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- Tasks: Design and maintain scalable data pipelines to transform raw data into valuable insights.
- Company: Leading utilities company in Edinburgh, driving innovation through data.
- Benefits: Competitive salary, comprehensive benefits, and a flexible hybrid working model.
- Why this job: Join us to work on impactful projects and make a difference in the utilities sector.
- Qualifications: Experience as a Data Engineer with skills in SQL, Python, and cloud platforms.
- Other info: Great career growth opportunities in a dynamic and supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
Job Title: Data Engineer Location: Edinburgh, UK About Us: Join one of the leading utilities companies in Edinburgh, driving innovation through data! We are looking for a skilled Data Engineer to support our data infrastructure and empower our teams with reliable and efficient data solutions. If you’re passionate about building robust data pipelines and transforming raw data into valuable insights, we want you on our team! Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data analysts and stakeholders to understand data requirements. Ensure data integrity, security, and compliance with industry standards. Optimize data architectures for performance and scalability. Monitor and maintain data systems to ensure high availability. Key Requirements: Proven experience as a Data Engineer or similar role. Proficiency in SQL, Python, or other data processing languages. Experience with cloud platforms (e.g., Azure, AWS, or Google Cloud). Knowledge of data warehousing concepts and big data technologies. Strong problem-solving skills and attention to detail. Why Join Us? Competitive salary and comprehensive benefits package. Opportunity to work on impactful projects within the utilities sector. Hybrid working model with flexibility. Career growth and development opportunities. Seniority level: Mid-Senior level Employment type: Full-time Job function: Analyst and Information Technology Industries: Utilities, Data Infrastructure and Analytics, and IT Services and IT Consulting #J-18808-Ljbffr
Data Engineer employer: In Technology Group
Contact Detail:
In Technology Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, Python, or cloud platforms. This will help us see your practical experience and problem-solving abilities.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering challenges. We love candidates who can discuss their thought process and how they tackle real-world data issues.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer. Focus on the skills mentioned in the job description, like SQL and Python, and showcase any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your skills align with our mission at StudySmarter. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you’ve tackled complex data challenges. We love seeing how you approach problems and find innovative solutions!
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’s super easy!
How to prepare for a job interview at In Technology Group
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and any cloud platforms like Azure or AWS. Be ready to discuss specific projects where you've used these tools, as it shows your hands-on experience and problem-solving skills.
✨Understand the Company’s Data Needs
Research the company’s data infrastructure and think about how you can contribute. Familiarise yourself with their industry standards and compliance requirements, so you can demonstrate your understanding of their specific challenges during the interview.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of data pipelines, ETL processes, and data warehousing concepts. Practise explaining complex ideas simply, as this will show your ability to communicate effectively with both technical and non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to share examples of how you've tackled data-related challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your attention to detail and innovative solutions.
