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.
Qualifications :
What you will bring:
- Bachelors 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.
Additional Information :
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 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.
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This is a hybrid remote/in-office role.
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Remote Work :
No
Employment Type :
Full-time