production-grade code. What We’re Looking For 2–3+ years’ experience as a Data Engineer or similar. Strong background with the modern data stack (e.g. Airbyte, dbt, BigQuery, Dagster, or equivalents). Skilled in SQL, data modelling, and pipeline orchestration. Analytical, pragmatic, and product-minded — focused on delivering impact. Comfortable in a fast-paced, collaborative, and evolving environment. More ❯
production-grade code. What We’re Looking For 2–3+ years’ experience as a Data Engineer or similar. Strong background with the modern data stack (e.g. Airbyte, dbt, BigQuery, Dagster, or equivalents). Skilled in SQL, data modelling, and pipeline orchestration. Analytical, pragmatic, and product-minded — focused on delivering impact. Comfortable in a fast-paced, collaborative, and evolving environment. More ❯
production-grade code. What We’re Looking For 2–3+ years’ experience as a Data Engineer or similar. Strong background with the modern data stack (e.g. Airbyte, dbt, BigQuery, Dagster, or equivalents). Skilled in SQL, data modelling, and pipeline orchestration. Analytical, pragmatic, and product-minded — focused on delivering impact. Comfortable in a fast-paced, collaborative, and evolving environment. More ❯
london (city of london), south east england, united kingdom
Stockford Recruitment
production-grade code. What We’re Looking For 2–3+ years’ experience as a Data Engineer or similar. Strong background with the modern data stack (e.g. Airbyte, dbt, BigQuery, Dagster, or equivalents). Skilled in SQL, data modelling, and pipeline orchestration. Analytical, pragmatic, and product-minded — focused on delivering impact. Comfortable in a fast-paced, collaborative, and evolving environment. More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
and improving, in production. 🧠 What You’ll Be Doing Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink) Build robust feature pipelines using Airflow, Prefect, or Dagster Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe, and improve pipelines … Tech Environment You’ll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud: AWS/GCP/ More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
and improving, in production. 🧠 What You’ll Be Doing Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink) Build robust feature pipelines using Airflow, Prefect, or Dagster Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe, and improve pipelines … Tech Environment You’ll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud: AWS/GCP/ More ❯
Data Engineer (with Data Analytics Background) Location: City of London Employment Type: Full-time Salary: £90,000–£100,000 Sector: Fintech We’re looking for a well-rounded, communicative Data Engineer with a strong background in data analytics and experience More ❯
london (city of london), south east england, united kingdom
83data
Data Engineer (with Data Analytics Background) Location: City of London Employment Type: Full-time Salary: £90,000–£100,000 Sector: Fintech We’re looking for a well-rounded, communicative Data Engineer with a strong background in data analytics and experience More ❯
Data Engineer (with Data Analytics Background) Location: City of London Employment Type: Full-time Salary: £90,000-£100,000 Sector: Fintech We're looking for a well-rounded, communicative Data Engineer with a strong background in data analytics and experience More ❯
SQL and implement data models optimised for analytics and scalability. Use Terraform and Infrastructure as Code (IaC) to automate deployments and manage cloud resources. Orchestrate workflows with Airflow or Dagster, ensuring reliability and visibility across data pipelines. Implement best practices in data governance, monitoring, and data quality. Collaborate with analytics, product, and engineering teams to deliver clean, trusted data … hands-on engineer who enjoys building reliable, scalable data systems and enabling smarter business decisions, we’d love to hear from you. Keywords: SQL/BigQuery/Airflow/Dagster/Terraform/IAC/DataOps/Infrastructure/Platform Engineer/Data Engineer More ❯
SQL and implement data models optimised for analytics and scalability. Use Terraform and Infrastructure as Code (IaC) to automate deployments and manage cloud resources. Orchestrate workflows with Airflow or Dagster, ensuring reliability and visibility across data pipelines. Implement best practices in data governance, monitoring, and data quality. Collaborate with analytics, product, and engineering teams to deliver clean, trusted data … hands-on engineer who enjoys building reliable, scalable data systems and enabling smarter business decisions, we’d love to hear from you. Keywords: SQL/BigQuery/Airflow/Dagster/Terraform/IAC/DataOps/Infrastructure/Platform Engineer/Data Engineer More ❯
SQL and implement data models optimised for analytics and scalability. Use Terraform and Infrastructure as Code (IaC) to automate deployments and manage cloud resources. Orchestrate workflows with Airflow or Dagster, ensuring reliability and visibility across data pipelines. Implement best practices in data governance, monitoring, and data quality. Collaborate with analytics, product, and engineering teams to deliver clean, trusted data … hands-on engineer who enjoys building reliable, scalable data systems and enabling smarter business decisions, we’d love to hear from you. Keywords: SQL/BigQuery/Airflow/Dagster/Terraform/IAC/DataOps/Infrastructure/Platform Engineer/Data Engineer More ❯
london (city of london), south east england, united kingdom
Talent Insights Group
SQL and implement data models optimised for analytics and scalability. Use Terraform and Infrastructure as Code (IaC) to automate deployments and manage cloud resources. Orchestrate workflows with Airflow or Dagster, ensuring reliability and visibility across data pipelines. Implement best practices in data governance, monitoring, and data quality. Collaborate with analytics, product, and engineering teams to deliver clean, trusted data … hands-on engineer who enjoys building reliable, scalable data systems and enabling smarter business decisions, we’d love to hear from you. Keywords: SQL/BigQuery/Airflow/Dagster/Terraform/IAC/DataOps/Infrastructure/Platform Engineer/Data Engineer More ❯
workflow logic for our SaaS apps. You’ll work hands-on across Python APIs, data workflows, and external system connectors, often starting from automation-generated code (FE automation and Dagster DSL). Your job is to make that code production-ready — fixing, extending, and integrating it with our broader architecture. You’ll also be the team’s AI development … Support teams. What we’re looking for Strong Python backend/API experience; SQL and data modelling skills. Proven integrations experience (APIs, SFTP, SharePoint, webhooks). Workflow orchestration (Temporal, Dagster) know-how. Track record using AI-assisted dev in production. Comfortable working with generated code and improving automation. Familiarity with CI/CD, Docker, cloud (Azure/AWS/ More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Cogna
workflow logic for our SaaS apps. You’ll work hands-on across Python APIs, data workflows, and external system connectors, often starting from automation-generated code (FE automation and Dagster DSL). Your job is to make that code production-ready — fixing, extending, and integrating it with our broader architecture. You’ll also be the team’s AI development … Support teams. What we’re looking for Strong Python backend/API experience; SQL and data modelling skills. Proven integrations experience (APIs, SFTP, SharePoint, webhooks). Workflow orchestration (Temporal, Dagster) know-how. Track record using AI-assisted dev in production. Comfortable working with generated code and improving automation. Familiarity with CI/CD, Docker, cloud (Azure/AWS/ More ❯
london, south east england, united kingdom Hybrid / WFH Options
Cogna
workflow logic for our SaaS apps. You’ll work hands-on across Python APIs, data workflows, and external system connectors, often starting from automation-generated code (FE automation and Dagster DSL). Your job is to make that code production-ready — fixing, extending, and integrating it with our broader architecture. You’ll also be the team’s AI development … Support teams. What we’re looking for Strong Python backend/API experience; SQL and data modelling skills. Proven integrations experience (APIs, SFTP, SharePoint, webhooks). Workflow orchestration (Temporal, Dagster) know-how. Track record using AI-assisted dev in production. Comfortable working with generated code and improving automation. Familiarity with CI/CD, Docker, cloud (Azure/AWS/ More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Cogna
workflow logic for our SaaS apps. You’ll work hands-on across Python APIs, data workflows, and external system connectors, often starting from automation-generated code (FE automation and Dagster DSL). Your job is to make that code production-ready — fixing, extending, and integrating it with our broader architecture. You’ll also be the team’s AI development … Support teams. What we’re looking for Strong Python backend/API experience; SQL and data modelling skills. Proven integrations experience (APIs, SFTP, SharePoint, webhooks). Workflow orchestration (Temporal, Dagster) know-how. Track record using AI-assisted dev in production. Comfortable working with generated code and improving automation. Familiarity with CI/CD, Docker, cloud (Azure/AWS/ More ❯
