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Data Engineer
2 months ago
Faites un pas en avant et laissez-vous surprendre par Edenred.
Chaque jour, nous fournissons des solutions innovantes pour améliorer la vie de millions de personnes, en connectant les employés, les entreprises et les commerçants dans le monde entier.
Nous savons qu'il y a des centaines de façons pour vous d'évoluer. Avec nous, vous développerez vos compétences dans un environnement multiculturel, stimulant et dynamique.
Osez rejoindre Edenred et préparez-vous à vous épanouir dans une entreprise internationale qui vous offrira des opportunités infinies.
La méritocratie fait partie de notre ADN.
Chez Edenred, nous reconnaissons, recrutons et développons tous les talents.
Venez comme vous êtes, dans le respect de votre singularité et contribuer à l'aventure Edenred avec nous.
Nous nous engageons à prévenir toute forme de discrimination et à proposer à tous nos candidats des opportunités égales indépendamment de leur genre et expression de genre, handicap, origine, croyance religieuse et orientation sexuelle ou tout autre critère.
Data Engineer
Hybrid - Swindon or London
Competitive Salary + Annual Bonus
As a Data Engineer, your primary responsibility is to design, develop, and maintain data pipelines and infrastructure on our platform. You will work with various data sources, load and transform data into appropriate formats, and ensure data quality and reliability. Additionally, you will collaborate cross-functionally to understand data requirements and implement scalable solutions for data processing, storage, and analysis. Proficiency in AWS services such as S3, Lambda, Glue, Athena, Quicksight, and knowledge of a languages like Python and SQL is essential for this role.
What you will be doing:
Design, develop and maintain data pipelines and infrastructure on AWS
Unit Testing
Collaborate with business analysts to refine user requirements
Provide work estimates to aid in overall planning
Proactively suggest ideas to improve the data platform and ways of working
Troubleshoot production issues when escalated
Documentation
What we want from you:
Degree in Computer Science or related engineering discipline or equivalent work experience
Proven track record of data pipeline development on AWS
Proven track record of working with IaC
Proven track record of working with git
Strong working knowledge of Python and SQL
Strong working knowledge of data management inside a datalake
Proven ability to explain technical issues and solutions to peers and customers
Proven ability to independently progress and complete tasks
Strong desire to learn new skills and adapt new technologies
Beneficial Experience:
Experience using Terraform
Experience working in an Agile framework
Experience in the financial services sector
Why Edenred PayTech?
We are a subsidiary of the Edenred group and a Mastercard Principal Member, and an FCA Electronic Money Institution, offering a range of cutting-edge services including Payment Processing, UK and SEPA banking solutions, BIN sponsorship, and eWallet provisions. We work with various clients across Challenger Banking (Monese, Tide, Anytime, and more), Corporate Benefits (Fuel cards, restaurant tickets), and Retail and Travel services (Sainsbury’s, TUI, Argos).
As an Edenred Paytech employee, you will get the support and structure that you need to enjoy your work and develop your career while doing what you love and making a difference in a fast-paced and innovative business.
Employee Benefits
25 days annual leave excl. bank holidays
Hybrid working environment with a 3 days per week in the office
Bonus scheme
Medical & international travel cover (leisure and action sports)
Competitive Pension Scheme
Income protection
Life insurance
Season ticket loan
Cycle to Work scheme
Monthly gym allowance
Holiday trading scheme
Employee Assistance Program (incl. family members)
Employee discount shopping platform
Digital learning platform
Complimentary fruit, snacks & refreshments
Volunteering programme
Social events
Employee referral bonus scheme
Diversity
Edenred UK and PPS are proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, colour, creed, religion, sex, sexual orientation,
gender, gender identity or expression, national origin, citizenship, marital status or civil partnership/union status, disability, pregnancy, genetic information or any other basis prohibited by applicable country or local laws.
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