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Mid Data Engineer (SQL, Python)
Job summary
A leading tech firm is seeking a Mid Data Engineer to join their high-performing consultant teams. In this fully remote role, you will utilize your data analysis skills and financial domain knowledge to solve complex data challenges in the reinsurance sector. Key responsibilities include data manipulation, utilizing Python and SQL, and executing data mapping projects. The ideal candidate has a relevant degree and experience in the investment and financial domain.
Qualifications
- Investment & Financial domain knowledge with experience in asset management.
- Proficient in SQL for data manipulation and querying.
- Experience with Python and its data libraries like Pandas and NumPy.
- Familiar with cloud platforms, specifically GCP using BigQuery.
Responsibilities
- Perform complex data manipulation and analysis to support business experts.
- Utilize Python for handling large datasets and automating tasks.
- Design and execute data mapping and analysis projects.
- Translate client needs into effective data solutions.
Skills
Education
Tools
As a Mid Data Engineer at Toucanberry Tech, 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.
- Perform complex data manipulation and analysis to support senior business experts and stakeholders.
- Utilize 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.
Must Have:
- 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 is a plus, but not a requirement.
- Experience with investment-related projects or working in the reinsurance or life insurance domain.
- Fully Remote
- Outside IR35
- Long term contract
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.