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Title:  Lead Engineer - Advanced Analytics

The team has a lot of freedom to shape this, especially in the use of tools and technology, but also by introducing new concepts, solutions and ways of working in Heineken at a global level.


A critical member of the Big Data Analytical platform development team is the Lead Engineer. He/she will be responsible for the design, development, and implementation of ELT jobs for ingestion, the data pipelines that will support the smart data products and help shape the overall architecture. The individual will probably work on multiple product teams at a time.


He/she must have very strong communication skills, have a hands-on mentality and must like to work as part of a multidisciplinary agile team. He/she will also  interface with a traditional IT organisation, where he/she will interact with the data architecture group to gather system knowledge necessary to execute his/her tasks.


Key Responsibilities:

  • Work with Product Owners 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
  • Works closely with both the backend developers as well as the IT data architecture group
  • Acts as evangelist of modern data engineering throughout the company
  • Be a strong advocate for a culture of process and data quality across development teams
  • Gather requirements and build roadmaps and architectures to help the Product Teams achieve their goals
  • Follow an agile development methodology.


Team Development

  • Lead by example and actively manage performance and development of teams and individuals
  • Develop and support the team to respond to current and future demands of a constantly changing technological and business landscape .




  • BS/MS degree in Computer Science, Engineering, Artificial Intelligence, Physics or related subject
  • 4+ years of experience with modern data architectures like Hadoop, Greenplum, Spark, CouchDB, Elastic, 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)
  • 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).
  • Strong hands-on and pragmatic problem-solving skills


Functional Competencies:

  • Experience working in start-up environment or organisations with an agile culture
  • Professional attitude and service orientation; superb team player
  • Decent written and verbal communication skills along with strong desire to work in cross-functional teams
  • Able to build a sense of trust and rapport that creates a comfortable & effective workplace
  • Attitude to thrive in a fun, fast-paced environment that acts as a start-up
  • Brings a high-energy and passionate outlook to the role and has a strong sense of ownership

Job Segment: Engineering Manager, Analytics, Engineer, ERP, Database, Engineering, Management, Technology

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