Senior Data Engineer

Nottingham, United Kingdom

Applications have closed

Experian

Experian is committed to helping you protect, understand, and improve your credit. Start with your free Experian credit report and FICO® score.

View company page

Job Description

Work that matters – what you’ll be doing

Experian Consumer Services (ECS) is the team behind your Experian Free Credit Score and the advanced CreditExpert product. Masses of data is generated as our customers interact with Experian's leading consumer products and in the data team we work with it to gain insight into customer behaviour, create new products to help improve the financial lives of our customers and predict the future.

In ECS's Data Team you will build, deploy and manage AWS infrastructure using Python and the AWS Cloud Development Kit. You'll use a variety of services such as SNS, SQS and Lambda for event streams, Amazon Redshift, S3 and AWS Glue for data storage & reporting and Amazon SageMaker for our pioneering machine learning products. We are a growing team, and we need more people to help us build the great data products we have planned.

What you’ll need to bring to the role & Experian

We use the following technologies to build our products and knowledge and experience with these will be a plus, however what we most value is that you have a passion for using data to provide valuable insights into customer behaviour, a mindset to constantly improve our products and the communication skills to work with our colleagues across ECS to help them use our services.

  • Python and AWS Services such as S3, Kinesis, Lambda, Redshift, DynamoDB, Glue and SageMaker
  • Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation)
  • Data processing frameworks such as pandas, Spark and PySpark
  • Machine learning concepts like model training, model registry, model deployment and monitoring
  • Development and CI/CD tools (we use GitHub, CodePipeline and CodeBuild)
  • Logging and Monitoring tools such as Splunk and DataDog

If this sounds like you and you’re interested in finding out more, we’d love to talk to you!

Additional Information

Discover the Unexpected

Experian is the world’s leading global information services company. We’re passionate about unlocking the power of data in order to transform lives and create opportunities for consumers, businesses and society. For more than 125 years, we’ve helped economies and communities flourish – and we’re not done.

Our 21k amazing employees in 40+ countries believe the possibilities for you, and the world, are growing. We’re investing in the future, through new technologies, talented people and innovation so we can help create a better tomorrow. To do this we employ the brightest minds that share our purpose and want to make a difference.

Our uniqueness is that we truly celebrate yours.

Experian's culture and people are key differentiators. We take our people agenda very seriously. We focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. We’re an award winning organisation due to our strong people first approach.

Innovation is a critical 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, 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.

Could this be the role for you? Apply now to start your journey with Experian!

Internal Grade EB8

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS AWS Glue CI/CD CloudFormation DynamoDB ECS GitHub Kinesis Lambda Machine Learning Model deployment Model training Pandas PySpark Python Redshift SageMaker Spark Splunk

Perks/benefits: Career development

Region: Europe
Country: United Kingdom
Job stats:  6  1  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.