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- Tasks: Lead data-driven initiatives and enhance analytics solutions in a collaborative environment.
- Company: Global investment manager based in London, at the heart of the UK's financial centre.
- Benefits: Opportunity to work in a dynamic tech environment with potential for career growth.
- Why this job: Make a real impact by improving decision-making through actionable insights.
- Qualifications: Experience in data engineering, Power BI, and building scalable data pipelines.
- Other info: Collaborate with various stakeholders to implement reporting and analytics processes.
The predicted salary is between 48000 - 72000 £ per year.
A global investment manager is seeking a Principal Data Engineer in London to lead data-driven initiatives and enhance analytics solutions. The role emphasizes collaboration with various stakeholders to implement reporting and analytics processes, leveraging extensive knowledge in data engineering, Power BI, and multi-cloud platforms.
Candidates should be skilled in building scalable data pipelines and improving decision-making through actionable insights. This position offers an opportunity to work in a dynamic technology environment at the heart of the UK's financial centre.
Senior Data Engineer – Data Platform & Analytics (Contract) in London employer: Schroders UK
Contact Detail:
Schroders UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer – Data Platform & Analytics (Contract) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving data pipelines and analytics solutions. 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 soft skills. Be ready to discuss how you've collaborated with stakeholders in the past and how you can enhance their analytics processes.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Data Engineer – Data Platform & Analytics (Contract) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and analytics. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in building scalable data pipelines and using tools like Power BI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data-driven initiatives and how you can contribute to our team. We love seeing candidates who can articulate their vision for enhancing analytics solutions.
Showcase Collaboration Skills: Since this role involves working with various stakeholders, make sure to highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you’ve worked with others to implement reporting and analytics processes.
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 on joining our dynamic technology environment!
How to prepare for a job interview at Schroders UK
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially around building scalable data pipelines. Be ready to discuss your experience with Power BI and multi-cloud platforms, as these are crucial for the role.
✨Showcase Your Collaboration Skills
Since the job involves working with various stakeholders, prepare examples of how you've successfully collaborated in past projects. Highlight your ability to communicate complex data concepts in a way that everyone can understand.
✨Prepare for Technical Questions
Expect some technical questions that will test your knowledge of analytics solutions and reporting processes. Practise explaining your thought process when tackling data challenges, as this will demonstrate your problem-solving abilities.
✨Bring Actionable Insights
Think of specific instances where your work led to actionable insights that improved decision-making. Be ready to share these examples during the interview to show how you can add value to their data-driven initiatives.
