Data Analytics Engineer
We are collaborating closely with a global alternative Asset Management group specializing in private debt, real assets, private equity, and capital markets strategies. Headquartered in Europe, it operates across multiple continents with a strong presence in major financial centers.
They are looking to build out their Data Hub in London and will begin by welcoming a Senior Data Analytics Engineer onto the team on a contract basis. You will play a key role in automating reporting processes, building dashboards, and delivering actionable insights for business stakeholders-primarily in Risk, Front Office, and Asset Management.
Title: Data Analytics Engineer
Type: Contract
Duration: 12 months
Location: London (4 days on-site required)
Daily rate: DoE
Key responsibilities:
- Automate and optimize reporting processes using Python, PowerBI, Azure and Databricks.
- Develop and maintain dashboards to support business decision-making.
- Collaborate closely with business stakeholders to understand requirements and deliver tailored data solutions.
- Provide analytical support and solutions for Risk, Front Office, and Asset Management teams.
- Contribute to the design and implementation of scalable data pipelines on Azure.
- Support the budgeting process and workforce planning by providing data-driven insights.
Key requirements:
- Proven experience in Financial Services (ideally with exposure to Quantitative Analytics, Risk Modelling, etc.)
- Advanced proficiency in Python, PowerBI, Databricks, and Azure.
- Strong background in dashboarding, data automation, and process optimization.
- Excellent communication skills and ability to work with business stakeholders e.g. Risk Managers, Portfolio Managers, etc.
- Experience working in a multi-location, fast-paced environment.
Does this sound like a good fit for you? Submit your application today and we'll be in touch ASAP.
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