Data Engineer, HQ

S'more about the team

The Data Engineer is responsible for driving critical data infrastructure development, optimization and adoption to scale organizational data and analytics capabilities. This includes building data pipelines, defining data storage, management, and governance strategies, assessing new technologies, and deploying data assets and solutions into production, including effectively communicating the scope and details of these data solutions to both data-centric and non-data-centric stakeholders. Reporting to the Manager of Data Operations, this role will work within a team of Data Engineers on building effective and scalable data infrastructure.

Lettuce share what this role will be responsible for

• Lead the design and development of various engineering solutions, across multiple stakeholder groups, including building data pipelines, maintaining critical infrastructure, and deploying various data solutions into production
• Collaborate with data scientists, business intelligence specialists, and other data peers to deliver best in class data assets (e.g. databases, systems/tools, web apps) to the organization as part of a holistic data framework/strategy, to facilitate effective, long-term scalability
• Work with local and global stakeholders to accelerate the deprecation of legacy systems/data stacks, as well as the implementation of next-gen replacement systems, to better align to a global infrastructure and data strategy, including providing technical consultation on best practices and strategy
• Lead the development of documentation around critical infrastructure, data systems, data tables, data flows, and other data artefacts for knowledge socialization, including engaging with and training stakeholders when necessary, to drive data fluency and adoption
• Support manager with elements of team management activities, including talent acquisition, performance management, career development, and upskilling
• Liaise with Global data engineering teams to identify opportunities for collaboration, support, knowledge sharing and adoption of infrastructure

Sound a-peeling? Here's what we're looking for

• 3-5 years of experience leading large-scale data engineering projects and mentoring junior engineering resources
• Demonstrable experience and familiarity with relevant, industry-leading data tools/systems (e.g., Databricks, Airflow, Snowflake, AWS/S3, Docker, Kubernetes, GitHub, StreamLit, etc.)
• Advanced, demonstrable Python programming knowledge and experience
• Advanced, demonstrable SQL querying knowledge and experience
• Experience delivering quantifiable value for various commercial stakeholder groups, including driving data training initiatives, and clearly communicating technical details to non-technical stakeholders to enable critical decision-making
• Experience supporting team data strategies and operating models with business partners
• Bachelor’s degree in STEM, Economics or Business preferred, or equivalent work experience
  
  

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness -Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO -Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression, provide development opportunities, and invest in your continued learning through our organization wide L&D fund.
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
  
  

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

Working Conditions

It’s no surprise that as a food company, we use many ingredients that may be considered common allergens (i.e. peanuts, tree nuts, milk, etc.). Whether this role is based out of our headquarters or one of our distribution centers, it is possible that you may be exposed to such allergens in this role. If you have any concerns with being exposed to any particular food ingredients, including meat, please disclose this during the hiring process. 

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

Interested in joining the HelloFresh team? Don’t be chai, apply! Submit your application in PDF format today.