ensure the smooth delivery of daily data loads across multiple systems. Key Responsibilities Lead daily data operations and ensure end-to-end completion of data loads. Monitor and debug Airflow workflows, resolving issues efficiently. Manage a team of offshore data engineers, providing technical direction and support. Collaborate with stakeholders to troubleshoot data discrepancies and root-cause issues in reports. … business and technical stakeholders to improve data reliability and transparency. Identify opportunities for automation and process optimisation once BAU stability is achieved. Technical Environment AWS (data storage and processing) ApacheAirflow (workflow orchestration) Power BI (reporting and analytics) What We’re Looking For Strong background in data engineering or data operations. Experience managing or mentoring offshore technical teams. More ❯
in Snowflake internals like Snowflake Roles dynamic tables streams and tasks policies etc Mandatory Skills : Snowflake, ANSI-SQL, Dimensional Data Modeling, Snow park Container services, Snowflake-Data Science , DBT, Airflow If you are interested, please contact or apply here. More ❯
in Snowflake internals like Snowflake Roles dynamic tables streams and tasks policies etc Mandatory Skills : Snowflake, ANSI-SQL, Dimensional Data Modeling, Snow park Container services, Snowflake-Data Science , DBT, Airflow If you are interested, please contact hrajendran@redglobal.com or apply here. More ❯
warrington, cheshire, north west england, united kingdom
RED Global
in Snowflake internals like Snowflake Roles dynamic tables streams and tasks policies etc Mandatory Skills : Snowflake, ANSI-SQL, Dimensional Data Modeling, Snow park Container services, Snowflake-Data Science , DBT, Airflow If you are interested, please contact hrajendran@redglobal.com or apply here. More ❯
bolton, greater manchester, north west england, united kingdom
RED Global
in Snowflake internals like Snowflake Roles dynamic tables streams and tasks policies etc Mandatory Skills : Snowflake, ANSI-SQL, Dimensional Data Modeling, Snow park Container services, Snowflake-Data Science , DBT, Airflow If you are interested, please contact hrajendran@redglobal.com or apply here. More ❯
in Snowflake internals like Snowflake Roles dynamic tables streams and tasks policies etc Mandatory Skills : Snowflake, ANSI-SQL, Dimensional Data Modeling, Snow park Container services, Snowflake-Data Science , DBT, Airflow If you are interested, please contact hrajendran@redglobal.com or apply here. More ❯
business to get closer to their customers, informing business strategy and decision making. Help and lead the development of automation solutions and workflow integrations, using platforms such as Databricks, Airflow, Power Apps, Power Automat. Help define the right data flow architecture that delivers tangible results quickly. Lead and develop a small team of Analysts. Develop internal relationships with key More ❯
business to get closer to their customers, informing business strategy and decision making. Help and lead the development of automation solutions and workflow integrations, using platforms such as Databricks, Airflow, Power Apps, Power Automat. Help define the right data flow architecture that delivers tangible results quickly. Lead and develop a small team of Analysts. Develop internal relationships with key More ❯
business to get closer to their customers, informing business strategy and decision making. Help and lead the development of automation solutions and workflow integrations, using platforms such as Databricks, Airflow, Power Apps, Power Automat. Help define the right data flow architecture that delivers tangible results quickly. Lead and develop a small team of Analysts. Develop internal relationships with key More ❯
You will ideally be an experienced engineer, a confident communicator, business facing and with several years experience delivering cloud engineering solutions (they’re open to any platform), using Python, Airflow, SQL, data modelling, ETL and real time analytics. Any experience within the life sciences space (through university and/or industry) would also be a huge plus. Please note More ❯
research. You will ideally be an experienced engineer, a confident communicator, business facing and with several years experience delivering cloud engineering solutions (theyre open to any platform), using Python, Airflow, SQL, data modelling, ETL and real time analytics. Any experience within the life sciences space (through university and/or industry) would also be a huge plus. Please note More ❯
oxford district, south east england, united kingdom
La Fosse
You will ideally be an experienced engineer, a confident communicator, business facing and with several years experience delivering cloud engineering solutions (they’re open to any platform), using Python, Airflow, SQL, data modelling, ETL and real time analytics. Any experience within the life sciences space (through university and/or industry) would also be a huge plus. Please note More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Sanderson Recruitment
on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people More ❯
search, RAG, and feature engineering Implement secure access and governance controls including RBAC, SSO, token policies, and pseudonymisation frameworks Support batch and streaming data flows using technologies like Kafka, Airflow, and Terraform Monitor and optimise cloud resource usage to ensure performance and cost efficiency Collaborate with cross-functional teams on architecture decisions, technical designs, and data governance standards You More ❯
search, RAG, and feature engineering Implement secure access and governance controls including RBAC, SSO, token policies, and pseudonymisation frameworks Support batch and streaming data flows using technologies like Kafka, Airflow, and Terraform Monitor and optimise cloud resource usage to ensure performance and cost efficiency Collaborate with cross-functional teams on architecture decisions, technical designs, and data governance standards You More ❯
search, RAG, and feature engineering Implement secure access and governance controls including RBAC, SSO, token policies, and pseudonymisation frameworks Support batch and streaming data flows using technologies like Kafka, Airflow, and Terraform Monitor and optimise cloud resource usage to ensure performance and cost efficiency Collaborate with cross-functional teams on architecture decisions, technical designs, and data governance standards You More ❯
search, RAG, and feature engineering Implement secure access and governance controls including RBAC, SSO, token policies, and pseudonymisation frameworks Support batch and streaming data flows using technologies like Kafka, Airflow, and Terraform Monitor and optimise cloud resource usage to ensure performance and cost efficiency Collaborate with cross-functional teams on architecture decisions, technical designs, and data governance standards You More ❯
london (city of london), south east england, united kingdom
Xcede
search, RAG, and feature engineering Implement secure access and governance controls including RBAC, SSO, token policies, and pseudonymisation frameworks Support batch and streaming data flows using technologies like Kafka, Airflow, and Terraform Monitor and optimise cloud resource usage to ensure performance and cost efficiency Collaborate with cross-functional teams on architecture decisions, technical designs, and data governance standards You More ❯
Kubernetes & Helm: Deploying and managing containerized applications at scale with reliability and fault tolerance. Kafka (Confluent): Familiarity with event-driven architectures; experience with Flink or KSQL is a plus. Airflow: Experience configuring, maintaining, and optimizing DAGs. Energy or commodity trading: Understanding the data challenges and workflows in this sector. Trading domain knowledge: Awareness of real-time decision-making and More ❯
Kubernetes & Helm: Deploying and managing containerized applications at scale with reliability and fault tolerance. Kafka (Confluent): Familiarity with event-driven architectures; experience with Flink or KSQL is a plus. Airflow: Experience configuring, maintaining, and optimizing DAGs. Energy or commodity trading: Understanding the data challenges and workflows in this sector. Trading domain knowledge: Awareness of real-time decision-making and More ❯
Kubernetes & Helm: Deploying and managing containerized applications at scale with reliability and fault tolerance. Kafka (Confluent): Familiarity with event-driven architectures; experience with Flink or KSQL is a plus. Airflow: Experience configuring, maintaining, and optimizing DAGs. Energy or commodity trading: Understanding the data challenges and workflows in this sector. Trading domain knowledge: Awareness of real-time decision-making and More ❯
Kubernetes & Helm: Deploying and managing containerized applications at scale with reliability and fault tolerance. Kafka (Confluent): Familiarity with event-driven architectures; experience with Flink or KSQL is a plus. Airflow: Experience configuring, maintaining, and optimizing DAGs. Energy or commodity trading: Understanding the data challenges and workflows in this sector. Trading domain knowledge: Awareness of real-time decision-making and More ❯
