Mid Data Engineer (Python, SQL, DBT)

Dubizzle Limited; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading financial services firm is seeking a Data Analyst to join its high-performing consultant team. The role requires expertise in data manipulation and analysis to support senior stakeholders, utilizing tools like Python and SQL. You'll design robust data solutions, handle significant datasets, and provide actionable insights. This remote role offers a long-term contract with daily rates between £400 and £500, suitable for candidates with relevant domain knowledge in asset management or reinsurance.

Qualifications

• Experience in asset management operations and understanding of asset data.
• Background in investment-related projects, particularly in reinsurance.
• Ability to engage and present to senior stakeholders.

Responsibilities

• Perform complex data manipulation and analysis.
• Utilize Python's data libraries for large datasets.
• Design and execute data mapping and analysis projects.
• Understand client needs and translate them into data solutions.
• Work in a fast-paced, agile start-up environment.

Skills

Data manipulation

Python

SQL

Communication

Leadership

Tools

Pandas

NumPy

DBT

Job description

Overview

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.

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.
• Working in a fast paced start-up agile and high pressure environment.

Qualifications

• Domain knowledge: Have worked within the operations team for an asset management department and understands assets data, like financial securities, trading data within the last 2 years
• Investment & Financial: Experience with investment-related projects or working in the reinsurance or life insurance domain.
• SQL: Data manipulation and querying.
• DBT: Transforming raw data in the warehouse into clean, tested & documented models using SQL.
• Python: Experience in libraries like Pandas and NumPy.
• Leadership: Make decisions on data warehouse, self starter, lead a team
• Communication: Excellent senior stakeholder, articulate, presenting & engagement skills.

Engagement & Benefits

• Fully Remote
• Outside IR35
• Long term contract
• £400 - £500/Day