CD for ML, and production monitoring. Experience building robust backend systems and APIs to serve ML models at scale. Strong understanding of big data technologies and data orchestration tools (Airflow, DBT). Familiarity with LLM integration and optimisation in production environments. Excellent problem-solving, analytical, and communication skills. Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods). More ❯
in AWS. Strong expertise with AWS services, including Glue, Redshift, Data Catalog, and large-scale data storage solutions such as data lakes. Proficiency in ETL/ELT tools (e.g. Apache Spark, Airflow, dbt). Skilled in data processing languages such as Python, Java, and SQL. Strong knowledge of data warehousing, data lakes, and data lakehouse architectures. Excellent analytical More ❯
bradford, yorkshire and the humber, united kingdom
Fruition Group
in AWS. Strong expertise with AWS services, including Glue, Redshift, Data Catalog, and large-scale data storage solutions such as data lakes. Proficiency in ETL/ELT tools (e.g. Apache Spark, Airflow, dbt). Skilled in data processing languages such as Python, Java, and SQL. Strong knowledge of data warehousing, data lakes, and data lakehouse architectures. Excellent analytical More ❯
data quality, or other areas directly relevant to data engineering responsibilities and tasks Proven project experience developing and maintaining data warehouses in big data solutions (Snowflake) Expert knowledge in Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize More ❯
at scale Champion clean code, observability, and continuous delivery Mentor and inspire other engineers Tech you’ll use: C#, Go, Kubernetes, GCP, SQL Server, MongoDB, GitOps (Argo CD), BigQuery, Airflow You’ll join a collaborative, forward-thinking team where experimentation and autonomy are encouraged — and where your impact will be felt across millions of users worldwide. More ❯
of building performant, maintainable, and testable systems Solid background in microservices architecture Proficiency with Postgres & MongoDB (relational + non-relational) Experience with event-driven architectures and asynchronous workflows (Kafka, Airflow, etc.) Solid coding practices (clean, testable, automated) The mindset of a builder: thrives in fast-paced startup environments, takes ownership, solves complex challenges Bonus points if youve worked with More ❯
Telford, Shropshire, United Kingdom Hybrid / WFH Options
Experis - ManpowerGroup
execution. Ability to work under pressure and manage competing priorities. Desirable Qualifications: Familiarity with DevOps practices and cloud-hosted platforms (AWS, Azure, SAS PaaS). Knowledge of scheduling tools - Airflow Exposure to SAS Migration Factory Delivery Models. The successful candidate will also need to be SC Vetted. All profiles will be reviewed against the required skills and experience. Due More ❯
Job Title: Airflow/AWS Data Engineer Location: Manchester Area (3 days per week in the office) Rate: Up to £400 per day inside IR35 Start Date: 03/11/2025 Contract Length: Until 31st December 2025 Job Type: Contract Company Introduction: An exciting opportunity has become available with one of our sector-leading financial services clients. They … to join their growing data engineering function. This role will play a key part in designing, deploying, and maintaining modern cloud infrastructure and data pipelines, with a focus on Airflow, AWS, and data platform automation. Key Responsibilities: Deploy and manage cloud infrastructure across Astronomer Airflow and AccelData environments. Facilitate integration between vendor products and core systems, including data … Establish and enforce best practices for cloud security, scalability, and performance. Configure and maintain vendor product deployments, ensuring reliability and optimized performance. Ensure high availability and fault tolerance for Airflow clusters. Implement and manage monitoring, alerting, and logging solutions for Airflow and related components. Perform upgrades, patches, and version management for platform components. Oversee capacity planning and resource More ❯
marketing strategists, data analysts, data engineers, and product owners to define use cases and deliver scalable solutions. Model Deployment & Monitoring: Deploy models using MLOps practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance. Innovation & Research: Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks, and techniques that … or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration tools like Airflow Work closely with Data Engineers to ensure model-ready data and scalable pipelines. Nice to have Prior experience working in financial services or within a marketing analytics function. Knowledge More ❯
marketing strategists, data analysts, data engineers, and product owners to define use cases and deliver scalable solutions. Model Deployment & Monitoring: Deploy models using MLOps practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance. Innovation & Research: Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks, and techniques that … or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration tools like Airflow Work closely with Data Engineers to ensure model-ready data and scalable pipelines. Nice to have Prior experience working in financial services or within a marketing analytics function. Knowledge More ❯
marketing strategists, data analysts, data engineers, and product owners to define use cases and deliver scalable solutions. Model Deployment & Monitoring: Deploy models using MLOps practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance. Innovation & Research: Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks, and techniques that … or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration tools like Airflow Work closely with Data Engineers to ensure model-ready data and scalable pipelines. Nice to have Prior experience working in financial services or within a marketing analytics function. Knowledge More ❯
and consumption layers Design and implement secure, performant Snowflake environments including RBAC, data masking, and policies/entitlement understanding Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions Promote … language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software development lifecycle. Strong communication and stakeholder-management skills with the ability to influence technical and business More ❯
and consumption layers Design and implement secure, performant Snowflake environments including RBAC, data masking, and policies/entitlement understanding Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions Promote … language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software development lifecycle. Strong communication and stakeholder-management skills with the ability to influence technical and business More ❯
and consumption layers Design and implement secure, performant Snowflake environments including RBAC, data masking, and policies/entitlement understanding Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions Promote … language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software development lifecycle. Strong communication and stakeholder-management skills with the ability to influence technical and business More ❯
and consumption layers Design and implement secure, performant Snowflake environments including RBAC, data masking, and policies/entitlement understanding Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions Promote … language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software development lifecycle. Strong communication and stakeholder-management skills with the ability to influence technical and business More ❯
london (city of london), south east england, united kingdom
Kubrick Group
and consumption layers Design and implement secure, performant Snowflake environments including RBAC, data masking, and policies/entitlement understanding Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions Promote … language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software development lifecycle. Strong communication and stakeholder-management skills with the ability to influence technical and business More ❯
Royal Leamington Spa, England, United Kingdom Hybrid / WFH Options
Kwalee
At Kwalee, we foster an environment where creativity and collaboration come together. Specialising in both the development and publishing of casual and hybrid casual games, we also bring our creative touch to publishing PC & Console titles, ensuring a diverse and More ❯
rugby, midlands, united kingdom Hybrid / WFH Options
Kwalee
At Kwalee, we foster an environment where creativity and collaboration come together. Specialising in both the development and publishing of casual and hybrid casual games, we also bring our creative touch to publishing PC & Console titles, ensuring a diverse and More ❯
semi-structured, and streaming data Design and improve data models to support analytics and machine learning use cases Develop and support real-time data workflows using technologies such as Apache Kafka Monitor and ensure data quality, reliability, and security across the stack Contribute to the evolution of data engineering practices, tooling, and automation Collaborate with analytics, product, and data … patterns Experience with version control (Git), testing, and code review practices Familiarity with cloud-based data environments (e.g. AWS, GCP, or Azure) Exposure to modern data tools such as Airflow, dbt, or Snowflake Experience or strong interest in streaming technologies like Apache Kafka Interest in MLOps and modern data engineering best practices Why join: You’ll be part More ❯
semi-structured, and streaming data Design and improve data models to support analytics and machine learning use cases Develop and support real-time data workflows using technologies such as Apache Kafka Monitor and ensure data quality, reliability, and security across the stack Contribute to the evolution of data engineering practices, tooling, and automation Collaborate with analytics, product, and data … patterns Experience with version control (Git), testing, and code review practices Familiarity with cloud-based data environments (e.g. AWS, GCP, or Azure) Exposure to modern data tools such as Airflow, dbt, or Snowflake Experience or strong interest in streaming technologies like Apache Kafka Interest in MLOps and modern data engineering best practices Why join: You’ll be part More ❯
semi-structured, and streaming data Design and improve data models to support analytics and machine learning use cases Develop and support real-time data workflows using technologies such as Apache Kafka Monitor and ensure data quality, reliability, and security across the stack Contribute to the evolution of data engineering practices, tooling, and automation Collaborate with analytics, product, and data … patterns Experience with version control (Git), testing, and code review practices Familiarity with cloud-based data environments (e.g. AWS, GCP, or Azure) Exposure to modern data tools such as Airflow, dbt, or Snowflake Experience or strong interest in streaming technologies like Apache Kafka Interest in MLOps and modern data engineering best practices Why join: You’ll be part More ❯
semi-structured, and streaming data Design and improve data models to support analytics and machine learning use cases Develop and support real-time data workflows using technologies such as Apache Kafka Monitor and ensure data quality, reliability, and security across the stack Contribute to the evolution of data engineering practices, tooling, and automation Collaborate with analytics, product, and data … patterns Experience with version control (Git), testing, and code review practices Familiarity with cloud-based data environments (e.g. AWS, GCP, or Azure) Exposure to modern data tools such as Airflow, dbt, or Snowflake Experience or strong interest in streaming technologies like Apache Kafka Interest in MLOps and modern data engineering best practices Why join: You’ll be part More ❯
in delta one, store of value, and/or FICC options trading Experience with Linux-based, concurrent, high-throughput, low-latency software systems Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelor or advanced degree in Computer Science, Mathematics More ❯
