Senior Data Engineer
- Sofia
- Analytics
- Permanent
- Hybrid
- Full Time
This vacancy has now expired. Please see similar roles below...
What you will do:
- Design and manage daily ETL/ELT pipelines using SQL Server, Amazon Redshift, Amazon Athena and orchestration tools.
- Troubleshoot ETL failures caused by data anomalies, job errors, or source changes by analyzing logs, scripts, and staging tables.
- Perform data quality checks by comparing volumes across systems and validating business logic.
- Support data governance and documentation.
- Improve DWH infrastructure.
- Use DevOps and version control best practices
- Collaborate with cross-functional teams (engineering, analytics, business) to resolve escalated issues and ensure agreement on data solutions.
- Help evolve the technical architecture to support real-time analytics, automation, and scalability.
You will report into the Data Modeller Manager.
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.
What you will bring:
- Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
- 4+ years of experience in data engineering or similar roles with demonstrated impact on results.
- Fluent English
- Expertise in building scalable data pipelines and ETL processes using SQL and cloud-based tools (e.g., AWS Redshift, Glue)
- Experience with data warehousing and performance optimization.
- Prior experience supporting BI/analytics tools such as Tableau, Power BI
- Experience working in agile environments and cross-functional teams.
What you will get:
- Work environment - excellent work conditions with friendly environment, recognized strong 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 & 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
Explore Experian's award winning 'people first' culture.
Being part of Experian is exciting. Every day brings new challenges, new opportunities, new ways for us to do what we do best: using our innovative technologies and data to work in new and surprising ways. All brought together in a single thought: Discover the Unexpected.
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