Senior Data Engineer (Analytics & Cloud)

Responsibilities

• 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

Requirements

• 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.
• 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.
• 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

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