Manchester, 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 ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Client Server Ltd
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 ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Client Server Ltd
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 ❯
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 ❯
business outcomes. A collaborative mindset, with openness to feedback and diverse perspectives. Bonus points if you have the following. Experience building and maintaining production-grade data pipelines (e.g. Airflow, Dagster) or integrating data from APIs, web scraping, or third-party providers. Familiarity with cloud environments such as Google Cloud or AWS, and deploying data science workflows at scale Strong More ❯
business outcomes. A collaborative mindset, with openness to feedback and diverse perspectives. Bonus points if you have the following. Experience building and maintaining production-grade data pipelines (e.g. Airflow, Dagster) or integrating data from APIs, web scraping, or third-party providers. Familiarity with cloud environments such as Google Cloud or AWS, and deploying data science workflows at scale Strong 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 ❯
Youll Bring 2+ years as a Data Engineer , ideally in fintech, UK consumer lending, or financial services . Hands-on experience with SQL, Python , and tools like Snowflake, dbt, Dagster , or similar. Comfortable with transactional, bureau, and open banking data . Experience delivering production-ready datasets in a regulated environment. Enjoy working in a fast-paced, collaborative setting . More ❯
ll Bring 2+ years as a Data Engineer , ideally in fintech, UK consumer lending, or financial services . Hands-on experience with SQL, Python , and tools like Snowflake, dbt, Dagster , or similar. Comfortable with transactional, bureau, and open banking data . Experience delivering production-ready datasets in a regulated environment. Enjoy working in a fast-paced, collaborative setting . 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 ❯
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 ❯
consumer lending, fintech, or financial services Hands-on experience with building data pipelines, use of SQL, Python, and relevant data engineering tools (e.g.,Snowflake, dbt, third-party ingestion tools, Dagster). Comfortable working with transactional data, credit bureau data, and open banking APIs. Understand the importance of and implement solutions for data quality, lineage, and security in a regulated More ❯
consumer lending, fintech, or financial services Hands-on experience with building data pipelines, use of SQL, Python, and relevant data engineering tools (e.g.,Snowflake, dbt, third-party ingestion tools, Dagster). Comfortable working with transactional data, credit bureau data, and open banking APIs. Understand the importance of and implement solutions for data quality, lineage, and security in a regulated 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 ❯
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 ❯
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 ❯
