Mid Data Engineer (Python, Sql, Asset Management)

Toucanberry Tech; Remote; GBP 60,000 - 80,000; Full time

Job summary

A financial consultancy is seeking a Data Analyst to support senior business experts in financial services through complex data analysis and insights. You will use Python and SQL for data manipulation while collaborating with experts to design effective data solutions. A degree in investments or accounting is required, along with a solid understanding of the financial domain. This is a fully remote role offering competitive day rates.

Benefits

Fully Remote

Outside IR35

Long term contract

Qualifications

• Experience in the financial sector, particularly within asset management operations.
• Proficient in SQL for data manipulation and querying.
• Familiarity with cloud platforms, especially GCP.

Responsibilities

• Perform complex data manipulation and analysis for senior business experts.
• Utilise Python and its data libraries for large datasets and automation.
• Design and execute data mapping and analysis projects.

Skills

Data manipulation and analysis

Python

SQL

Financial domain knowledge

Education

Degree in investments/accounting/actuarial fields

Tools

BigQuery

Pandas

NumPy

Job description

You will join one of our high-performing consultant teams, delivering cutting‑edge solutions for our financial services clients. This is a hands‑on role where your data analysis skills and financial acumen will be essential to supporting senior business experts. You will be moving beyond the limitations of standard tools like Excel to solve complex data challenges. Working directly with critical data in the reinsurance domain, performing data crunching & providing actionable insights that inform key decisions.

Key Responsibilities

• Perform complex data manipulation and analysis to support senior business experts and stakeholders.
• Utilise Python and its data libraries to handle large datasets and automate analytical tasks.
• Design and execute robust data mapping and analysis projects.
• Work with our expert teams to understand client needs and translate them into effective data solutions.

Requirements

• Investment & Financial domain knowledge : Have worked within the operations team for an asset management department and understands assets data, like financial securities within the last 2 years.
• SQL : Data manipulation and querying.
• Python : Experience in libraries like Pandas and NumPy.
• Cloud Platform : Building on GCP using BigQuery
• Education : Degree within investments / accounting / actuarial fields from a UK based university.

Nice-to-Haves

• Familiarity with tools like dbt and Databricks
• Experience with investment-related projects or working in the reinsurance or life insurance domain.

Benefits

• Fully Remote
• Outside IR35
• Long term contract
• £500 / day