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Job Description

If you are a cloud data engineer, Accenture invites you to collaborate in an agile team of peers developing cloud-based analytics platform integrating data from broad number of systems to enable next-gen client analytical requirements. Looking for a team member with a deep technical knowledge to cooperate with the broader data team (developers, testers, business analysts).

About the role

  • You will work on a large-scale data transformation program of a large European retailer with the goal to establish a scalable, efficient, and future-proof data & analytics platform
  • You will directly work on the platform based on Google Big Query to integrate new data sources and model the data up to the serving layer
  • The teams are mixed with subject matter and technical experts from the customer and Accenture colleagues
  • This is a unique opportunity as the program is set-up to completely rethink reporting and analytics with Cloud technology

What we offer

Accenture is a leading Google Cloud Premier Partner globally. You can be part of a highly motivated team with a lot of know-how and team spirit in which you can fully develop your creative ideas.

  • Work with the latest, leading-edge technologies
  • Flexible working time, home working is allowed
  • Opportunity to work also from our modern office in Budapest
  • Constant career development with personalized internal mentorship
  • Access to a whole set of learning materials, platforms and internal trainings
  • Wide range of benefits included cafeteria, private health insurance package, life insurance, AYCM sport card, paid trainings and certifications, attractive internal referral bonus, family-oriented benefits

#LI-EU

Qualifications

Who we are searching for

  • Experience in GCP or AWS or Azure
  • General data engineering knowledge and familiarity with core cloud concepts
  • Coding languages: SQL (Jinja Templating), Python and/or Java
  • Business fluent English (German is a strong plus)

Your expertise in one or more of the following areas is highly valued:

  • Google Cloud Platform, ideally with Google Big Query, Cloud Composer and Cloud Data Fusion
  • Experience with legacy data warehouses, especially SAP BW and Teradata
  • Experience with our main tools dbt, terraform/terragrunt, Git (CI/CD)
  • Experience with a testing framework (e.g. dbt expectations, great expectations)
  • Experience with Business Intelligence tools like Power BI and/or Looker
  • Experience with Data mesh/EDM and data vault methodologies

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