Data Engineer (with Google Cloud / Azure experience)

Data Engineer / Python / Google Cloud / Google BigQuery / Azure / International team
Our partner is a well-known brand in the aviation industry. The team in Budapest – which was founded 2 years ago - is rapidly growing, hence we are seeking our next colleagues to join as Data Engineer.
As a Data Engineer within our team, your focus will be to build high quality applications that are maintainable, performant, and secure.
You will work closely with both the business and other functions within Data team (Data Analyst, Data Scientist) to create data-driven solutions that contribute to the optimisation of our HR processes and broader business goals.

You are the ideal candidate if you have:
  • Fluency in English language, both spoken & written.
  • A minimum of 3 years of experience as a Data Engineer.
  • Cloud engineering experience, especially Google Cloud Platform (GCP) OR Azure
  • Knowledge about data architecture: you are aware of the concept of data warehouse, data lake
  • experience with both SQL and no-SQL databases such as Google BigQuery, PostgreSQL and MongoDB;
  • you know integration patterns such as SOA, request/reply (RESTful API's) and event driven architecture (JMS/Kafka);
  • you know cloud technologies and DevOps (Git, CI/CD, Kubernetes, Docker)
  • in-depth knowledge and experience in the agile way of working (SAFe, Scrum, Kanban);
  • possesses excellent communication skills, both verbal and written, and are capable of conveying data insights clearly to both business stakeholders and technical teams.
  • is eager to learn and able to quickly master new tools, techniques, and processes.
  • is flexible and proactive, with a hands-on mentality to deliver results quickly and make an impact.
What our client offers:
  • Flexible working conditions, regular home office
  • Working in cross-country teams, being a member of an active community
  • Competitive salary and various benefits
  • Separated budget and time for your learning and professional development

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.


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Összefoglaló

Állás típusa
Munkaerő-toborzás
Iparág
Commercial/Trading/FMCG
Hely
Budapest
Szakterület
Data & Advanced Analytics
Szám:
1189377

Kapcsolatfelvétel tanácsadóval

Beszéljen Bertold Oravecz, a pozícióval foglalkozó szaktanácsadónkkal, akinek címe Budapest
Akadémia utca 6., 1. emelet, Academia Offices

Telefon: +36704122209

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