Kraft Heinz, The Company

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. Some are iconic master brands like Heinz, Kraft and Planters. Others are fast growing new sensations that defy status quo like DEVOUR and Primal Kitchen. 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 36,000+ 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’re passionate like us -- and ready to create the future, build on a 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. It all comes down to the way we empower our people to own their work. It’s true Our employees are our competitive advantage.

As part of the Kraft Heinz family you’re supported to grow and achieve. You’re recognized and rewarded for outstanding performance at every level. You’re given the opportunity to leave your mark and build legacies. But you won’t do it alone. This is where our values and teamwork thrives and collaborative spirit fuels every day.

General information

All posting locations: Chicago, Illinois, United States of America

Job Function: 16 - Digital

Department: 16 - 03 - Software Engineering

Date Published: 22-Jan-2021

Job Type: Regular

Description & Requirements

As a Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling Kraft Heinz to advance data-driven decision-making capabilities across the enterprise. You will have a deep understanding of data architecture, data engineering, data analysis, and reporting -- and a basic understanding of data science techniques and workflows, as well as the business processes supported by the data pipeline. Examples of problems you will tackle include helping R&D determine the next generation of household products, revolutionizing consumer engagement with personally relevant content, and reinventing our supply chain to eliminate food waste. Furthermore, you will:

  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
  • Solve complex data problems to deliver insights that helps our business to achieve their goals
  • Create data products for Business Intelligence Engineers, Business Analyst and data scientist team members to improve their productivity
  • Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
  • Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
  • Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team
  • Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
  • Partner with machine learning engineers, business intelligence engineers and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
  • Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.

WHO YOU ARE

  • Bachelor’s degree required; Computer Science, MIS, or Engineering preferred
  • Expertise in ETL and data analysis and experience with SQL and at least one programming language (Python/R preferred)
  • Experience developing and maintaining data warehouses in big data solutions e.g. Snowflake
  • Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)
  • Database development experience using Hadoop, SPARK or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies
  • Worked with BI tools such as Alteryx, Tableau, Power BI, Looker
  • Conceptual knowledge of data and analytics, such as dimensional modeling, ELT, reporting tools, data governance, data warehousing, structured and unstructured data.
  • Big Data Development experience using Hive, Impala, Spark and familiarity with Kafka (Preferred)
  • Familiarity with the Linux operating system
  • Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
  • An agile learner who brings strong problem-solving skills, and enjoys working as part of a technical, cross functional team to solve complex data problems
  • A hard worker and consensus gainer who brings a strong numbers sense; you are intellectually curious and willing to adjust your position based on additional information

WHY US?

We are on a journey to create a digitally-powered, agile-enterprise. 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!

Equal Opportunity Employer–minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity