(Senior-) Consultant – Data Engineering & Architecture – Technology Consulting Urgent Hiring

Full-time n/a Zurich Bachelor

In a world that’s changing faster than ever, our purpose acts as our ‘North Star’ guiding our more than 300,000 people - providing the context and meaning for the work we do every day. In doing so, we play a critical role in building a better working world for our people, clients and communities. Thanks to our innovative services in auditing, tax consulting as well as transaction and management consulting, we proudly drive our clients into the future.

Our Consulting business offers a broad range of functional and cross-country services dedicated to providing high-value and trusted advice to clients, with a specific focus on business transformation programs. We provide seamless, consistent and high-quality services to our clients around the world. Our teams work collaboratively with our clients to deliver all aspects from design to delivery of data and information solutions.

What you can expect - enriching experiences that will last a lifetime

  • You will work on Data Engineering and Architecture topics on a project basis, for and in collaboration with customers throughout Switzerland and internationally.
  • You will work for interesting national and international organizations in various domains such as Supply Chain, Finance, Risk, etc. and across various sectors like Life Sciences, Consumer Products & Retail, etc.
  • You will learn through knowledge sharing, trainings and on the job experiences.
  • You will contribute to develop new propositions and innovative solutions that are responsive to market needs.
  • You will support in growing the Data Analytics & Automation team.

What you can contribute - skills for shaping the future

  • You hold a Master’s degree and you have up to 5 years of working experience with Data Engineering and Architecture: Data Fabric, Data Architecture Design and Modeling, Semantic Layer, Cloud computing, NextGen Data Platforms, Data Integration, Database Management, Data Quality, DataOps.
  • You have experience with processing data with SQL, Python, Scala, Java, R and developing data pipelines in tools / platforms such as Databricks, Azure Data Factory, (Py) Spark, Azure Synapse.
  • You are familiar with Elastic, Kubernetes, Docker, micro services and / or containerized data solutions
  • You have interest or experience in the broader data, analytics and automation field: Data Analysis, Data Visualization, Process Mining, RPA, Intelligent Automation, etc.
  • You have a flexible and pro-active attitude, strong communication skills and are able to collaborate well in teams
  • Business fluent in English and German

Stick to your plans and realize your goals with us! Design your career with EY in a culture that promotes diversity and education.

  • International multi-cultural team of highly motivated professionals
  • Constant personal development with a steep learning curve - a system of trainings, mentoring, counselling and on-the-job learning
  • Modern working environment and equipment, fostering mobile working flexibility
  • Transparent performance-based recognition and progression system
  • Acquire a fully accredited corporate MBA (EY Tech MBA) from Hult International Business School, whilst working with EY, completely free*

Your ambition is as bold as ours. As part of our high-performing teams, you’ll build the tech skillsets and growth mindsets to become the leader you want to be. The leader the world needs. Harness our scale, our tech, our teams and our culture to realize your potential. Learn from the best, surround yourself with the curious, ask better questions to seek better answers. The exceptional EY experience. It’s yours to build.

Make the next step and apply for this position online. Ref. No: ZUR001KT. For further information please contact our recruitment team (recruitment.switzerland@ey.com / +41 58 286 33 66).

* exception of EY contractors, interns and alumni.

Contact us! Our recruiting team is looking forward to getting to know you! Contact us!
Published on 2021-04-12. Original Job Ad