Senior Data Engineer at Experian

Sofia, Sofia-City, Bulgaria -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AWS, SQL, Python, PySpark, ETL, ELT, Data Architecture, Data Quality, Data Governance, Agile, Cloud Technologies, Data Pipelines, Data Analysis, Data Security, Data Solutions

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description 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 Lead 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 Provide technical guidance and mentorship, ensuring adherence to established engineering standards and quality procedures. 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. Qualifications What you will bring: 4+ 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 solid 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. Additional Information 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. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Hybrid Department: Analytics Schedule: Full Time

Responsibilities

Develop advanced data engineering solutions and design scalable, cloud-native data platforms. Collaborate with stakeholders to translate requirements into reliable data solutions.