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HelloFresh // meal kit delivery
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The role

The position is part of the Global Operations Analytics & Technology Alliance, which has the mission to harmonize supply chain data to enable easier data-driven decision making across our enterprise domains. GOAT Alliance helps produce a supply chain environment that ensures the highest quality product while adapting to changing customer needs.

Our Data Engineers assume development & operational responsibility for the HelloFresh Platform that enables serving millions of customers globally by providing the best & efficient experience for our customers & internal users.

Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills & we love diverse experiences! So even if you dont tick all the boxes but think youd thrive in this role, we would really like to learn more about you.

What youll do

  • Take ownership of the end-to-end process, including architecture, design, development, deployment, & operations of data pipelines, applying DevOps practices, pair programming, & other cutting-edge methodologies. 
  • Be active, solution-oriented member of autonomous, cross-functional agile teams collaborating with Product Owners, Back-end Engineers, Front-end Engineers, Product Analysts, & Business Intelligence teams 
  • Demonstrate an in-depth understanding of HelloFreshs core product & architecture, & act as ambassador for software solutions offering support & mentorship to colleagues
  • Work with state-of-the-art technologies like AWS (EMR, Glue, s3, etc), Kafka, PySpark, Kubernetes, Airflow, Databricks, as well as our in-house Data Pipeline tools

What youll bring

  • Solid software engineering experience with the ability to design, implement, & deliver maintainable, high-quality code in Python 
  • Hands-on experience with cloud computing & data processing technologies, including PySpark, Kubernetes, Kafka
  • Expertise in data modeling, relational databases (e.g., PostgreSQL), & object stores (e.g., AWS S3),  cloud data platform (e.g. databricks), Data warehouse (e.g. Snowflake)
  • Proven expertise in making efficient & robust data pipelines, including optimizing their performance 
  • Passion for data quality assurance, data monitoring
  • Expertise in end-to-end development processes, including unit, integration & functional testing, application tuning/profiling, & continuous integration
  • Extensive experience with agile methodologies, with a strong focus on delivery, lean thinking, & quick iterations
  • Ability to continuously develop yourself & learn from your peers
  • Ability to collaborate & mentor team members, while also sharing practical knowledge & trends
  • Familiarity with e-commerce & subscription-based businesses is a plus

Interacting with back-end developers, front-end developers, product analysts, product managers & other teams around the world is very much part of our day-to-day, so communication skills are vital. We are looking for strong problem-solvers who can apply their engineering skills to a wide range of platforms & environments, while also acting as an ambassador to coach team members & stakeholders.

Youll get

  • Competitive salary, 401k with company match that vests immediately upon participation, & company equity plan based on role
  • Generous PTO, including sabbatical, & parental leave of up to 16 weeks
  • Comprehensive health & wellness benefits with options at $0 monthly, effective first day of employment
  • Tuition reimbursement for continuing education
  • Up to 75% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, & Factor_)
  • Access to 7 different Employee Resource Groups (ERGs) including those for BIPOC, women, veterans, parents, & LGBTQ+
  • Inclusive, collaborative, & dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks & responsibilities as needed to meet changing business needs, operational requirements, or other factors.

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