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- Tasks: Join a high-performing team to deliver innovative data solutions for financial services clients.
- Company: Dynamic start-up focused on cutting-edge data engineering in the finance sector.
- Benefits: Fully remote work, competitive pay, and long-term contract opportunities.
- Why this job: Make a real impact by solving complex data challenges in the reinsurance domain.
- Qualifications: Experience with Python, SQL, Databricks, and a background in financial data.
- Other info: Fast-paced environment with opportunities for professional growth and development.
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.
- Working in a fast-paced start-up agile and high-pressure environment.
- DBT: Transforming raw data in the warehouse into clean, tested & documented models using SQL.
- Databricks: Must have recent experience.
- 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 3 years.
- Investment & Financial: Experience with investment-related projects or working in the reinsurance or life insurance domain.
- SQL: Data manipulation and querying.
- Python: Experience in libraries like Pandas and NumPy.
- Communication: Excellent senior stakeholder, articulate, presenting & engagement skills.
- Fully Remote
- Outside IR35
- Long term contract
- c£500/Day
Senior Data Engineer (Python, Databricks, DBT) in London employer: Toucanberry Tech
Contact Detail:
Toucanberry Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Python, Databricks, DBT) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data manipulation projects, especially those using Python, Databricks, and DBT. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to engage with senior stakeholders. We want you to shine when discussing your experience with financial data!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer (Python, Databricks, DBT) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Databricks, and DBT. We want to see how you've tackled complex data challenges in the past, especially in financial services. Customising your CV for this role will help us see you as a perfect fit!
Showcase Your Projects: Include specific examples of projects where you've used data manipulation and analysis to drive decisions. We love seeing real-world applications of your skills, so don’t hold back on sharing your successes and the impact they had!
Be Clear and Concise: When writing your cover letter, keep it straightforward and to the point. We appreciate clarity, so make sure you articulate your experience and how it aligns with our needs without waffling on too much.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen to join our team!
How to prepare for a job interview at Toucanberry Tech
✨Know Your Tech Stack
Make sure you brush up on your Python skills, especially with libraries like Pandas and NumPy. Familiarise yourself with Databricks and DBT, as these are crucial for the role. Be ready to discuss how you've used these tools in past projects.
✨Understand the Financial Domain
Since this role involves working with financial services clients, it’s essential to have a solid grasp of investment-related concepts. Brush up on your knowledge of financial securities and trading data, and be prepared to discuss any relevant experience you have in the reinsurance or life insurance sectors.
✨Prepare for Data Challenges
Expect to tackle complex data manipulation scenarios during the interview. Think about specific examples where you've solved tough data problems and be ready to explain your thought process and the tools you used to achieve results.
✨Showcase Your Communication Skills
This role requires excellent communication with senior stakeholders. Practice articulating your ideas clearly and concisely. Prepare to present a past project or solution you've worked on, highlighting how you engaged with stakeholders and translated their needs into effective data solutions.