1 to 25 of 35 Remote dbt Jobs in Central London

CD, containerisation (Docker, Kubernetes), and modern DevOps practices. Exposure to regulatory reporting, compliance systems, or financial services technology. Experience with big data tools and the modern data stack (e.g., dbt, Airflow, Kafka). Knowledge of security best practices and data governance. Benefits: Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access Employee Assistance Program Enhanced parental More ❯

CD, containerisation (Docker, Kubernetes), and modern DevOps practices. Exposure to regulatory reporting, compliance systems, or financial services technology. Experience with big data tools and the modern data stack (e.g., dbt, Airflow, Kafka). Knowledge of security best practices and data governance. Benefits: Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access Employee Assistance Program Enhanced parental More ❯

/ELT processes and database fundamentals. A motivated, proactive mindset with a strong desire to learn and grow. Nice to Have: Exposure to data pipeline tools (e.g. Apache Airflow, dbt). Experience with containerisation tools like Docker. Familiarity with version control and CI/CD practices. Knowledge of BI tools (Looker, Tableau, or similar). If you’re excited to More ❯

/ELT processes and database fundamentals. A motivated, proactive mindset with a strong desire to learn and grow. Nice to Have: Exposure to data pipeline tools (e.g. Apache Airflow, dbt). Experience with containerisation tools like Docker. Familiarity with version control and CI/CD practices. Knowledge of BI tools (Looker, Tableau, or similar). If you’re excited to More ❯

a Data Engineer Hands-on with Databricks, Spark, Python, SQL Cloud experience (Azure, AWS, or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why Apply? Modern tech stack More ❯

a Data Engineer Hands-on with Databricks, Spark, Python, SQL Cloud experience (Azure, AWS, or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why Apply? Modern tech stack More ❯

data engineering type! Significant hands-on experience with AWS services focused on data flow, pipelines, data transformation, storage and streaming. Excellent data engineering skills, for example with SQL, Python, DBT and Airflow. Good understanding of service-oriented architecture; experience of exposing and consuming data via APIs, streams and webhooks. Experience designing scalable data models, warehouse/lakehouse architectures, and dimensional More ❯

data engineering type! Significant hands-on experience with AWS services focused on data flow, pipelines, data transformation, storage and streaming. Excellent data engineering skills, for example with SQL, Python, DBT and Airflow. Good understanding of service-oriented architecture; experience of exposing and consuming data via APIs, streams and webhooks. Experience designing scalable data models, warehouse/lakehouse architectures, and dimensional More ❯

Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales activities in a consultancy or product business. Why Join? Work with cutting-edge data and AI technology. Collaborate with passionate, high-performing More ❯

Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales activities in a consultancy or product business. Why Join? Work with cutting-edge data and AI technology. Collaborate with passionate, high-performing More ❯

e.g. Databricks, Azure, AWS or GCP native stacks) Experience with platform observability and CI/CD for data platforms Hands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or Airflow History of supporting pre-sales activities in a product or consultancy-based business What Kubrick offers: A fast moving and fast growth business which is doing More ❯

e.g. Databricks, Azure, AWS or GCP native stacks) Experience with platform observability and CI/CD for data platforms Hands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or Airflow History of supporting pre-sales activities in a product or consultancy-based business What Kubrick offers: A fast moving and fast growth business which is doing More ❯

a passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have: Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per week in More ❯

for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have (not essential): Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per week in More ❯

and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte or similar. Strong grasp of software development best practices and CI/CD processes. Skilled in performance tuning, testing, and automation within data engineering environments. Excellent communication skills, with More ❯

and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte or similar. Strong grasp of software development best practices and CI/CD processes. Skilled in performance tuning, testing, and automation within data engineering environments. Excellent communication skills, with More ❯

maintaining best practices for data governance, security, and reliability. What we’re looking for: 5+ years’ experience in data engineering and cloud infrastructure Expertise in Python (PySpark), SQL, and dbt (or similar) Strong DevOps skills: Terraform, Docker, CI/CD, monitoring/logging tools AWS experience: S3, ECS/Fargate, RDS, Lambda Data warehousing experience (PostgreSQL or similar) Experience with More ❯

maintaining best practices for data governance, security, and reliability. What we’re looking for: 5+ years’ experience in data engineering and cloud infrastructure Expertise in Python (PySpark), SQL, and dbt (or similar) Strong DevOps skills: Terraform, Docker, CI/CD, monitoring/logging tools AWS experience: S3, ECS/Fargate, RDS, Lambda Data warehousing experience (PostgreSQL or similar) Experience with More ❯

maintaining best practices for data governance, security, and reliability. What we’re looking for: 5+ years’ experience in data engineering and cloud infrastructure Expertise in Python (PySpark), SQL, and dbt (or similar) Strong DevOps skills: Terraform, Docker, CI/CD, monitoring/logging tools AWS experience: S3, ECS/Fargate, RDS, Lambda Data warehousing experience (PostgreSQL or similar) Experience with More ❯

maintaining best practices for data governance, security, and reliability. What we’re looking for: 5+ years’ experience in data engineering and cloud infrastructure Expertise in Python (PySpark), SQL, and dbt (or similar) Strong DevOps skills: Terraform, Docker, CI/CD, monitoring/logging tools AWS experience: S3, ECS/Fargate, RDS, Lambda Data warehousing experience (PostgreSQL or similar) Experience with More ❯

maintaining best practices for data governance, security, and reliability. What we’re looking for: 5+ years’ experience in data engineering and cloud infrastructure Expertise in Python (PySpark), SQL, and dbt (or similar) Strong DevOps skills: Terraform, Docker, CI/CD, monitoring/logging tools AWS experience: S3, ECS/Fargate, RDS, Lambda Data warehousing experience (PostgreSQL or similar) Experience with More ❯

systems. Strong communication skills — able to translate data findings into actionable insights for technical and non-technical stakeholders. Desirable Skills: Experience working with ETL tools or scripting languages (Python, dbt, Alteryx, SSIS, etc.). Familiarity with cloud data environments (AWS, Azure, GCP). Knowledge of data governance, privacy (GDPR), and regulatory requirements in insurance. Exposure to API-based data integrations More ❯

systems. Strong communication skills — able to translate data findings into actionable insights for technical and non-technical stakeholders. Desirable Skills: Experience working with ETL tools or scripting languages (Python, dbt, Alteryx, SSIS, etc.). Familiarity with cloud data environments (AWS, Azure, GCP). Knowledge of data governance, privacy (GDPR), and regulatory requirements in insurance. Exposure to API-based data integrations More ❯

TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms, CRMs). Proven ability to manage or mentor junior team members, providing technical More ❯

TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms, CRMs). Proven ability to manage or mentor junior team members, providing technical More ❯