Senior Data Engineer - Outside IR35

Orbis; United Kingdom; Remote; GBP 60,000 - 80,000; Full time

Job summary

A financial services consulting firm seeks a Senior Data Engineer to design and implement data pipelines. The ideal candidate has a strong background in Python, SQL, and experience with GCP and Databricks. This role involves working with complex financial datasets, automating processes, and delivering insights to stakeholders. The position is fully remote for UK-based applicants and has a duration of 6 months.

Qualifications

• Strong background in Actuarial and Asset Management Excel Files.
• Experience working in the financial services or investment sectors.
• Proficient in SQL for data manipulation and querying.

Responsibilities

• Build end-to-end data pipelines in financial services environments.
• Automate processes and integrate multiple data sources.
• Deliver actionable insights to senior stakeholders.

Skills

Actuarial and Asset Management Excel Files

Investment & Financial domain knowledge

SQL

Python (Pandas and NumPy)

Cloud Platform (GCP, BigQuery)

DBT and Databricks

Investment-related projects experience

Job description

Overview

Senior Data Engineer - Python - GCP - Databricks - Actuarial and Asset Management Excel Files - Investment/Financial/Insurance Industry Experience

Our client in the financial services space are looking for a Senior Data Engineer with experience in Actuarial and Asset Management Excel Files. As well as a strong background with Python, SQL, GCP and Databricks, working on large-scale, complex datasets and building end-to-end data pipelines in financial services environments, including automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders.

Key Skills

• Actuarial and Asset Management Excel Files
• Investment & Financial domain knowledge: Have worked within the operations team for an asset management department and understands assets data, like financial securities
• SQL: Data manipulation and querying
• Python: Experience in libraries like Pandas and NumPy
• Cloud Platform: Building on GCP using BigQuery
• Familiarity with tools like DBT and Databricks
• Experience with investment-related projects or working in the reinsurance or life insurance domain

Rate - DoE Outside IR35

Location - Full remote (UK based)

Duration - 6 months rolling

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