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You will work within a pod alongside other Data Engineers, reporting to your Lead Data Engineer. You will collaborate asynchronously with UK colleagues, taking ownership of data products within your domain. You are expected tobea positive influence on technical standards and to support less experienced engineers in their development.
You will regularly engage with teams across the business to understand how they use data and what they need to succeed. You will contribute to onboarding resources and documentation that help analysts and data scientists navigate our ecosystem. You treat the success of your stakeholder teams as a measure of your own success.
A Senior Data Engineer acts as a role model for best practice and high-quality technical output. They support their team by providing constructive feedback and challenging when technical output does not meet standards. They drive measurable technical improvement and innovation within their team.
AsSeniorData Engineer, you will be a technical leader within your pod, delivering complex data solutions while supporting the development of engineers around you. You will play a key role in migrating legacy systems to our modern stack andestablishingbestpracticesthat scale.
Werequirea Senior Data Engineer who is highly skilled in:
Snowflake (warehouses, clustering, performance tuning, data sharing)
dbt(modular transformations, testing, documentation, Slim CI)
Python for data engineering (pandas, orchestration, automation)
SQL at an advanced level (complex transformations, queryoptimisation)
AWS data services (S3, Glue, Kinesis, DMS, Lambda)
Data pipeline design (batch and streaming patterns)
Data quality implementation (dbttests, validation frameworks)
Version control and CI/CD (Git, GitHub Actions, CodePipeline)
Mentoring and supporting other engineers through code review and pairing
Working directly with stakeholder teams to understand their data requirements
Contributing to documentation, onboarding guides, and learning resources
Explaining technical concepts clearly to analysts and non-technical colleagues
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
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 ID: 143971223
