At a Glance
- Tasks: Design and run ETL processes to transform and manage security data.
- Company: Join Experian, a leader in innovation and diversity.
- Benefits: Enjoy hybrid working, competitive pay, and generous leave policies.
- Other info: Be part of a diverse team that values your unique contributions.
- Why this job: Make a real impact on security analytics while developing your skills.
- Qualifications: Experience with Python, SQL, and cloud data management tools.
The predicted salary is between 50000 - 60000 £ per year.
Experian Global Security Office are looking for a Data Engineer who will be responsible for quality delivery of analytic data services. Your work will focus on the development, automation and building of transformation routines to support our Security Metrics function who deliver security analytics to our internal business. You will apply policies and business rules which ensure that both point-in-time data and trending data is available for reporting. The engineer will help secure storage, query, protection, and use of data and will meet agreed availability levels. You will implement error detection, data quality checks, performance management and operational error alerting. This is a Hybrid, Nottingham based role (40% in the office) reporting to the Lead Data Security Engineer.
Role Responsibilities
- Design and run extract, transform, load (ETL) processes to bring in data from security tooling and other corporate data sources into a standardized and normalized data structure using a variety of tools such as Python, Alteryx, AWS Glue, SQL or other data management responsibilities for use in Security Metrics.
- Develop data pipelines, data warehouses and reporting frameworks.
- Use query languages such as SQL (structured query language) to provide information for security metrics and reporting.
- Understand data infrastructure requirements and data formats (e.g. JSON, XML and CSV) and connectivity (e.g. SQL queries and stored procedures).
Experience and Skills
- Python for data transformation and task automation.
- AWS Glue, Athena, AWS RDS, MS SQL and Cloud Native Data Management with AI in Security functions.
- Understanding of common BI tools such as PowerBI, Tableau, Excel (can perform complex functions).
- Working knowledge of ITIL incident management, service-level management, change management, release management and availability management for databases and data management systems.
Benefits
- Hybrid working - 40% office based.
- Great compensation package and discretionary bonus plan.
- Core benefits include pension, Bupa healthcare, sharesave scheme and more!
- 25 days annual leave with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Cloud Data Engineer in Nottingham employer: Experian Group
Experian is an exceptional employer that fosters a culture of innovation and inclusivity, making it a great place for Cloud Data Engineers to thrive. With a hybrid working model based in Nottingham, employees enjoy a competitive compensation package, generous annual leave, and opportunities for professional growth within a diverse and supportive environment. The company's commitment to employee well-being and development ensures that every team member can contribute meaningfully while advancing their career.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Engineer in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current employees at Experian on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Cloud Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss Python, SQL, and AWS tools. Practise explaining your past projects and how they relate to the responsibilities of the role. We want to see your passion for data engineering!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to tackle hypothetical scenarios related to data quality checks or ETL processes. We love candidates who can think on their feet and demonstrate their analytical mindset!
✨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 at Experian. Let’s get you that Cloud Data Engineer position!
We think you need these skills to ace Cloud Data Engineer in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Cloud Data Engineer role. Highlight your experience with ETL processes, Python, and any relevant tools like AWS Glue or SQL. We want to see how your skills match what we're looking for!
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 you can contribute to our Security Metrics function. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Projects:If you've worked on projects that involved data transformation or analytics, make sure to mention them. We’re interested in real-world examples of how you've applied your skills, especially in security contexts.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Experian Group
✨Know Your Tech Stack
Make sure you’re familiar with the tools mentioned in the job description, like Python, AWS Glue, and SQL. Brush up on your ETL processes and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or implemented error detection in previous roles. This will demonstrate your ability to handle the responsibilities outlined in the role.
✨Understand Security Metrics
Since this role focuses on security analytics, it’s crucial to understand what security metrics are and how they impact business decisions. Be ready to discuss how you can contribute to the Security Metrics function.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects or challenges they face. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
