Group Lead, IT - Data Engineering Chapter

Posted 21 Days Ago
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Amsterdam
Hybrid
Mid level
Big Data • Cloud • Food • Machine Learning • Software • Database • Analytics
We are on a journey to create a digitally-powered, agile-enterprise. Join us!
The Role
The Group Lead for IT - Data Engineering Chapter is responsible for developing and implementing strategies for the Data Engineering organization, leading a team, and providing hands-on design and development of data solutions. They will also manage data architecture, data quality, data governance, and ensure best practices in software design.
Summary Generated by Built In

Job Description
The Kraft Heinz Information Technology organization is hiring a Group Lead who will be responsible for implementing the short and long-term strategies to enable the Data Engineering organization. The individual for this position will be a technical expert providing leadership and expertise in the areas of data architecture, data management, data quality, data governance, and data engineering. They will manage internal stakeholders, facilitate the development and training of data engineers within the Chapter, as well as provide hands-on design and development of platform capabilities.
Primary Responsibilities

  • Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
  • Lead the development and training of all internal and external data engineering resources
  • Build generic frameworks for data ingestion, data processing, and data integrations
  • Enforces best practices for software design, architecture, and implementation
  • Implements monitoring tools/processes to ensure platform stability and operational SLAs
  • Extends DevOps capabilities for deploying data solutions
  • Leads rollout of data governance & security systems
  • Supports creation and adoption of data assets for the organization
  • Works with senior executives to address or prevent common pitfalls
  • Acts as a data owner and functional data SME for the assigned area


Qualifications

  • Bachelor's Degree or higher in Computer Science, Statistics, Business, Information Technology, or related field (Master's degree preferred)
  • Minimum 3+ years of experience in role delivering and supporting software and data engineering capabilities.
  • Strong design and software programming development (preferably Python, Javascript and/or R)
  • Strong experience with cloud services within Azure, AWS, or GCP platforms (preferably Azure)
  • Experience building APIs (experience with GraphQL is a plus)
  • Experience with analytical tools (preferably SQL, dbt, Snowflake, BigQuery, Tableau)
  • Hands-on experience with DevOps and CI/CD processes
  • Project management experience and strong communication skills
  • Self-Starter, driven with high business process acumen
  • Team Player with a positive attitude and ability to work across different business stakeholder and technical teams to accomplish complex tasks


Domain Expertise

  • 3+ years of working building enterprise data solutions
  • Proven ability to develop and deploy frameworks that can be leveraged across the data practice using services provided by major cloud platforms.
  • Proven experience creating data assets used in mission critical applications
  • Proven experience using DevOps practices in the data space (DevOps tools and ARM/Terraform templates).
  • Expert in Agile methodologies (certifications preferred)


Experiences

  • Experience in leading and managing cross functional teams.
  • Expert at developing data engineering talent and managing remote teams (internal and external)
  • Expert in the application of cloud technologies into a DataOps practice


Individual Skills

  • Strong leader, collaborator, team player, and individual contributor
  • Strong communication skills with comfort in speaking with business stakeholders
  • Strong problem solver with ability to manage and lead the team to push the solution and drive progress


Mindset & Behaviors

  • Passion to challenge the status quo and find new solutions and drive out of the box ideas - loves and embraces change
  • Believes in a non-hierarchical culture of collaboration, transparency, safety, and trust
  • Not afraid to "roll up sleeves"; seeks to go beyond comfort to learn & pushes teams to do the same
  • Empowers others to fail, learn, and grow with an experimental mindset to drive innovation


Location(s)
Amsterdam
Kraft Heinz is an Equal Opportunity Employer - Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.

Top Skills

JavaScript
Python
R

What the Team is Saying

Sarah
Diego
Brian
The Company
HQ: Chicago, IL
38,000 Employees
Hybrid Workplace
Year Founded: 2015

What We Do

At the heart of this journey is our ambition to create an enterprise where powerful AI solutions augment humans and where small mission-based teams are in relentless pursuit to solve tangible problems for our consumers, customers, and the enterprise. That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python, R, Spark, React, Tableau, Snowflake, Azure, and others to solve the problem on hand. In-turn, you can look forward to high-impact challenges, no bureaucracy, entrepreneurial small teams, and a unique opportunity to create and build something bold, awesome, and impactful – all while honoring our 150-year heritage and a portfolio of 200 iconic and emerging brands!

Why Work With Us

Our ambition is to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. You’ll invent the next wave of augmented intelligence products where software & humans work side-by-side to rethink every aspect of our company. You’ll make an imprint & leave your legacy on every part of our business.

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Kraft Heinz Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We also believe providing a more flexible and agile model is essential in today’s workplace. A majority of our office-based employees will be able to work remotely for up to two days each week.

Typical time on-site: 3 days a week
HQChicago, IL
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