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 realise 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
Job DescriptionDuties: Develop highly scalable and reliable data systems for data centric products and services on an AWS cloud-based platform; Work closely with Data Science teams creating solutions incorporating Machine Learning algorithms and models using Python with Data Engineering libraries and tools; Deliver reliable and scalable data streaming application functionality; Diligently observe and maintain Standards for Regulatory Compliance and Information Security; Without fail deliver and maintain accurate, complete and current documentation; Contribute to and promote full Agile cycle engagements, including meetings, iterative development, estimations, code reviews and design sessions; Lead, mentor and collaborate with other team members; Collaborate and contribute with architecture, product and design decisions to deliver superior functionality and quality; Timely delivery of documented and tested software to the platform software engineering team; Own deliverables from ideation to production operationalization. May telecommute.
Qualifications
Requirements: Employer will accept a Bachelor's degree in Information and Computer Science, Business Analytics, Data Science or related field and 5 years of experience in the job offered or in a Software Development Staff Engineer Senior-related occupation. Position requires experience in the following:
- Experience building and testing applications following secure coding practices
- Experience collaborating as a hands-on team member developing and supporting a significant commercial software project in Python
- Experience in developing server-side Python applications using mainstream frameworks, libraries, and tools including Pandas, SciPy, PySpark, and Pydantic
- Experience working with current cloud technologies such as AWS (EC2, S3, RDS PostgreSQL, Lambda)
- Experience in SQL and NoSQL based data access and management on PostgeSQL and MongoDb or AWS DocumentDb
- Experience building and supporting commercial systems managing data and transactions including server-side development of Data Flow processes, incorporating Machine Learning models, performing Data Enrichment, and ETL processes
- Experience with Continuous Integration/Continuous Delivery (CI/CD) process and practices (CodeCommit, CodeDeploy, CodePipeline/Harness/Jenkins, CLI, BitBucket/Git, etc.)
Pay range for this role $184,558.00-$232,617.00 with actual pay based on work location, job-related skills, experience and education. Role incl. variable pay and comprehensive benefits. To apply please go to https://smrtr.io/zwBZz
Skills Required
- Bachelor's degree in Information and Computer Science, Business Analytics, Data Science or related field
- 5 years of experience in the job offered or a related Software Development Staff Engineer Senior occupation
- Experience building and testing applications following secure coding practices
- Hands-on experience developing and supporting significant commercial software projects in Python
- Developing server-side Python applications using frameworks and libraries including Pandas, SciPy, PySpark, and Pydantic
- Experience working with cloud technologies such as AWS (EC2, S3, RDS PostgreSQL, Lambda)
- Experience in SQL and NoSQL data access and management on PostgreSQL and MongoDB or AWS DocumentDB
- Experience building and supporting commercial systems managing data and transactions, including server-side Data Flow processes, ML model integration, Data Enrichment, and ETL processes
- Experience with CI/CD processes and tools (CodeCommit, CodeDeploy, CodePipeline/Harness/Jenkins, CLI, BitBucket/Git)
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.
