Associate Data Engineer

Company Description

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.

Description

What you will do:

• Assist in monitoring and running daily ETL/ELT pipelines using SQL and cloud tools (e.g., AWS, SQL Server, Athena)
• Help troubleshoot data pipeline issues (e.g., job errors, missing data, or log checks).
• Support scheduled and ad-hoc data processing jobs, ensuring data is processed correctly and on time.
• Handle regular data imports, validations, and quality checks for datasets.
• Assist in maintaining data documentation and supporting governance processes.
• Learn to work with data warehouse infrastructure and contribute to improvements.
• Support maintaining SQL and Scala scripts, queries, and simple ETL tasks.
• Work closely with the reporting/analytics team to ensure underlying data is accurate and up to date.
• Resolving validation queries and performing data investigations
• Learn and contribute to alignment on data solutions across teams.
• Contribute ideas and support proof-of-concept initiatives and new tools.
• Learn and help evolve the data architecture for analytics, automation, and scalability.

• Bachelor's degree in computer science, Mathematics, Statistics or a related quantitative field.
• Practical knowledge of SQL, Scala and PySpark and willingness to learn cloud-based data tools (e.g., AWS, Glue).
• Knowledge of GitHub and Bitbucket
• Familiarity with data analysis or data pipelines from coursework, internships, or projects.
• Strong problem-solving mindset and eagerness to learn new technologies.
• Exposure to BI/analytics tools such as Tableau or Power BI.
• Experience working on group projects, agile environments, or internships.
• Good written and verbal communication skills in English.

• Work environment - excellent work conditions with friendly environment, recognized 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 and books.