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Data Engineer - Machine Learning (All Genders)

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Experience in Software Engineering, Java or Python, Hands-on experience with Hadoop, Spark, etc., Proficient in designing data platforms.

Key responsabilities:

  • Develop innovative analytical solutions
  • Create new data services in collaboration with stakeholders
  • Build next generation data platforms and tools
HRS Group logo
HRS Group
1001 - 5000 Employees
See more HRS Group offers

Job description

Hrs As a Company

HRS, a pioneer in business travel, aims to elevate every stay through innovative technology. With over 50 years of experience, their digital platform, driven by ProcureTech, TravelTech, and FinTech, transforms how companies and travelers Stay, Work, and Pay.

ProcureTech digitally revolutionizes lodging procurement, connecting corporations and suppliers in a cutting-edge ecosystem. This enables seamless efficiency and automation, surpassing travelers' expectations.

TravelTech redefines the online lodging experience, offering personalized content from selection to check-in, ensuring an unparalleled journey for corporate travelers.

In FinTech, HRS introduces advancements like mobile banking and digital payments, turning corporate back offices into touchless lodging enablers, eliminating legacy cost barriers. The innovative 2-click book-to-pay feature streamlines interactions for travelers and hoteliers.

Combining these technology propositions, HRS unlocks exponential catalyst effects. Their data-driven focus delivers value-added services and high-return network effects, creating substantial customer value.

HRS's exponential growth since 1972 serves over 35% of the global Fortune 500 and leading hotel chains.

Join HRS to shape the future of business travel, empowered by a culture of growth and setting new industry standards worldwide.

BUSINESS UNIT

Enterprise Solutions is a business unit in HRS which integrates multiple solutions through the interchange of information from various business processes and related databases. Working in Enterprise Solutions means working on our core systems which enable our business processes on a daily basis.

POSITION

We are currently looking for a Data Engineer (m/f/d) to join our team of dedicated professionals.

CHALLENGE

  • Develop an innovative data landscape for driving the business with Analytical solutions up to real-time with state-of-the- art technologies
  • Create new data services in collaboration with product owners, peers, and other stakeholders
  • Get your hands dirty in our AWS cloud-based environment and get things done with technologies like Spark, Hadoop, Kinesis or elasticsearch
  • Build next generation data platforms, data services, data products, and tooling

FOR THIS EXCITING MISSION YOU ARE EQUIPPED WITH...

  • Understanding what it takes to design, build and maintain successful data platforms, services and products
  • Hands-on experience in Software Engineering (e.g. programming languages such as Java or Python; big data technologies such as Hadoop, Spark etc.)
  • Excellent communication skills to collaborate with business stakeholders, technical engineers and management
  • Fluency in English is a must

PERSPECTIVE

Access to a global network of a globally united and mutually responsible “Tribe of Intrapreneurs” that is passionately dedicated to renew the travel industry and while doing so reinvent the ways how businesses stay, work and pay.

Our entrepreneurial driven environment of full ownership and execution focus offers you the playground to contribute to a greater mission, while growing personally and professionally throughout this unique journey. You will continuously learn from a radical culture of retrospectives and continuous improvement and actively contribute to making business life better, smarter and more sustainable.

LOCATION, MOBILITY, INCENTIVE

The attractive remuneration is in line with the market and, in addition to a fixed monthly salary, all necessary work equipment and mobility, will also include an annual or multi-year bonus.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Analytical Thinking

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