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, deliver digital 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 realise their financial goals and help them to save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.
We invest in talented people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Job DescriptionWhat you will do:
Reporting directly to the Audit Analytics Director, the Data Analytics Engineer enables GIA Data Analysts and Audit Teams to deliver efficient data-driven audit testing through curated datasets and self-serve applications.
- Identify, integrate, and operationalise new data sources into the GIA Data Analytics environment
- Run data input quality checks to ensure completeness and accuracy
- Develop scheduled data preparation routines to transform raw inputs into curated datasets with time-stamping for historical accuracy
- Document data integration processes and train others to eliminate single points of failure
- Maintain an organised data analytics library including field definitions, data limitations, and provenance details
- Maintain the GIA Data Analytics AWS platform. Manage vulnerabilities, patching, data and code backups.
- Mentor Data Analysts and Internal Audit teams on the use of available data
What you will bring:
- At least 5 years of experience in a similar role
- Degree with high technical content
- Fluent English
- Experience connecting to diverse data sources through APIs, SQL databases, and other methods, and developing data pipelines
- Expert in data processing, automation, and analytics using Python (Pandas, NumPy, SQLAlchemy, and ETL workflows)
- Experience with AWS or Azure equivalents (Terraform, S3, EC2, Lambda, Glue, Athena, IAM, CloudShell)
- Knowledge of internal audit workflows, risk assessment, and control testing models
- Experience building pipelines preserving evidence chains and audit logs
- Experience with AI would be advantageous.
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 & 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.
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
Skills Required
- At least 5 years of experience in a similar role
- Degree with high technical content
- Fluent English
- Experience connecting to diverse data sources through APIs, SQL databases, and other methods
- Expert in data processing, automation, and analytics using Python, including Pandas, NumPy, and SQLAlchemy
- Experience with AWS or Azure equivalents
- Knowledge of internal audit workflows, risk assessment, and control testing models
- Experience building pipelines preserving evidence chains and audit logs
- Experience with AI would be advantageous
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.
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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.
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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.
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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
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.
