Data Engineer

Bynder goes far beyond managing digital assets. Our AI-powered digital asset management platform enables teams to conquer the chaos of proliferating content, touch points, and relationships in order to thrive.

With intuitive, AI-powered solutions that enhance content creation, simplify asset discovery, and maximize the value of every asset, we are the brand ally that unifies and transforms the creation and sharing of assets—inspiring teams, delighting customers, and elevating businesses.

Join our global team of 600+ ‘Byndies’ and contribute to shaping the future of digital asset management! As a leader in the industry, our AI capabilities empower over 1.7M users across 4,000+ organizations, including Spotify, Puma, Five Guys and Icelandair to work smarter with their content. With a commitment to innovation and a presence in eight offices worldwide, Bynder offers a dynamic environment where you can make a real impact.

Ready to grow your career by helping the world's leading brands create exceptional content experiences and thrive?

Explore this opportunity and apply now to join our talented team.

About the Team

Bynder’s Platform Services team provides advanced, customer-specific technical services, but we're not a product development team. We don’t build new features; instead, we operate as a second-line engineering support team that delivers custom, data-driven solutions at the request of our clients and internal stakeholders.

We sit at the intersection between Customer Success, Onboarding, and Product Development teams. Our role is to understand both the technical architecture of the Bynder platform and the business needs of our clients, translating between the two. This means we need engineers who not only have strong technical expertise but also excellent communication skills to explain complex concepts clearly to non-technical users, while collaborating effectively with developers and other stakeholders.

What you will do:

As a Data Engineer on the Platform Services team, you’ll work on high-impact, client-specific technical requests that go beyond traditional support. Your responsibilities will include:

• Handling and resolving technical service requests from clients and internal teams via our Jira ticketing system.

• Balancing day-to-day ticket work with longer-term service projects.

• Designing, building, and maintaining reusable solutions like scripts, data workflows, and repeatable processes to solve recurring technical challenges.

• Working with data migrations involving AWS S3 buckets and SFTP setups.

• Extracting and transforming data from Bynder databases (MySQL/Postgre
  
  SQL) to deliver analytics and reports.

• Applying metadata tagging and supporting digital asset import/export workflows.

• Communicating clearly with both technical and non-technical audiences, making complex concepts accessible and actionable.

• Proactively identifying opportunities to automate and streamline manual work.

• Supporting knowledge sharing during weekly standups and confluence documentation to help the team scale its impact.

What you'll bring:

Technical

Skills:

• Minimum of 3 years of experience as a Data Engineer or in a similar role.

• Advanced proficiency in SQL (MySQL, Postgre
  
  SQL), you can write efficient queries, optimize performance, and structure data cleanly.

• Strong Python skills, including data-focused libraries (e.g. pandas, Num Py).

• Experience with orchestration tools such as Airflow,or similar, including writing DAGs, managing schedules, and handling task dependencies.

• Proficient in bash scripting and automation, including cron jobs and shell pipelines.

• Hands-on experience with AWS, particularly services like S3 and Athena. Familiar with AWS SFTP and secure data transfer mechanisms.

• Familiarity with version control (Git) and containerization tools (Docker).

• Understanding of APIs, webhooks, and integration patterns.

• Experience or knowledge in AI/ML is a big plus, especially in automating or enhancing repetitive data workflows and processes.

Soft Skills:

• Excellent verbal and written communication in English, able to explain technical concepts to non-technical stakeholders clearly and effectively.

• Comfortable operating in the space between…