Data Engineer at Experian

Sofia, Sofiya, Bulgaria -

Full Time

Start Date

Immediate

Expiry Date

26 May, 26

Salary

0.0

Posted On

25 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, SAS, Tableau, Power BI, Exploratory Data Analysis, Feature Generation, Attribute Generation, Data Mapping, Data Harmonization, Spark, Regression, Machine Learning

Industry

Information Services

Description

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 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. Job Description The Data Engineer delivers high quality analytical insights, data-driven decision support, and attribute development for Experian clients. You will represent Experian's advanced analytics capabilities during business development discussions and contribute in shaping analytical products built on bureau and alternative data. You will report into the Director of Data Science and Gen AI. What you'll do: Participate in attribute design sessions, contributing analytical perspectives that improve predictive quality and business relevance. Conduct exploratory data analysis (EDA) to evaluate data integrity, identify patterns, and extract behaviors that inform attribute creation. Build analytical dashboards and insights reports using BI tools such as Tableau or Power BI to support other teams and clients. Assess the quality and structure of source data; validate datasets for completeness and consistency. Perform cross country data mapping and harmonization to support global products. Develop scalable scripts in Python or Spark for data preparation, feature generation, and analytics workflows (engineering-heavy pipelines not required). Maintain clear documentation, analytical specifications, and repository artifacts to support transparency and reproducibility. Translate complex business questions into data-driven analytical solutions. Support development of predictive models (regression and machine learning) and provide insights that guide model enhancements and feature selection. Qualifications What you'll bring: 3+ years of experience in a similar role. Proficiency in Python for data analysis; familiarity with R or SAS. Experience with Tableau or Power BI. Expertise in exploratory data analysis, feature/attribute generation. Understanding of consumer credit data, financial services data, or similar structured datasets. Organizational, interpersonal, and presentation capabilities. Additional Information 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 and books. 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 Employee Status: Regular Role Type: Hybrid Department: Analytics Schedule: Full Time

Responsibilities

The Data Engineer will deliver high-quality analytical insights, data-driven decision support, and attribute development for clients, while also contributing analytical perspectives during attribute design sessions to improve predictive quality.