Experian

Data Engineer

Remote UK
Python AWS SQL
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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 realise 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.

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

Job Description

We are looking for a Data Engineer who will be responsible for quality delivery of analytic data services as part of the Experian Global Security Office. Their work will focus on the development, automation and build of transformation routines to support our Security Metrics function who deliver security analytics to our internal business.

You will apply policies and business rules which ensure that both point-in-time data and trending data is available for reporting. The engineer will help secure storage, query, protection, and use of data and ensure agreed availability levels are met. You will implement error detection, data quality checks, performance management and operational error alerting.

This is a UK-based Remote role reporting to our Information Security Manager for Metrics Reporting

Role Responsibilities:-

  • Design and run extract, transform, load (ETL) processes to bring in data from security tooling and other corporate data sources into a standardized and normalized data structure using a variety of tools such as Python, Alteryx, AWS Glue, SQL or other data management responsibilities for use in Security Metrics
  • Develop data pipelines, data warehouses and reporting frameworks
  • Use query languages such as SQL (structured query language) to provide information for security metrics and reporting.
  • Experience with data infrastructure requirements and data formats (e.g. JSON, XML and CSV) and connectivity (e.g. SQL queries and stored procedures)

Qualifications

  • Experience using Python for data transformation and task automation.
  • Experience with AWS Glue, Athena, AWS RDS, MS SWL and Cloud Native Data Management.
  • Understanding of common BI tools such as PowerBI, Tableau, Excel (can perform complex functions)
  • Working knowledge of ITIL incident management, service-level management, change management, release management and availability management for databases and data management systems.

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, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) 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.

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

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Experian Careers - Creating a better tomorrow together

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

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