Senior Data Engineer

Posted 13 Days Ago
Be an Early Applicant
Hiring Remotely in Sofia, Sofia-grad, BGR
Remote or Hybrid
Senior level
Big Data • Marketing Tech • Analytics
The Role
Design, build, and maintain scalable, cloud-native data platforms and ETL/ELT pipelines in AWS. Collaborate with analytics and product teams to deliver analytical solutions, mentor engineers, ensure engineering standards, and implement automation and AI-enabled improvements across the data lifecycle.
Summary Generated by Built In
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 new AI-enabled capabilities across multiple business domains
  • Develop advanced analytical and data engineering solutions supporting data analysis and ad-hoc insights.
  • Develop scalable, cloud-native data platforms and pipelines for structured and unstructured data.
  • Develop scalable ETL/ELT pipelines using modern cloud-native services.
  • Collaborate with analytics, product, engineering and partners to translate requirements into reliable, high-value data solutions.
  • Provide technical guidance and mentorship, ensuring adherence to established engineering standards and quality procedures.
  • Develop data solutions using 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 and data quality

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;
  • Experience designing 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.
  • Analytical thinking and ability to collaborate with all kinds of partners.

Additional Information

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.

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.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

Experian Careers - Creating a better tomorrow together

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

#LI-Hybrid

Experian Careers - Creating a better tomorrow together

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

Skills Required

  • Bachelor's degree in Computer Science, Mathematics, Statistics or related quantitative field
  • 4+ years of experience in data analytics
  • Experience designing data engineering solutions in AWS environments
  • SQL expertise
  • Programming skills
  • Python / PySpark
  • Hands-on experience with ETL/ELT pipelines, distributed processing and modern data architecture patterns
  • Experience with integration patterns and secure data handling practices
  • Experience working in Agile teams
  • Analytical thinking and ability to collaborate with partners
  • Experience with modern cloud data services (e.g., S3, Redshift, Glue or equivalents)

Experian Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.

  • Healthcare Strength Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
  • Leave & Time Off Breadth Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
  • Retirement Support Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.

Experian Insights

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The Company
HQ: Dublin
16,292 Employees
Year Founded: 1980

What We Do

Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.

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