Sr. Data Engineer - FP&A

We're looking for a Senior Data Engineer with business acumen who is ready to tackle big challenges and advance their career. In this role, you'll join a team committed to creating cutting-edge business solutions that significantly impact critical business functions across Cognite. You will report to the Vice President of FP&A and be tasked with building out the Cognite Enterprise Data Warehouse (EDW) for business data.

Responsibilities

Lead the design and implementation of a scalable Enterprise Data Warehouse (EDW) and efficient data engineering solutions using Azure, Fabric, Power BI, and Cognite Data Fusion; Evaluate and select data technologies, frameworks, and platforms to support future business scaling needs; Drive and manage integrations, extractions, data modeling, and analysis using data connectors and SQL, Python/Java, and REST APIs; Develop and maintain data pipelines (ETL/ELT) to move data from source systems into data warehouses or data lakes; Clean, transform, and aggregate raw data into structured formats optimized for Power BI reporting and AI agents; Create custom data models for data discovery, mapping, and cleansing; Define conceptual, logical, and physical data models to map out how different data entities relate to one another; Establish standards for data quality, security, privacy, and compliance (e.g., GDPR, CCPA); Collaborate with business stakeholders and engineering organizations to enable data-driven business decisions

Requirements

Bachelor's or Master's degree in computer science or a related field; relevant experience may compensate for formal education; Minimum 5 years of experience in internal or external customer-facing, data-intensive roles; Proven experience delivering production-grade data pipelines using Python, SQL, and REST APIs; Hands-on experience with Azure cloud services, including administration tasks such as subscription management and Key Vault; Experience with Microsoft Fabric, including Lakehouse architecture, Notebooks (PySpark, Spark SQL, DAG workflows), and PowerShell scripting; Experience building and maintaining Power BI semantic models (star schema) and designing reports for business stakeholders; Proficiency with GitHub for version control, GitHub Actions for CI/CD, and Terraform for infrastructure and access management; Willingness to learn and ramp quickly on Cognite Data Fusion (CDF), including Python SDK, Flows/Dune, and GraphQL; DevOps mindset with experience across CI/CD pipelines and deployment environments; Able to independently investigate and solve complex data problems with minimal direction; Comfortable working in cross-functional teams spanning both technical and business stakeholders; Demonstrates humility — willing to ask for help and actively shares knowledge with others

Nice to have

Familiarity with GCP; Business degree (MBA) or demonstrated experience working in finance, sales, marketing, supply chain, or a similar business setting

Benefits

Competitive compensation; 401(k) with employer matching; Competitive health, dental, vision & disability coverages for employees and all dependents; Unlimited PTO; Paid Parental Leave Program; Employee Referral Program