Senior Data Analytics Engineer

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices and uncover fraud. We also prevent fraud, simplify healthcare, and provide digital marketing solutions. Additionally, we gain deeper insights into the automotive market. We achieve all of this 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.

What 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.

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.

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