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Senior Staff Engineer

Roles & Responsibilities

  • Over 10 years of experience in object-oriented and asynchronous programming.
  • High-level knowledge of data engineering, analytics, and machine learning.
  • Experience supporting internal data engineering, analytics, and MLOps platforms.
  • Proficiency with distributed data processing frameworks like Spark and cloud platforms such as AWS.

Requirements:

  • Lead complex software development projects and provide technical guidance.
  • Design and architect solutions for technical problems and system improvements.
  • Define and execute technical strategies for product development, including technology selection.
  • Collaborate with distributed teams to enhance analytics products and reduce costs.

Job 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 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.

Job Description

Job description

The ESS Analytics team is accelerating Experian's impact by bringing together data, tech, and data science and build game-changing products and services for our customers. We are looking for Senior Staff Engineer to help develop new initiatives and products to serve the needs of Experian's clients, including those in the financial services.

Our team is solving key questions, like - How can we increase the rigor and scalability of our loan originations modeling approach? How can we tackle important issues in the lending space today like bias, fairness and explainable AI?

As a growing team, we embrace a start-up mentality while operating in a large organization. We value speed, agility, and impact – and our results and ways of working are transforming the culture of the larger organizations around us.

Role accountabilities and key activities

Takes on a leading role within the development teams and tackling complex assignments. Provides substantial technical expertise in end-to-end development cycle and solves complex problems. Provides coaching and guidance to junior team members. Executes on technical and business strategies and ensures functional goals are met. Supports products at a holistic level, understanding how all the various pieces fit together.

You will:

  • Support complex software development projects by playing a critical role in planning, systems design and mentoring junior developers.
  • Innovate and architect solutions for intricate technical problems or system improvements.
  • Defining and executing the technical strategy for product development, including technology selection and innovation initiatives.
  • Design and build full stack components of our analytics product platforms on AWS.
  • Dive deeply into the platform, infrastructure, and applications to solve problems effeciently
  • Collaborate with geographically distributed cross-functional teams to expand the value of Analytics offerings.
  • Enhance the product to reduce the overall cost footprint while maximizing scalability and stability.

Knowledge, Skills, and Experience

  • High-level knowledge of data engineering, analytics, and ML, with the ability to dive deep when necessary.
  • Experience building or supporting internal data engineering, analytics and MLOpsplatforms.
  • Experience with distributed data processing frameworks like Spark
  • Experience with any of the public cloud platforms like AWS, Azure, GCP, preferably AWS, including infrastructure as code (Terraform, Helm).
  • Experience with Docker, Kubernetes, CI/CD pipelines, and observability tools.
  • Strong hands-on experience with Scala, Java & Python
Qualifications

Qualifications

  • 10+ years of experience with object-oriented programming and asynchronous programming
  • High-level knowledge of data engineering, analytics, and ML, with the ability to dive deep when necessary.
  • Experience building or supporting internal data engineering, analytics and MLOps platforms.
  • Experience with distributed data processing frameworks like Spark
  • Experience with any of the public cloud platforms like AWS, Azure, GCP, preferably AWS, including infrastructure as code (Terraform, Helm).
  • Strong hands-on experience with Scala, Java & Python
Additional Information

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.

Experian Careers - Creating a better tomorrow together

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