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For Companies At a Glance
- Tasks: Analyse and implement data automation tasks while enhancing data practices.
- Company: Global asset management firm with a strong focus on data innovation.
- Benefits: Up to £120,000 salary, 40% bonus, top healthcare, and onsite gym.
- Why this job: Join a dynamic team and make a real impact in the financial industry.
- Qualifications: Strong Python and SQL skills, plus a degree from a Russell Group University.
- Other info: Hybrid role in Central London with excellent career progression opportunities.
The predicted salary is between 80000 - 120000 £ per year.
Overview
Role: Data Analytics Engineer
Salary: £80,000 – £120,000 DOE + 40% Annual Bonus
Location: Central London (Hybrid)
Contract: Full Time, Perm
We have partnered with a global asset management company based in Central London with an asset under management value of 17 billion. They’re looking to expand their Data Team by recruiting a Data Engineer who will be responsible for expanding the expertise within the data engineering team. The company is currently looking to design and implement enhancements to their data practices, data policies and data platforms.
The position is hybrid with their office based in Central London. The salary for this position is up to £120,000 plus 40% bonus, top class healthcare, non-contributory pension, onsite gym along with excellent career progression, learning & development opportunities.
Responsibilities
- Analysis and implementation of data automation tasks
- Implementation of pragmatic data governance methodology
- Analyse a wide variety of data sets across multiple asset classes
Requirements
- Strong Python experience
- Strong SQL experience
- 2:1 or above in Mathematics, Statistics, Physics, Computer Science or similar from Russell Group University
- 4 plus years’ of experience in a data specialist role with demonstrable financial industry knowledge
- Data engineering (data wrangling, data cleaning, data architecture) experience
If you’re interested, apply today!!
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Data Analytics Engineer employer: TW
Contact Detail:
TW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to connections in the data analytics field, especially those who work at asset management firms. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and SQL. 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 common data engineering questions. We recommend practising your answers to technical questions and being ready to discuss your experience with data governance and automation tasks.
✨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 Data Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analytics Engineer role. Highlight your strong Python and SQL experience, and don’t forget to mention any relevant projects or achievements that showcase your data engineering skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how your background aligns with the company’s goals. Be sure to mention your experience in the financial industry and any specific data practices you’ve implemented.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. This could be through data automation tasks or implementing data governance methodologies. We want to see your analytical mindset in action!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at TW
✨Know Your Data Inside Out
Make sure you’re well-versed in the data practices and policies relevant to the role. Brush up on your Python and SQL skills, as these will likely be tested. Be prepared to discuss specific projects where you've implemented data automation or governance.
✨Showcase Your Financial Knowledge
Since the company operates in asset management, it’s crucial to demonstrate your understanding of financial data. Prepare examples of how you've worked with various asset classes and how your data engineering skills have contributed to financial insights.
✨Prepare for Technical Questions
Expect technical questions that assess your data engineering capabilities. Practice explaining your approach to data wrangling, cleaning, and architecture. Use real-world scenarios from your experience to illustrate your problem-solving skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy and team dynamics. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
