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- Tasks: Analyse complex data and provide innovative solutions for financial services clients.
- Company: Dynamic technology consultancy with a focus on data-driven solutions.
- Benefits: Competitive daily rate, remote work flexibility, and engaging projects.
- Why this job: Join a high-performing team and make an impact in the financial sector.
- Qualifications: Strong Python and SQL skills, plus experience in investment-related projects.
- Other info: Hands-on role with excellent opportunities for professional growth.
The predicted salary is between 130000 - 130000 £ per year.
A technology consultancy is looking for a skilled data consultant to join its high-performing team in providing data solutions for financial services clients. The role involves complex data analysis, requiring strong proficiency in Python and SQL, along with experience in investment-related projects. You will work remotely, taking on a hands-on role that demands excellent stakeholder communication and data manipulation skills. Competitive rate of approximately £500 per day offered.
Senior Data Engineer - Python, Databricks & DBT (Remote) 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 (Remote) 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 dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those involving Python, SQL, and Databricks. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and stakeholder communication skills. Practice common interview questions related to data engineering and be ready to discuss your past projects in detail.
✨Tip Number 4
Don't forget to apply through our website! We have plenty of exciting opportunities that match your skills, and applying directly can help you stand out from the crowd. Let's get you that Senior Data Engineer role!
We think you need these skills to ace Senior Data Engineer - Python, Databricks & DBT (Remote) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and SQL right from the get-go. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with investment-related projects!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your past experiences relate to the data solutions we provide for financial services clients. This will help us see why you’re the perfect fit!
Communicate Clearly: Since excellent stakeholder communication is key, ensure your written application is clear and concise. Use straightforward language to explain your previous roles and how they’ve prepared you for this hands-on position.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Toucanberry Tech
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in investment-related contexts. This will show that you not only know the tools but can apply them effectively.
✨Showcase Your Data Analysis Skills
Prepare to talk about complex data analysis you've conducted in previous roles. Bring examples of how your analysis led to actionable insights or improved processes. This will demonstrate your hands-on experience and problem-solving abilities.
✨Communicate Like a Pro
Since stakeholder communication is key, practice explaining technical concepts in simple terms. Think about how you would present your findings to someone without a technical background. This will highlight your ability to bridge the gap between data and business needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the specific challenges they face in financial services. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.