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 realize 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.

About the Role

We are seeking an experienced Engineering Manager to lead a team of talented engineers in building and maintaining scalable, secure, and high-performing data solutions. The ideal candidate will have strong leadership skills, deep technical expertise in AWS cloud services, and experience with batch processing and data-related services. Proficiency in at least one programming language such as Java or Python is essential.

Key Responsibilities

• Lead and mentor a team of software engineers, fostering a culture of collaboration, innovation, and continuous improvement.
• Drive the design, development, and deployment of data processing systems and batch workflows on AWS.
• Collaborate with product managers, architects, and other stakeholders to define technical strategies and deliver high-quality solutions.
• Ensure best practices in software development, including code quality, testing, and performance optimization.
• Manage project timelines, resource allocation, and deliverables to meet business objectives.
• Stay current with emerging technologies and recommend adoption where appropriate.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Proven experience as an Engineering Manager or similar leadership role.
• Strong knowledge of AWS services such as:
  • S3, EC2, Lambda, Batch, Step Functions, Glue, EMR, and related data services.
• Hands-on experience with batch processing frameworks and data pipelines.
• Proficiency in Java or Python (both preferred).
• Solid understanding of data architecture, ETL processes, and distributed systems.
• Excellent communication, leadership, and problem-solving skills.

Preferred Qualifications

• Familiarity with CI/CD pipelines, DevOps practices, and Infrastructure as Code (e.g., Terraform, CloudFormation).
• Familiarity with big data technologies (e.g., Spark, Hadoop).
• Knowledge of data security and compliance standards.

• Education: Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field (mandatory).
• Master’s degree in Computer Science, Engineering Management, or related discipline (preferred).

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. 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.

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