Canopy

Zuhlke Engineering (HK) - Senior Data Engineer

Mid Level
Hong Kong
Senior Data Engineer
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About Us

We are an engineering consultancy where companies across all different kinds of industries rely on us to help them turn ideas into reality. This means that we’re constantly pushing the boundaries of innovation and breaking new ground.

Who we're looking for

Zühlke brings ideas to market and helps companies achieve success across various industries. By combining both business and technology expertise, we enable our clients to achieve business innovation, from first idea to success in their markets.We develop financially successful products, services and business models for today’s digital world. We achieve this by drawing on the experience of 1000 in-house experts in Austria, Germany, Hong Kong, Serbia, Singapore, Switzerland and the UK and more than 10,000 successful projects.

What you will be doing in this role
  • Live your passion for data engineering and software development in exciting customer projects and be inspired by your colleagues’ enthusiasm
  • Your job will involve working closely with clients to analyse, design, develop and launch data-driven solutions and platforms that create and leverage business insights from distributed data sources
  • You will use your analytical and innovative mindset to challenge conventional thinking
  • Zuhlke's values of continuous development and knowledge sharing mean that you'll be working with the latest methods and tools to stay up to date with the latest trends
Who you are
  • You have a technical related degree and/or equivalent professional qualification
  • You have at least 5 years of experience in data engineering and/or backend software development, leaving you with proven software development skills and a firm foundation in modern software engineering methods like version control, TDD and CI/CD
  • You have excellent programming skills in Python, Java and SQL
  • You have proven expertise in at least one cloud platform like Cloudera, AWS, and GCP
  • You have solid know-how regarding data modelling, schemas, and API development, including REST or GraphQL
  • You have thorough hands-on skills of data engineering tools and frameworks such as Hadoop, Spark, Kafka, Redshift, ELK, as well as relational and NoSQL databases. You can provide advice on tool selection
  • You have practical knowledge of container technologies such as Openshift, Docker and Kubernetes
  • You have practical knowledge of handling varied types of data (text, tabular graph, time-series, geospatial, image etc.) and are familiar with concepts for storing and processing large and/or heterogeneous data volumes
  • You are familiar with business intelligence, data analytics and data visualisation frameworks
  • You have some experience with state-of-the-art data architectures, for example microservices, data lakes and data marts, and managing interdependencies between cloud and on-premise applications.
  • You have professional experience working in an agile development environment, preferably Scrum
  • You have strong communication skills and like making decisions
  • You value high quality technical solutions and you want to improve your skills every day
What we offer
  • Competitive salary and the security of a long-running, international success story
  • Become a part of company that demonstrates a true commitment to work-life balance
  • A clearly defined career growth plan with personal goals and achievement-based career prospects

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29/F, Sun Life Tower, 15 Canton Road Harbour City Tsim Sha Tsui
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