Apply now »

 

 

 

Position Title:[[Data Engineer]]

 

 

 

We are passionate about food. But we’re even more passionate about our People!

 

We are looking for a qualified Data Engineers to join our McCain Family! As part of the McCain Family, you will be part of an amazing team doing great things!

 

JOB RESPONSIBILITIES:

  • Design and develop solutions with minimal supervision that are in line with McCain standards and scalability using enterprise azure data platform.
  • Create and maintain optimal/reliable data pipelines to meet business needs.
  • Define and operate the infrastructure required for optimal extraction, transformation and loading (ETL) of data from a wide variety of data sources using various azure technologies as needed.
  • Design and implement life cycle management processes (DevOps) to enable continuous integration and continuous deployment (CICD) of data systems.
  • Create design documents and communicate the design to delivery teams.
  • Contribute to project planning by providing time and effort estimates for development and implementation tasks and deliverables
  • Be a catalyst for change and embrace challenges and new technology.
  • Manage assigned deliverables and timelines towards the successful delivery of projects.
  • Integrate data from various resources (including external data sources and IoT) and manage the big data as a key enterprise asset.
  • Create and maintain backend data solutions for data analysts and data scientists. Assist them in unlocking insight from enterprise data.
  • Identify data quality issue and make recommendation for addressing root causes.
  • Setup monitoring of data pipelines and work on incident resolution based on expected SLAs.
  • Work with stakeholders including product, data and architecture SMEs to assist with data-related technical issues and support their data infrastructure needs.
  • Ensure compliance to data architecture and security requirements from other domain owners.
  • Work with other domain SMEs and vendors e.g. Microsoft, to resolve data related incidents

MEASURES OF SUCCESS:

  • Compliance to enterprise standards and best practices.
  • Solution performance (measured by response time and compute time)
  • Incident reduction
  • High Availability
  • Data analysis, AI tools and models, and data algorithms.
  • Design and evolution of AI and data models.

About You:

  • University degree in computer science, information systems or relevant discipline
  • Strong experience delivering globally scalable solutions.
  • Experience with solution cost optimization.
  • A minimum of 5 years’ experience in a similar role.
  • Knowledge of AI models, Agile / SCRUM project delivery, DevOps and CICD practices.
  • Efficient at performing root cause analysis to address issues and applying long-term fixes.
  • Good knowledge of Azure data services (Azure Data Factory, Synapse, Azure Data Lake Storage, Event Hub, Databricks, Cognitive Services, etc.)
  • Good knowledge of Object-function scripting languages like Python and Java Script.

 

OTHER INFORMATION

  • Travel: as required
  • Job is primarily performed in a standard office environment but working from home an option upon agreement with Manager & McCain Policies

 

Apply Now if you are looking to be part of a flourishing and energetic environment! Join a recognized brand known throughout households across the globe!

 

McCain Foods is an equal opportunity employer. We see value in ensuring we have a diverse, antiracist, inclusive, merit-based, and equitable workplace.  As a global family-owned company we are proud to reflect the diverse communities around the world in which we live and work. We recognize that diversity drives our creativity, resilience, and success and makes our business stronger. 
 
McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to meet your needs.
 
Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with the Global Employee Privacy Policy 

 

 

Apply now »