Senior Data Engineer (Analytics & Cloud)

  • Full-time
  • Employee Status: Regular
  • Role Type: Hybrid
  • Department: Analytics
  • Schedule: Full Time

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

What you will do:

  • Work on modern data platforms, analytics solutions, process automation and emerging AI-enabled capabilities across multiple business domains
  • Work independently to develop advanced analytical and data engineering solutions supporting data analysis and ad-hoc insights.
  • Design, build and maintain scalable, cloud-native data platforms and pipelines for structured and unstructured data.
  • Build and maintain scalable ETL/ELT pipelines using modern cloud-native services.
  • Collaborate closely with analytics, product, engineering and business stakeholders to translate requirements into reliable, high-value data solutions.
  • Provide technical guidance and mentorship, ensuring adherence to established engineering standards and quality procedures.
  • Develop and optimise data solutions leveraging modern cloud technologies (e.g., S3, Redshift, Glue or equivalent services).
  • Take ownership of data solutions throughout their lifecycle, from requirements gathering and development to deployment and continuous improvement.
  • Explore and implement modern data, automation and AI technologies to improve operational efficiency, data quality and decision-making

Qualifications

What you will bring:

  • Bachelor’s degree in computer science, Mathematics, Statistics or a related quantitative field.
  • 4+ years of experience in the field of data analytics;
  • Proven experience designing and delivering data engineering solutions in AWS environments.
  • Strong SQL expertise and programming skills (Python / PySpark preferred).
  • Hands-on experience with ETL/ELT, distributed processing and modern data architecture patterns.
  • Strong understanding of integration patterns and secure data handling practices.
  • Experience working in Agile, cross-functional teams.
  • Strong analytical thinking, ownership mindset and ability to collaborate effectively with technical and non-technical stakeholders.

Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

What you will get:

  • Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and book.
  • Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
  • Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
  • Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
  • Opportunity for Flexible working hours and Home Office.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply

Privacy Notice