Data engineer

Job description




This role is part of the D&T (Digital and Technology) department of HEINEKEN International and is located in Heineken Global Shared Service in Cracow. D&T is proud to bring cutting-edge innovation, strong technology, and advanced analytics to HEINEKEN globally. With speed and agility, we ensure HEINEKEN has the technological competitive advantages it needs to deliver on its ambition.

Data Engineer Connected Brewery IoT as team member of the Smart Brewery IoT team within Connected Brewery Portfolio in the Supply Chain Domain. He/She provides services to intelligently support the shop floor of our Breweries in their increasingly complex tasks and unlock opportunities through insights that we never had before.

The Smart Brewery is an industrial facility with very high efficiency, and very low maintenance time that can be monitored, diagnosed, and improved on-site or remotely thanks to digital.

You will work closely together with the Development Teams of our suppliers, Product Owners, Deployment Teams and Supply Chain organization centrally and in our Breweries.

Key Responsibilities
  • Work with Product Owners in Connected Brewery to help them leverage smart data solutions
  • Providing guidance on suitable options for designing and creating data pipelines for the analytical solutions to/from data lakes/data warehouses to e.g. microservices or API's.
  • Building ELT jobs based on jointly defined requirements
  • You will be actively exploring, designing, building, and supporting the Connected Brewery Data Platform
  • Works closely with both the backend developers as well as the IT data architecture group
  • Develop data set processes for data modeling, mining, and production.
  • Mine and analyze data to drive optimization and improvements
  • Develop custom data models and algorithms to apply to data sets.
  • Be a strong advocate for a culture of process and data quality across development teams
  • Gather requirements and support to build roadmaps and architectures to help the Product Team achieve their goals
  • Managing the quality of the solution and technical debt
  • Follow an agile development methodology
  • A MSc (or PhD) in Computer Science, Mathematics, Physics, or related technical field
  • 4+ years of experience with modern data architectures like Hadoop, Greenplum, Spark, CouchDB, Elastic, Glue, Kinesis, S3, Lambda, Athena, EventHub, etc.
  • Experienced with data modelling, design patterns, building highly scalable and secure analytical solutions
  • Experienced with SQL, scripting languages (Python, Perl, Ruby), UNIX shell scripting, versioning systems (e.g. Git)
  • Supporting tooling such as Gitlab (CI/CD), Terraform (Infra)
  • Experience with AWS IoT core components
  • A plus is experience in
  • Connecting a modern data architecture with TeraData, Oracle, MySQL, SAP HANA, Power BI, QlikView (or similar reporting and BI package).
  • Industrial protocols and/or concentrator suites like Kepware Server, GE Historian, etc.
  • Knowledge of CHEF (orchestrator)
  • Strong hands-on and pragmatic problem-solving skills
  • Duration: 6 months with an option to extend
I-Working hybrid, so mostly remote if you want to. Only one or two days at the office.
  • Location Amsterdam

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