Analyst, Data Engineer

Kraft Heinz, The Company

The Kraft Heinz Company is the fifth largest food and beverage company in the world, with eight $1 billion+ brands and global sales of approximately $25 billion. We are a globally trusted producer of delicious foods for 150 years, and we provide high quality, great taste and nutrition for all eating occasions whether at home, in restaurants or on-the-go. The Kraft Heinz Company manufactures and markets food and beverage products in the United States, Canada, Europe, the Middle East, Africa, Latin America, Australia and throughout Asia-Pacific.  Our products include condiments and sauces, cheese and dairy, meals, meats, refreshment beverages, coffee, and other grocery products, as well as infant and nutrition products.

As one of the world’s largest food and beverage companies, we are proud to spark joy around mealtimes with a global portfolio of more than 200 brands. Our iconic brands include Kraft, Oscar Mayer, Heinz, Philadelphia, Lunchables, Velveeta, Planters, Maxwell House, Capri Sun, Ore-Ida, Kool-Aid, Jell-O, Cracker Barrel, Classico, and McCafe, among others. We sell products through our own sales organizations and through independent brokers, agents, and distributors to convenience stores, drug stores, value stores, bakeries, pharmacies, mass merchants, club stores, foodservice distributors, and institutions (e.g., hotels, restaurants, hospitals, health care facilities, and certain government agencies) as well as to chain, wholesale, cooperative, and independent grocery accounts.

No matter the brand, we are united under one vision: To Be the Best Food Company, Growing a Better World. Bringing this vision to life are our 39,000+ teammates around the world, making food people love. Together, we help provide meals to those in need through our global partnership and commitment with Rise Against Hunger. And we also stand committed to sustainability, and the health of our planet and its people. Every day, we are transforming the food industry with bold thinking and unprecedented results. If you share our passion — and are ready to create the future, build on storied legacy, and participate as a conscientious global citizen — there’s one thing to do: join us.

Our culture of Ownership, Meritocracy and Collaboration

We’re not afraid to think differently. Embrace new ideas. Dream big. We empower our people at every level — from entry intern to senior leader — to own their work. We believe that we share a responsibility to think like Owners – to be mindful of the collective and sustained success of Kraft Heinz — and we apply this to every situation, every day. As part of Kraft Heinz, you’re supported to grow and achieve. You’re recognized and rewarded for outstanding performance at every level. You’re given opportunity to leave a mark and build a legacy. But you won’t do it alone. You’ll be supported by a thriving group of teammates in over 40 countries around the world, and our collective, collaborative spirit fuels our incredible progress every day.

Position Summary

The Kraft Heinz Information Technology organization is hiring a Data Engineer II who will be responsible for leveraging framework and platform capabilities to develop high-quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data to advance the data-driven decision-making across the enterprise. The individual for this position will be an individual contributor with broad experience in the areas of data engineering, data architecture, data management, data quality, and data governance. They will interact with internal stakeholders, drive development, support existing solutions, as well as contribute to the broader data engineering organization. At this level, the engineer owns features and pipelines end-to-end within a project — design, build, test, deploy, and operate — with limited guidance.

Primary Responsibilities

- Develops and operates modern data engineering solutions to meet key business objectives

- Contributes to generic frameworks for data ingestion, data processing, data integrations, and data governance

- Follows best practices for software design, architecture, and implementation

- Conducts code reviews as a core expectation of the role, providing feedback on logic, design patterns, and correctness with constructive commentary

- Leverages monitoring tools/processes to ensure platform stability and operational SLAs

- Extends DevOps capabilities for deploying data solutions

- Supports creation and adoption of data assets for the organization

- Works with product owners to address or prevent common pitfalls

Qualifications

- Bachelor’s Degree or higher in Computer Science, Statistics, Business, Information Technology, or related field

- Minimum 1+ years of experience in role delivering and supporting software and data engineering capabilities.

- Exposure to design and software programming development (design patterns, framework development, etc)

- Good in core Python programming language skills (not limited to PySpark or analytical libraries)

- Good SQL development and analytical skills

- Good understanding of object-oriented programming principles

- Knowledge of automated code testing (pytest / unittest) and data testing (great expectations / dbt / etc.)

- Hands-on exposure to analytical tools & services (dbt, Snowflake/BigQuery, Tableau/PowerBI)

Domain Expertise

- 1+ years of working building enterprise data solutions

- Proven experience creating data assets used in mission-critical applications

- Experienced in Agile methodologies

Experiences

- Experience in being a member of cross-functional teams.

Individual Skills

- Strong 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

Mindsets and 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