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 ❯
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 ❯
and the business. Primary Responsibilities Design and implement the core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to … data stacks and cloud technologies (AWS, Azure, or GCP). Expert knowledge of Python and SQL Hands-on experiences with Data Architecture, including: Cloud platforms and orchestration tools (e.g. Dagster, Airflow) AI/MLOps: Model deployment, monitoring, lifecycle management. Big Data Processing: Spark, Databricks, or similar. Bonus: Knowledge Graph engineering, graph databases, ontologies. Located in London And ideally you … and scale a data function over time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: 130K150K base salary + meaningful equity as a founding employee. Private medical insurance Life assurance Gym membership More ❯
and the business. Primary Responsibilities Design and implement the core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to … data stacks and cloud technologies (AWS, Azure, or GCP). Expert knowledge of Python and SQL Hands-on experiences with Data Architecture, including: Cloud platforms and orchestration tools (e.g. Dagster, Airflow) AI/MLOps: Model deployment, monitoring, lifecycle management. Big Data Processing: Spark, Databricks, or similar. Bonus: Knowledge Graph engineering, graph databases, ontologies. Located in London And ideally you... … and scale a data function over time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity as a founding employee. Private medical insurance Life assurance Gym More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Higher - AI recruitment
and the business. Primary Responsibilities Design and implement the core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to … data stacks and cloud technologies (AWS, Azure, or GCP). Expert knowledge of Python and SQL Hands-on experiences with Data Architecture, including: Cloud platforms and orchestration tools (e.g. Dagster, Airflow) AI/MLOps: Model deployment, monitoring, lifecycle management. Big Data Processing: Spark, Databricks, or similar. Bonus: Knowledge Graph engineering, graph databases, ontologies. Located in London And ideally you... … and scale a data function over time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity as a founding employee. Private medical insurance Life assurance Gym More ❯
london, south east england, united kingdom Hybrid / WFH Options
Higher - AI recruitment
and the business. Primary Responsibilities Design and implement the core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to … data stacks and cloud technologies (AWS, Azure, or GCP). Expert knowledge of Python and SQL Hands-on experiences with Data Architecture, including: Cloud platforms and orchestration tools (e.g. Dagster, Airflow) AI/MLOps: Model deployment, monitoring, lifecycle management. Big Data Processing: Spark, Databricks, or similar. Bonus: Knowledge Graph engineering, graph databases, ontologies. Located in London And ideally you... … and scale a data function over time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity as a founding employee. Private medical insurance Life assurance Gym More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Higher - AI recruitment
and the business. Primary Responsibilities Design and implement the core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to … data stacks and cloud technologies (AWS, Azure, or GCP). Expert knowledge of Python and SQL Hands-on experiences with Data Architecture, including: Cloud platforms and orchestration tools (e.g. Dagster, Airflow) AI/MLOps: Model deployment, monitoring, lifecycle management. Big Data Processing: Spark, Databricks, or similar. Bonus: Knowledge Graph engineering, graph databases, ontologies. Located in London And ideally you... … and scale a data function over time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity as a founding employee. Private medical insurance Life assurance Gym More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Higher - AI recruitment
and the business. Primary Responsibilities Design and implement the core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to … data stacks and cloud technologies (AWS, Azure, or GCP). Expert knowledge of Python and SQL Hands-on experiences with Data Architecture, including: Cloud platforms and orchestration tools (e.g. Dagster, Airflow) AI/MLOps: Model deployment, monitoring, lifecycle management. Big Data Processing: Spark, Databricks, or similar. Bonus: Knowledge Graph engineering, graph databases, ontologies. Located in London And ideally you... … and scale a data function over time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity as a founding employee. Private medical insurance Life assurance Gym 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 ❯
Propel are proud to be partnering with a rapidly scaling global fintech, backed by leading investors, thats redefining financial access for immigrants and international communities worldwide. Their multi-currency platform powers instant cross-border payments, foreign exchange, and inclusive financial More ❯
Data Engineer (with Data Analytics Background) If you are interested in applying for this job, please make sure you meet the following requirements as listed below. Location: City of London Employment Type: Full-time Salary: £90,000-£100 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 ❯
Propel are proud to be partnering with a rapidly scaling global fintech, backed by leading investors, that’s redefining financial access for immigrants and international communities worldwide. Their multi-currency platform powers instant cross-border payments, foreign exchange, and inclusive 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 ❯
Ansible to provision and manage data infrastructure. * Performance Optimization: Enhance data processing for speed, scalability, and reliability. What We're Looking For * Strong experience with orchestration tools (Airflow, Prefect, Dagster). * Expertise in Docker and Kubernetes. * Solid understanding of CI/CD principles and tooling. * Familiarity with open-source data technologies (Spark, Kafka, PostgreSQL). * Knowledge of Infrastructure as … presenting it to any potential employer. Please note we are on the client's supplier list for this position. Keywords Lead DataOps Engineer, DataOps, Data Pipeline Automation, Airflow, Prefect, Dagster, Docker, Kubernetes, EKS, AKS, CI/CD, Terraform, Ansible, Grafana, Prometheus, Spark, Kafka, PostgreSQL, Infrastructure as Code, Cloud Data Engineering, Hybrid Working, Security Clearance, Leadership, DevOps, Observability, Monitoring. More ❯
Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management More ❯
Yate, BS37, Nibley, Gloucestershire, United Kingdom
Zenovo
Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management More ❯
Employment Type: Permanent
Salary: £55000 - £60000/annum Up to £60,000 (depending on experien
Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management More ❯
Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management More ❯
Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management More ❯
Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management More ❯