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- Tasks: Enhance data processes and build pipelines to deliver valuable insights.
- Company: Dynamic financial services organisation with a focus on innovation.
- Benefits: Generous benefits package, hybrid working model, and career development opportunities.
- Other info: Join a team dedicated to modernising data processes and tackling complex datasets.
- Why this job: Influence data strategy and work closely with senior leadership.
- Qualifications: Experience in SQL and Power BI, plus strong problem-solving skills.
The predicted salary is between 45000 - 55000 £ per year.
A financial services organisation is searching for a Data Engineer to enhance data processes and build pipelines. Based in Epsom with a hybrid model, this position offers a chance to influence data strategy and work with senior leadership.
Ideal candidates will have experience in SQL and Power BI, alongside problem-solving skills. A generous benefits package is provided, aiming for candidates who can untangle complex datasets and drive the data modernization initiative.
Data Engineer: Modernize Pipelines & Deliver Insight in London employer: Integral Recruitment Ltd
Contact Detail:
Integral Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Modernize Pipelines & Deliver Insight in London
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector, especially those working with data. 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 SQL and Power BI projects. This gives you a chance to demonstrate your problem-solving abilities and how you can tackle complex datasets.
✨Tip Number 3
Prepare for interviews by brushing up on data strategy discussions. Be ready to share your thoughts on modernising data pipelines and how you can influence decision-making at a senior level.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Engineer: Modernize Pipelines & Deliver Insight in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and Power BI in your application. We want to see how you've used these tools to tackle complex datasets and drive data processes.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your skills align with our needs for modernising data pipelines and influencing strategy.
Be Problem-Solving Savvy: We love candidates who can think on their feet! Share examples of how you've solved tricky data problems in the past. This will show us you’re ready to take on challenges head-on.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!
How to prepare for a job interview at Integral Recruitment Ltd
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with complex queries and how you've used SQL to solve data problems in the past. Practising some common SQL questions can really help you stand out.
✨Showcase Your Power BI Expertise
Since this role involves Power BI, be ready to talk about specific projects where you've used it. Bring examples of dashboards or reports you've created, and explain how they provided insights that influenced decision-making. Visuals can make a big impact!
✨Demonstrate Problem-Solving Skills
Prepare to discuss scenarios where you've tackled complex datasets. Think about challenges you've faced and how you approached them. This will show your analytical thinking and ability to drive data modernization initiatives effectively.
✨Understand the Company’s Data Strategy
Research the financial services organisation and their current data strategy. Knowing their goals and challenges will allow you to tailor your answers and demonstrate how you can contribute to their data processes and pipeline enhancements.