Data Engineer

2 weeks ago


London, United Kingdom Pantheon Full time

Pantheon is an international investor in private equity, infrastructure & real assets and debt that invests on behalf of over 680 institutional investors (as at June 30, 2021), including public and private pension plans, insurance companies, endowments and foundations. Pantheon’s investment strategies include primary fund programs, secondaries, co-investments, infrastructure, real assets, real estate, private debt and customized programs. Pantheon also manages and advises Pantheon International Plc. (“Pantheon is headquartered in London with further offices in San Francisco, Hong Kong, Bogotá, Seoul, Tokyo, New York, Dublin and Berlin.
Pantheon is owned by Affiliated Managers Group Inc (“AMG”), alongside senior members of the Pantheon team. AMG is a NYSE-listed asset management company with equity investments in leading boutique investment management firms. The ownership structure, with Pantheon management owning a meaningful share of the equity in the business, provides a framework for long-term succession and enables Pantheon management to continue to direct the firm’s day-to-day operations.
For further details, please visit our website:
Pantheon is undergoing a multi-year programme to build out a new best in class Data Platform using cloud native technologies hosted in Azure. We require an experienced and passionate hands-on Senior Data Engineer to design and implement new data pipelines, as well as modify and maintain existing traditional in-house Enterprise Data Warehouse solution for adaption to business and/or technology changes. This role will be integral to the success of this programme and establishing Pantheon as a data-centric organisation.
You will be working with Azure tech stack and proven experience of ingesting and transforming data from a variety of internal and external systems is core to the role.
Pantheon require a highly capable, enthusiastic and experienced individual to join our team who will design and implement development activities to build out a new best in class Data Warehouse in cloud native Azure technology. The Data Engineer will design and execute development activities across projects ensuring that the software produced is written in a standard, maintainable and efficient manner.
Develop, modify, implement, and support software components.
Determine root cause for the most complex data / software issues and develop practical, efficient, and permanent technical solutions.
Communicate with the project manager and peers on a frequent basis, identifying risks, issues and dependencies and working with other tech leads and IT groups to resolve
Assist in task planning, estimation, scheduling, and staffing.
Mentor other developers to allow for skill/knowledge development through advice, coaching, and training opportunities.
Carry out design, code, and test peer reviews throughout project providing technical guidance and to identify issues. Understands and complies with all relevant IT and Security policies and procedures ensuring compliance across all projects technical deliverables.
Minimum 5 years’ experience in designing and developing data warehouse solutions.
Building and configuring multistage Azure deployment pipelines
Advanced SQL, Python, PySpark
Azure Data Lake, Data Factory, Databricks and Functions
Azure Data Lake Storage Gen2
Traditional ETL (Business Objects Data Services, Informatica, SSIS etc.)
Experience in designing and building data ingestion and transformation pipelines, data lake, data warehouse / data marts etc.
Experience working with Agile development methodologies such as Kanban/Scrum
Power BI


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