Embedded in the NYC Tech Hub, we are building a cross-functional team of data scientists, analysts, and engineers with the mission to bring the modelling and analytical capabilities of our marketing organization to the next level.

As a Data Engineer with HelloFresh, you will support the analytic needs of our Growth organization for HelloFresh North America. You will play a pivotal role in helping us continue to succeed as the leading global meal kit provider. You will solve challenging data problems and will play a key part in developing our next-generation Data Platform to support all our operation processes, data sciences, and business intelligence data processing. Core responsibilities include designing and building scalable Python-based ELT/ETL workflows to transform and integrate data into Data Platform/Data Lake. You will also help make our data platform more scalable, resilient, and reliable. 

To succeed in this role, you must demonstrate a desire to improve on existing techniques and processes and have a passion for working with data. You should provide expert-level advice to data scientists, data engineers, and operations to deliver high-quality analytics via data pipelines and APIs.

• Work together in a cross-disciplinary team of Data Scientists, Data Analysts, and Data Engineers to evolve our data pipeline, warehouse, and workflow systems to be more resilient, extensible, and maintainable
• Partner with the analytics and data science teams to provide the data and tools they need to solve complex problems
• Identify improvements in the flow of our data, including designing tests
• Work with new technologies (both self-managed and services) for moving, transforming, modelling, and storing data and make recommendations
• Build and maintain complex and scalable ETL pipelines
• Collaborate with various teams to design a data analytic solution and data model that meets the needs of the business
• Provide technical leadership and mentor other engineers for best practices in data engineering

• Collaborative: you can work hand in hand with stakeholders, data scientists, engineers, and other data professionals to identify needs and opportunities for improved data management and delivery.
• Sense of ownership: you take responsibility for your projects and pride in your work.
• Strategic & critical thinking: you get the smaller and the bigger picture.
• Creative critical thinker and problem solver with meticulous attention to detail
• Ability to function in a fast-paced environment and have the flexibility to change course based on business needs or environmental conditions

• Bachelors in a STEM subject. E.g. Computer Science, Data Science, Math, etc
• At least two years two years experience designing and building highly scalable data pipelines using Airflow & Databricks
• At least two years of professional experience in Data Warehouse/Data Lake. Past experience in Marketing Analytics is a plus.
• Experience with Python, Spark, Databricks, DBT, Terraform, Snowflake, AWS (EMR, EC2, S3, etc.)
• Strong SQL, strong knowledge of databases, and experience in developing data pipelines. Solid knowledge of Python (packages: PySpark/ Pandas & Numpy). Experience with Snowflake & Databricks is a plus.
• Technical skills, including architecture/design, data modelling, and developing services
• An understanding of database design and ETL practices
• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to engineering teams and business audiences

• Competitive Salary & 401k company match that vests immediately upon participation
• Generous parental leave of 16 weeks & PTO policy
• $0 monthly premium and other flexible health plans effective first day of employment
• 75% discount on your subscription to HelloFresh (+ discounts on other product initiatives)   
• Snacks, cold brew on tap & weekly catered lunches
• Company sponsored outings & Employee Resource Groups
• Collaborative, dynamic work environment within a fast-paced, mission-driven company