At a Glance
- Tasks: Build scalable data pipelines and derive insights from complex datasets.
- Company: Join a leading Financial Services organisation in Edinburgh.
- Benefits: Enjoy a hybrid work model, competitive salary, and professional growth opportunities.
- Other info: Collaborative environment focused on teamwork and timely delivery.
- Why this job: Make an impact by supporting decision-making with your data expertise.
- Qualifications: Experience with SQL/SAS and strong analytical skills required.
The predicted salary is between 45000 - 55000 £ per year.
Change Digital – Digital & Tech Recruitment is seeking a skilled Data Engineer to join a leading Financial Services organization in Edinburgh. This hybrid role involves working on complex datasets and building scalable data solutions to support decision making.
The ideal candidate should have experience with SQL and/or SAS, strong analytical skills, and the ability to engage with stakeholders. The position emphasizes teamwork, data governance, and timely delivery of BI requests.
Hybrid Data Engineer: Build Scalable Pipelines & Insights employer: Change Digital – Digital & Tech Recruitment
Join a leading Financial Services organisation in Edinburgh, where innovation meets collaboration. We pride ourselves on fostering a dynamic work culture that values teamwork and encourages professional growth through continuous learning opportunities. With a focus on data governance and impactful decision-making, we offer a rewarding environment for Data Engineers to thrive and make a meaningful contribution.
Contact Details:
Change Digital – Digital & Tech Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Engineer: Build Scalable Pipelines & Insights
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL or SAS. This gives you a chance to demonstrate your analytical prowess and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building scalable data solutions, as this will highlight your teamwork and analytical skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Hybrid Data Engineer: Build Scalable Pipelines & Insights
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL and/or SAS, as well as your analytical skills. We want to see how your background aligns with the role of a Data Engineer in our team!
Showcase Teamwork:Since this role emphasises teamwork, include examples of how you've collaborated with others in past projects. We love seeing candidates who can engage with stakeholders effectively!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, especially when it comes to complex datasets and BI requests.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in Edinburgh.
How to prepare for a job interview at Change Digital – Digital & Tech Recruitment
✨Know Your Data Tools
Make sure you brush up on your SQL and SAS skills before the interview. Be ready to discuss specific projects where you've used these tools to build scalable data solutions. This will show that you not only understand the technical side but can also apply it in real-world scenarios.
✨Showcase Your Analytical Skills
Prepare examples of how you've tackled complex datasets in the past. Think about the challenges you faced, the analytical methods you employed, and the insights you derived. This will demonstrate your problem-solving abilities and how you can contribute to decision-making processes.
✨Engage with Stakeholders
Since this role involves engaging with stakeholders, be ready to discuss how you've communicated technical information to non-technical audiences. Share instances where your communication skills helped bridge gaps and foster collaboration within a team.
✨Emphasise Teamwork and Timely Delivery
Highlight your experience working in teams and delivering BI requests on time. Prepare to talk about how you prioritise tasks and manage deadlines while ensuring data governance. This will show that you understand the importance of teamwork in achieving project goals.
