Senior Data Engineer, FinOps

WHAT IS BOX?

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organisations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

Box is the Content Cloud - empowering enterprises to manage the entire content lifecycle, securely and at scale. Our Cloud Operations organisation is expanding, and we’re building a modern Ops Management Platform that powers smarter decisions, greater reliability, and cost efficiency across our cloud footprint.

As a Data Engineer on Cloud Operations, you will design and operate the data foundations that drive FinOps insights and SRE outcomes. You’ll partner with data science and FinOps experts to connect diverse data sources, maintain reliable and timely pipelines, and build user-facing interfaces that inform decisions on cloud cost optimization and operational excellence.

WHAT YOU'LL DO

• Partner with data science, SRE, and FinOps stakeholders to translate business requirements into scalable data solutions.
• Design, build, and own robust ETL/ELT pipelines that ingest, clean, transform, and aggregate data from disparate systems.
• Implement data quality, testing, and observability to ensure trustworthy, timely datasets and dashboards.
• Monitor pipelines, troubleshoot incidents, and proactively communicate status and remediation plans.
• Develop and maintain user-facing data assets and interfaces that power cloud cost insights and operational reporting.
• Contribute to engineering best practices, code reviews, documentation, and sprint ceremonies.
• Collaborate cross-functionally with Finance, Engineering, and leadership to align data deliverables with business priorities.
• Champion continuous improvement in performance, reliability, and cost effectiveness of data workflows.

We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

WHO YOU ARE

• 5+ years of experience working with large-scale data in industry or relevant academic research.
• Strong SQL skills and experience with relational databases; proficiency in data modeling and performance optimisation.
• Hands-on experience with Google Cloud Platform services (e.g., BigQuery, Dataproc, Dataflow or Cloud Data Fusion).
• Proficiency with at least one programming language for data engineering, preferably Python.
• Experience building and operating ETL/ELT pipelines; familiarity with APIs and integrating structured and unstructured data.
• Practical knowledge of version control (e.g., Git), CI/CD, and Infrastructure as Code.
• Strong collaborator with the ability to work across Finance, Engineering, and Senior Management stakeholders.
• Plus: Understanding of cloud finance/economics (FinOps), cost allocation, and optimisation strategies.

Benefits:
Check out the overview of the benefits and additional perks offered at Box.

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

For details on how we protect your information when you apply, please see our Personnel Privacy Notice.
For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice.

#LI-GW1 #LI-Hybrid