At a Glance
- Tasks: Design and develop data pipelines to deliver security analytics and ensure data quality.
- Company: Join Experian, a leader in data solutions with a commitment to diversity and inclusion.
- Benefits: Enjoy hybrid working, competitive salary, generous leave, and a great bonus plan.
- Other info: Great career growth opportunities in a dynamic and inclusive environment.
- Why this job: Make an impact in security analytics while working with cutting-edge technologies.
- Qualifications: Experience in Python, AWS, SQL, and familiarity with BI tools like PowerBI.
The predicted salary is between 50000 - 60000 £ per year.
Experian Global Security Office is looking for a Data Engineer responsible for quality delivery of analytic data services. The role focuses on developing, automating and building transformation routines to support the Security Metrics function, delivering security analytics to internal business. The engineer will apply policies and business rules ensuring point‑in‑time and trending data is available for reporting.
Responsibilities include securing storage, query, protection and use of data, meeting availability levels, implementing error detection, data quality checks, performance management and operational error alerting.
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 tools such as Python, Alteryx, AWS Glue, SQL for Security Metrics.
- Develop data pipelines, data warehouses and reporting frameworks.
- Use query languages such as SQL to provide information for security metrics and reporting.
- Manage data infrastructure requirements and data formats (e.g. JSON, XML, CSV) and connectivity (e.g. SQL queries and stored procedures).
Qualifications:
- Python for data transformation and task automation.
- AWS Glue, Athena, AWS RDS, MS SQL and Cloud Native Data Management.
- Experience 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 (additional leave can be purchased).
Experian is proud to be an Equal Opportunity and affirmative action employer. Diversity and inclusion are integral to Experian's DNA and practices, and everyone can succeed at Experian and bring their whole self to work, irrespective of 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.
Salary: GBP 50,000 - 60,000 per year | Experience required: 3 years
Cloud Data Engineer employer: Grand Arcade
Experian is an exceptional employer that champions a culture of diversity and inclusion, ensuring every employee can thrive while bringing their authentic selves to work. With a strong focus on employee growth, the company offers robust benefits including a competitive compensation package, hybrid working options, and generous leave policies, making it an ideal place for Cloud Data Engineers to develop their skills in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AWS Glue, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing ETL processes or managing data infrastructure – it’ll help you shine during the interview!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Cloud Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Cloud Data Engineer role. Highlight your experience with Python, AWS Glue, and SQL, as these are key skills we're looking for. Show us how your past work aligns with the responsibilities mentioned in the job description.
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. Be specific about your achievements and how they relate to the role.
Showcase Relevant Projects:If you've worked on any projects that involved ETL processes or data pipelines, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you receive updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Grand Arcade
✨Know Your Tech Stack
Make sure you’re well-versed in 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 improved data pipelines in previous roles. Be specific about the challenges you faced and the solutions you implemented, as this will demonstrate your analytical thinking.
✨Understand Security Metrics
Familiarise yourself with security analytics and metrics. Be prepared to discuss how you would approach delivering security analytics and what key performance indicators (KPIs) you think are important for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the company’s approach to data security, and how they measure success in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.
