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- Tasks: Support the migration to a new billing platform through data analysis and collaboration.
- Company: Leading energy provider in the UK with an inclusive work culture.
- Benefits: Competitive salary, flexible working options, and a supportive environment.
- Why this job: Join a dynamic team and make a difference in energy billing processes.
- Qualifications: Strong analytical skills, proficiency in Oracle and SQL, and knowledge of billing processes.
- Other info: Hybrid working model with opportunities for personal and professional growth.
The predicted salary is between 30000 - 42000 £ per year.
A leading energy provider in the UK is seeking a Data Engineer to support the successful migration to a new billing platform. The role involves conducting data analysis, ensuring data integrity, and collaborating with business teams to resolve data issues.
Candidates should possess:
- Strong analytical skills
- Proficiency in Oracle and SQL
- Familiarity with gas/electricity billing processes
The position offers a competitive salary and flexible working options, emphasizing an inclusive work environment.
Data Engineer - Billing Migration (Hybrid Dublin) in Reading employer: SSE PLC
Contact Detail:
SSE PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Billing Migration (Hybrid Dublin) in Reading
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the energy sector, especially those who have worked with billing systems. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini portfolio showcasing your data analysis projects, especially those involving Oracle and SQL. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data integrity and collaboration. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight our relevant experience in gas/electricity billing processes.
We think you need these skills to ace Data Engineer - Billing Migration (Hybrid Dublin) in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and any relevant projects you've worked on. We want to see how your skills in Oracle and SQL can shine through!
Showcase Your Analytical Skills: In your cover letter, give us examples of how you've tackled data integrity issues in the past. We love seeing real-life scenarios where you've made a difference!
Know the Industry: Familiarise yourself with gas and electricity billing processes. Mentioning specific knowledge in your application will show us you're genuinely interested in the role and the sector.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the position!
How to prepare for a job interview at SSE PLC
✨Know Your Data Inside Out
Make sure you brush up on your data analysis skills and be ready to discuss how you've ensured data integrity in past projects. Be prepared to share specific examples of how you've tackled data issues, especially in billing processes.
✨Get Comfortable with Oracle and SQL
Since proficiency in Oracle and SQL is key for this role, practice writing queries and manipulating data before the interview. You might be asked to solve a problem on the spot, so having a few sample queries ready can really help you shine.
✨Understand the Billing Landscape
Familiarise yourself with gas and electricity billing processes. Knowing the ins and outs of these systems will not only impress your interviewers but also show that you're genuinely interested in the role and the company’s operations.
✨Show Your Collaborative Spirit
This role involves working closely with business teams, so be ready to discuss how you've successfully collaborated in the past. Share examples of how you resolved data issues through teamwork, as this will highlight your ability to fit into their inclusive work environment.