At a Glance
- Tasks: Lead the implementation of Astronomer and manage complex data pipelines.
- Company: Join a leading consultancy in the asset management sector.
- Benefits: Competitive daily rate, hybrid work model, and potential contract extension.
- Other info: Opportunity for professional growth and collaboration in a dynamic team.
- Why this job: Make an impact in data engineering while working with cutting-edge technologies.
- Qualifications: Experience with Astronomer, Apache Airflow, dbt, and Snowflake required.
The predicted salary is between 45000 - 55000 £ per year.
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 (possible extension)
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.
- 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.
Senior Astronomer Data Engineer in London employer: Squareone
At Square One, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team enjoys flexible hybrid working arrangements, competitive compensation, and ample opportunities for professional growth in the rapidly evolving field of finance transformation. Join us to make a meaningful impact while advancing your career in a supportive and diverse environment.
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We think you need these skills to ace Senior Astronomer Data Engineer in London
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