warrington, cheshire, north west england, united kingdom Hybrid / WFH Options
Client Server
Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift More ❯
bolton, greater manchester, north west england, united kingdom Hybrid / WFH Options
Client Server
Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift More ❯
solid background within start-ups and able to work on multiple projects similtaneously Proven experience with integrations (APIs, SFTP, SharePoint, webhooks) Hands-on experience with workflow orchestration tools (Temporal, Dagster) Comfortable working with and improving generated code Experience with CI/CD pipelines, Docker, and cloud platforms (Azure/AWS/GCP) Understanding of modern software architecture patterns Disclaimer More ❯
solid background within start-ups and able to work on multiple projects similtaneously Proven experience with integrations (APIs, SFTP, SharePoint, webhooks) Hands-on experience with workflow orchestration tools (Temporal, Dagster) Comfortable working with and improving generated code Experience with CI/CD pipelines, Docker, and cloud platforms (Azure/AWS/GCP) Understanding of modern software architecture patterns Disclaimer More ❯
on experience with: Snowflake (architecture, performance tuning, cost optimisation) DBT (model development, testing, documentation, deployment) SQL (advanced query optimisation and debugging) Experience with data integration and orchestration tools (Airflow, Dagster, Prefect, or similar). Familiarity with cloud data platforms (AWS, Azure, or GCP). Contract: Initial 6-month contract Hybrid - 1 day per week on-site in London Competitive More ❯
solid background within start-ups and able to work on multiple projects similtaneously Proven experience with integrations (APIs, SFTP, SharePoint, webhooks) Hands-on experience with workflow orchestration tools (Temporal, Dagster) Comfortable working with and improving generated code Experience with CI/CD pipelines, Docker, and cloud platforms (Azure/AWS/GCP) Understanding of modern software architecture patterns Disclaimer More ❯
solid background within start-ups and able to work on multiple projects similtaneously Proven experience with integrations (APIs, SFTP, SharePoint, webhooks) Hands-on experience with workflow orchestration tools (Temporal, Dagster) Comfortable working with and improving generated code Experience with CI/CD pipelines, Docker, and cloud platforms (Azure/AWS/GCP) Understanding of modern software architecture patterns Disclaimer More ❯
london (city of london), south east england, united kingdom
Primis
solid background within start-ups and able to work on multiple projects similtaneously Proven experience with integrations (APIs, SFTP, SharePoint, webhooks) Hands-on experience with workflow orchestration tools (Temporal, Dagster) Comfortable working with and improving generated code Experience with CI/CD pipelines, Docker, and cloud platforms (Azure/AWS/GCP) Understanding of modern software architecture patterns Disclaimer More ❯
work at the heart of a mission-driven business. ✅ What you'll bring: - 4+ years as a Data Engineer (ideally in fintech/lending) - Strong SQL, Python, Snowflake, dbt, Dagster - Experience with credit bureau data, open banking APIs - A love for clean, scalable data systems in fast-moving environments Sound like you or someone you know? 📩 Drop me a More ❯
work at the heart of a mission-driven business. ✅ What you'll bring: - 4+ years as a Data Engineer (ideally in fintech/lending) - Strong SQL, Python, Snowflake, dbt, Dagster - Experience with credit bureau data, open banking APIs - A love for clean, scalable data systems in fast-moving environments Sound like you or someone you know? 📩 Drop me a More ❯
skills and comfort working across complex ingestion workflows Experience managing NoSQL and vector databases at scale (MongoDB, Weaviate, Pinecone, etc.) Solid understanding of modern data pipeline tools (Airflow, Prefect, Dagster) Practical experience with LLM development, embeddings, and RAG architectures Familiarity with distributed systems and cloud platforms (AWS, GCP, or Azure) Self-motivated and capable of independently delivering production-grade More ❯
hertfordshire, east anglia, united kingdom Hybrid / WFH Options
Rightmove
recovery processes. Using MLOps tools (e.g., Vertex Pipelines, Kubeflow, Weights & Biases) for experiment tracking, model registry, and automated deployment. Leveraging Docker/Kubernetes and workflow orchestration tools (Airflow, Prefect, Dagster). Collaborating with product, design, and engineering teams to deliver ML features that directly impact customer experience. Translating model performance into business metrics (e.g., accuracy vs cost/latency More ❯
london, south east england, united kingdom Hybrid / WFH Options
Rightmove
recovery processes. Using MLOps tools (e.g., Vertex Pipelines, Kubeflow, Weights & Biases) for experiment tracking, model registry, and automated deployment. Leveraging Docker/Kubernetes and workflow orchestration tools (Airflow, Prefect, Dagster). Collaborating with product, design, and engineering teams to deliver ML features that directly impact customer experience. Translating model performance into business metrics (e.g., accuracy vs cost/latency More ❯
buckinghamshire, south east england, united kingdom Hybrid / WFH Options
Rightmove
recovery processes. Using MLOps tools (e.g., Vertex Pipelines, Kubeflow, Weights & Biases) for experiment tracking, model registry, and automated deployment. Leveraging Docker/Kubernetes and workflow orchestration tools (Airflow, Prefect, Dagster). Collaborating with product, design, and engineering teams to deliver ML features that directly impact customer experience. Translating model performance into business metrics (e.g., accuracy vs cost/latency More ❯
South East London, London, United Kingdom Hybrid / WFH Options
Corriculo Ltd
Enabling future scalability by establishing robust, modular foundations Experience Required: Snowflake expertise Solid data engineering expertise including strong SQL and Python Proficiency in DBT for transformation tasks Experience with Dagster or a similar orchestration tool Familiarity with Azure So What's Next? If you are an experienced Snowflake-focused Lead Data Engineer/Tech Lead and are available for 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 ❯
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 ❯
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 ❯
