Data Engineer

Experian unlocks the power of data to create opportunities for consumers, businesses and society. At 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 their data with confidence so they can maximize every opportunity.

We gather, analyze 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 22 000 people in 32 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.

We are currently looking for Data Engineer who will be responsible for timely and quality delivery of analytic data services to Experian clients, represent Experian analytic and data expertise during business development discussions, and direct the development and maintenance of analytical products. The focus of the analytical products and services will be based on both bureau data and alternative data and the successful deployment of those products and services.

What you'll be doing:

Participate in the attribute design sessions. Collaborate in the planning, design, development, and testing of new attribute functionality, and enhancements.

Use of visualization with BI tools such as Tableau to create reports and dashboards.

Analyzes and confirms the integrity of source data to be evaluated. Performs mapping of data elements across countries.

Develop scripting tools and scripting strategies for deploying code in languages such as Python, Spark or Scale to handle large data repositories based on technical specifications.

Manages data and departmental document repository ensuring up-to-date versions and correct document storage.

Translate complex business requirements into technical solutions. Perform data analysis and data modeling to create source to target mappings.

Working hours will be flexible, but preferably 10:00 – 19:00, due to a fact that part of the team is in Argentina and USA.

What you are expected to bring:

Analytical skills and modeling build experience both traditional regression methods and machine learning.

Programming knowledge of Python, R and/or SAS, with Python being critical. Visualization and exploratory data analysis experience.

3 years minimum experience conducting extensive data manipulation analytics and modeling.

Knowledge of consumer credit data or related financial services data. Knows how to summarize data and perform exploratory data analysis to extract the behaviors that will then be turned into attributes.

Experience with BI Tools such as Tableau and Power BI will be considered as an advantage.

Communicates and works with platform engineering teams to execute deployment processes ensuring accuracy and completeness of the project requirements.

Why Us?

No one makes sense of data like Experian. We are on a mission to deliver the full power of data, analytics and technology in ways that transform lives. As a team, we’re committed to working together. So, we work in an inclusive environment that welcomes people with lots of different perspectives. We put people first and care about work that works.

We like to strike a balance between how much time we spend on work and how much we keep for ourselves. After all, we’ve all got commitments and interests outside the office. So, talk to us about how you’d best like to work with us. We’re flexible and interested in helping you to get the best out of working with us.

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, a 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.