Data Engineer

What you will do:

• Develop advanced data engineering solutions supporting data analysis and ad-hoc insights
• Design scalable, cloud-native data platforms and pipelines for structured and unstructured data
• Develop scalable ETL/ELT pipelines using modern cloud-native services
• Support the design and optimization of complex, multi-platform data architectures to improve performance, scalability and growth
• Apply best practices across data quality, governance, lineage, security and observability.
• Collaborate with analytics, product, engineering and business stakeholders to translate requirements into reliable, high-value data solutions
• Develop and improve data solutions using modern cloud technologies (e.g., S3, Redshift, Glue or equivalent services)

You will report into the Data Modeller - Manager.

What you will bring:

• 2+ years in a similar role
• Fluent English
• Bachelor's degree in computer science, Mathematics, Statistics or a related quantitative field.
• Experience developing data engineering solutions in AWS environments.
• SQL expertise and programming skills (Python / PySpark preferred).
• Hands-on experience with ETL/ELT, distributed processing and modern data architecture patterns.
• Experience with integration patterns and secure data handling practices.
• Experience working in Agile teams.

What you will get:

• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefits package including life insurance, food vouchers, additional health insurance for you and a family member, monthly flex allowance including internet bill coverage, sick leave allowance, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many more!
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in social responsibility events.
• Opportunity for flexible working hours and home office.
• Personal Development - career pathways for professional growth supported by learning and development programmes and unlimited access to online educational training courses, learning materials and books.

Experian is an Equal opportunity employer. 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.

#LI-Hybrid

This is a hybrid remote/in-office role.

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