Data Engineer, Learning infrastructure

Requirements

• You have 3+ years of hands-on experience implementing production machine learning infrastructure at scale in Python, Java, Scala, or similar languages
• You have a general understanding of data processing concepts
• You have experience with agile software processes and modular code design following industry standards
• You have deep experience with developing data processing systems at scale and optimizing for performance

What You'll Be Doing

• Identifies collaboration opportunities that support the teams and those working with the team/Features (other team and leads) and helps people with different perspectives be successful in their work together.
• Is a team-level expert in a primary domain or drives solutions to a broad set of problems across multiple domains for the squad
• Delivers on large, complex tasks for features as defined and on schedule, managing all dependencies and communication cross-functionally.
• Mentor other engineers, developing their skills and setting an example for engineering standards at Spotify.
• Consider the inter-squad connections between features and the rest of the machine learning product area, and Spotify wide machine learning ecosystem.

Where You'll Be

• This role is based in Stockholm
• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

Perks and Benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse.
• Flexible share incentives letting you choose how you share in our success.
• Global parental leave, six months off - fully paid - for all new parents.
• All The Feels, our employee assistance program and self-care hub.
• Flexible public holidays, swap days off according to your values and beliefs.