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- Tasks: Design and optimise data solutions using Fabric and Synapse for scalable data pipelines.
- Company: Leading energy company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible benefits, and support for personal and professional wellbeing.
- Why this job: Advance your career in data management within a forward-thinking environment.
- Qualifications: Experience in data engineering and a passion for data quality and compliance.
- Other info: Join a dynamic team with opportunities for growth and development.
The predicted salary is between 36000 - 60000 £ per year.
A leading energy company is seeking a Data Engineer to design and optimize data solutions using Fabric and Synapse. The role involves collaborating with teams to deliver scalable data pipelines while ensuring data quality and compliance. It’s an excellent opportunity for someone eager to advance in data management within a forward-thinking environment. Competitive salary and flexible benefits are offered, supporting both personal and professional wellbeing.
Data Engineer: Hybrid, Lakehouse Pipelines & Analytics employer: SSE PLC
Contact Detail:
SSE PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Hybrid, Lakehouse Pipelines & Analytics
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with data pipelines and analytics. We want to see how you tackle real-world problems, so make it shine!
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common data engineering questions and scenarios. We can even do mock interviews together to boost your confidence!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who are eager to grow in a forward-thinking environment like ours.
We think you need these skills to ace Data Engineer: Hybrid, Lakehouse Pipelines & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data solutions, especially using Fabric and Synapse. We want to see how you've designed and optimised data pipelines in the past!
Showcase Collaboration Skills: Since this role involves working with various teams, let us know about your collaborative projects. Share examples where you’ve worked together to deliver scalable solutions while ensuring data quality.
Highlight Compliance Knowledge: Data quality and compliance are key in this role. Be sure to mention any relevant experience or knowledge you have in these areas, as it shows you understand the importance of maintaining standards.
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 SSE PLC
✨Know Your Tech Stack
Make sure you’re familiar with Fabric and Synapse, as these are key tools for the role. Brush up on your knowledge of data pipelines and analytics, and be ready to discuss how you've used similar technologies in past projects.
✨Showcase Collaboration Skills
Since the role involves working with various teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve worked cross-functionally to deliver a project and how you ensured everyone was on the same page.
✨Emphasise Data Quality and Compliance
Be prepared to talk about your approach to maintaining data quality and compliance. Share specific strategies or frameworks you’ve implemented in previous roles to ensure data integrity and adherence to regulations.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s data strategy or how they measure success in their data initiatives. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
