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Group Lead, IT - Data Engineering Chapter

Company:
Kraft Heinz
Location:
Amsterdam, North Holland, The Netherlands
Posted:
April 24, 2024
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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.

R-81784

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