Data Analytics Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a 12-month contract for a Data Analytics Engineer in London, requiring 4 days on-site. Key skills include Python, PowerBI, Azure, and Databricks, with experience in Financial Services and strong communication abilities essential.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 23, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Data Pipeline #Azure #Automation #Scala #Python #Data Automation #Databricks
Role description
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: β€’ Automate and optimize reporting processes using Python, PowerBI, Azure and Databricks. β€’ Develop and maintain dashboards to support business decision-making. β€’ Collaborate closely with business stakeholders to understand requirements and deliver tailored data solutions. β€’ Provide analytical support and solutions for Risk, Front Office, and Asset Management teams. β€’ Contribute to the design and implementation of scalable data pipelines on Azure. β€’ Support the budgeting process and workforce planning by providing data-driven insights. Key requirements: β€’ Proven experience in Financial Services (ideally with exposure to Quantitative Analytics, Risk Modelling, etc.) β€’ Advanced proficiency in Python, PowerBI, Databricks, and Azure. β€’ Strong background in dashboarding, data automation, and process optimization. β€’ Excellent communication skills and ability to work with business stakeholders e.g. Risk Managers, Portfolio Managers, etc. β€’ 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.