Senior Data Engineer - Astronomer (Astro)
Jobleads UK · City Of London, England, United Kingdom
FULL TIME
Job Description
Job Title: Senior Data Engineer - Astronomer (Astro)
Location: London (hybrid - 3 days onsite per week)
Salary/Rate: £700-800 per day inside IR35
Start Date: 2-3 weeks
Job Type: Initial contract until February 2027, with scope to extend Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Senior Data Engineer / Consultant to support the implementation and deployment of Astronomer (Astro) within a leading asset management organisation. Job Responsibilities/Objectives Astronomer is built around Apache Airflow and is used to develop, schedule, automate and manage complex data pipelines. The organisation is currently implementing the platform and requires an experienced engineer to complete the build and deployment before the current resource leaves.
The successful candidate will work closely with the existing data engineering team, taking ownership of the implementation and providing training and support to upskill the wider team.
Experience with Astronomer/Astro is essential, alongside knowledge of Apache Airflow, dbt and Snowflake. Key Responsibilities Lead the implementation, build and deployment of Astronomer (Astro). Configure and manage Apache Airflow to schedule, automate and orchestrate data pipelines. Work with dbt and Snowflake within the existing data platform. Troubleshoot technical issues and ensure the platform is ready for production. Work closely with the existing data engineering team to support implementation and integration. Establish best practices for pipeline development, monitoring and maintenance. Document technical processes, configurations and deployment procedures. Train and upskill the wider engineering team to enable them to use and maintain the platform independently. Essential Experience Proven hands-on experience implementing and deploying Astronomer (Astro). Strong knowledge of Apache Airflow, including workflow orchestration and pipeline scheduling. Experience building, deploying and managing data pipelines. Experience with dbt and Snowflake. Strong technical troubleshooting and problem-solving skills. Ability to take ownership of implementation and deployment activities. Experience sharing knowledge and supporting or training other engineers. Strong communication and collaboration skills. Desirable Experience Experience working with cloud platforms such as AWS, Azure or GCP. Knowledge of CI/CD, version control and automated deployment practices. Experience with pipeline monitoring, alerting and production support. Previous experience within asset management, investment management or financial services. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement. #J-18808-Ljbffr
Location: London (hybrid - 3 days onsite per week)
Salary/Rate: £700-800 per day inside IR35
Start Date: 2-3 weeks
Job Type: Initial contract until February 2027, with scope to extend Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Senior Data Engineer / Consultant to support the implementation and deployment of Astronomer (Astro) within a leading asset management organisation. Job Responsibilities/Objectives Astronomer is built around Apache Airflow and is used to develop, schedule, automate and manage complex data pipelines. The organisation is currently implementing the platform and requires an experienced engineer to complete the build and deployment before the current resource leaves.
The successful candidate will work closely with the existing data engineering team, taking ownership of the implementation and providing training and support to upskill the wider team.
Experience with Astronomer/Astro is essential, alongside knowledge of Apache Airflow, dbt and Snowflake. Key Responsibilities Lead the implementation, build and deployment of Astronomer (Astro). Configure and manage Apache Airflow to schedule, automate and orchestrate data pipelines. Work with dbt and Snowflake within the existing data platform. Troubleshoot technical issues and ensure the platform is ready for production. Work closely with the existing data engineering team to support implementation and integration. Establish best practices for pipeline development, monitoring and maintenance. Document technical processes, configurations and deployment procedures. Train and upskill the wider engineering team to enable them to use and maintain the platform independently. Essential Experience Proven hands-on experience implementing and deploying Astronomer (Astro). Strong knowledge of Apache Airflow, including workflow orchestration and pipeline scheduling. Experience building, deploying and managing data pipelines. Experience with dbt and Snowflake. Strong technical troubleshooting and problem-solving skills. Ability to take ownership of implementation and deployment activities. Experience sharing knowledge and supporting or training other engineers. Strong communication and collaboration skills. Desirable Experience Experience working with cloud platforms such as AWS, Azure or GCP. Knowledge of CI/CD, version control and automated deployment practices. Experience with pipeline monitoring, alerting and production support. Previous experience within asset management, investment management or financial services. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement. #J-18808-Ljbffr
Details
| Company | Jobleads UK |
| Location | City Of London, England, United Kingdom |
| Type | FULL TIME |
| Niche | general |