Orbis Group
Senior Data Engineer - Actuarial / Asset Management Data – Investment/Financial/Insurance Experience
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Engineer focusing on actuarial and asset management data, requiring 6 months of remote work in the UK. Key skills include Python, SQL, GCP, and experience in investment or insurance operations with financial securities. Pay rate is D.O.E. Outside IR35.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 16, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#GCP (Google Cloud Platform) #NumPy #SQL (Structured Query Language) #BigQuery #Data Pipeline #Cloud #Databricks #Python #Scala #Data Engineering #Pandas #dbt (data build tool) #Datasets
Role description
Our client, an award-winning fintech specialising in investment and insurance data solutions, is urgently seeking a Senior Data Engineer.
You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders.
Only candidates with direct experience in investment, asset management, or reinsurance/insurance operations handling financial securities or actuarial outputs will be considered.
Key Skills & Experience:
• Actuarial / Asset Management Data: Hands-on experience with financial securities, portfolio valuations, or actuarial outputs in investment, reinsurance, or life insurance environments.
• Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL.
• Cloud / Tools: Experience with GCP (BigQuery), DBT, and Databricks.
• Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics.
Rate: D.O.E Outside IR35
Location: Full remote (UK based)
Duration: 6 months rolling
Our client, an award-winning fintech specialising in investment and insurance data solutions, is urgently seeking a Senior Data Engineer.
You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders.
Only candidates with direct experience in investment, asset management, or reinsurance/insurance operations handling financial securities or actuarial outputs will be considered.
Key Skills & Experience:
• Actuarial / Asset Management Data: Hands-on experience with financial securities, portfolio valuations, or actuarial outputs in investment, reinsurance, or life insurance environments.
• Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL.
• Cloud / Tools: Experience with GCP (BigQuery), DBT, and Databricks.
• Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics.
Rate: D.O.E Outside IR35
Location: Full remote (UK based)
Duration: 6 months rolling
