, Sigma, PowerBI, Matilion, DBT, Python Essential Skills for the Data Business Analyst: Proven Analyst experience of at least 5 years, within a Financial Services environment, with particular emphasis ...

support products as well as design & deliver new innovations for growth, including Agentic development. Technology/Skills requirements SQL ELT/ETL Data Modelling dbt models Version control (Git) Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development ...

support products as well as design & deliver new innovations for growth, including Agentic development. Technology/Skills requirements SQL ELT/ETL Data Modelling dbt models Version control (Git) Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development ...

. Experience across warehousing platforms (Teradata, Snowflake, Redshift, BigQuery, Synapse). Proven work with data catalog, lineage, DQ (Collibra/Purview; Great Expectations/dbt tests). Desirable skills: BFSI domain exposure (risk, finance, customer analytics, regulatory reporting). Cloud familiarity (AWS/Azure/GCP) and IaC (Terraform/ ...

. Experience across warehousing platforms (Teradata, Snowflake, Redshift, BigQuery, Synapse). Proven work with data catalog, lineage, DQ (Collibra/Purview; Great Expectations/dbt tests). Desirable skills: BFSI domain exposure (risk, finance, customer analytics, regulatory reporting). Cloud familiarity (AWS/Azure/GCP) and IaC (Terraform/ ...

data models that support analytics, machine learning, and operational use cases. The role involves working with modern data stack technologies such as Databricks, AWS, dbt, Airflow, and Looker. They lead complex technical initiatives, improve engineering efficiency through better CI/CD, observability, and tooling, and ensure data reliability at scale. ...

data models that support analytics, machine learning, and operational use cases. The role involves working with modern data stack technologies such as Databricks, AWS, dbt, Airflow, and Looker. They lead complex technical initiatives, improve engineering efficiency through better CI/CD, observability, and tooling, and ensure data reliability at scale. ...

environments. Hands-on experience with services such as S3, Redshift , and other AWS data ecosystem tools. Familiarity with modern data stack tools: Airflow, dbt, Airbyte (or similar). Proficient in building automated pipelines, CI/CD, and applying software development best practices to data engineering. Strong performance-tuning, optimisation ...

environments. Hands-on experience with services such as S3, Redshift , and other AWS data ecosystem tools. Familiarity with modern data stack tools: Airflow, dbt, Airbyte (or similar). Proficient in building automated pipelines, CI/CD, and applying software development best practices to data engineering. Strong performance-tuning, optimisation ...

design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data migration. Exposure to DBT, Docker, or Microsoft BI stack is a plus. ...