Sr. Data Engineer - FP&A

Cognite
Phoenix
Workplace: OnsiteFull timeFunction: Finance & AccountingExperience: 5+ yearsEducation: bachelorsSkills: ["Ownership","Problem-solving","Cross-functional collaboration","Humility","DevOps mindset"]

Build and scale the Cognite Enterprise Data Warehouse (EDW) for business FP&A, designing the semantic layer and selecting/implementing an EDW AI solution. You’ll lead data engineering strategy across integrations, extractions, data modeling, and ETL/ELT pipelines that power Power BI reporting and business data/AI agents. Collaborate with Finance, Sales, Marketing, P&O/HR, Legal, and Engineering while ensuring governance, security, privacy, and compliance.

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FursaFursa
Cognite
Cognite
3 months ago

Sr. Data Engineer - FP&A

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Last checked: 42 minutes agoStatus: Live

Job Summary

Build and scale the Cognite Enterprise Data Warehouse (EDW) for business FP&A, designing the semantic layer and selecting/implementing an EDW AI solution. You’ll lead data engineering strategy across integrations, extractions, data modeling, and ETL/ELT pipelines that power Power BI reporting and business data/AI agents. Collaborate with Finance, Sales, Marketing, P&O/HR, Legal, and Engineering while ensuring governance, security, privacy, and compliance.
Location: Phoenix
Workplace: Onsite
Employment Type: Full time
Job Function: Finance & Accounting
Seniority: Mid level

Key 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 integrations, extractions, data modeling, and analysis using data connectors, SQL, Python/Java, and REST APIs.
  • •Develop and maintain ETL/ELT pipelines and clean/transform/aggregate data optimized for Power BI reporting and AI agents.
  • •Establish governance and security standards for data quality, security, privacy, and compliance while collaborating with business stakeholders and engineering teams.

Pay and Benefits

Perks:401kHealth InsuranceDentalVisionDisabilityPaid LeaveParental Leave

Key Requirements

  • •5+ years of experience in internal or external customer-facing, data-intensive roles.
  • •Proven delivery of production-grade data pipelines using Python, SQL, and REST APIs.
  • •Hands-on experience with Azure cloud services (e.g., subscription management and Key Vault); familiarity with GCP is a plus.
  • •Experience with Microsoft Fabric (Lakehouse architecture, notebooks with PySpark/Spark SQL, DAG workflows) and PowerShell scripting.
  • •Experience building Power BI semantic models and reports for business stakeholders, plus GitHub Actions CI/CD and Terraform for access/infrastructure.
Experience:5+ years
Education:Bachelor's
Skills:OwnershipProblem-solvingCross-functional collaborationHumilityDevOps mindset
Tech Stack:AzureMicrosoft FabricPower BICognite Data Fusion (CDF)SQLPythonJavaREST APIsETL/ELTPowerShellGitHubGitHub ActionsTerraformKey VaultGCPLakehouse architecturePySparkSpark SQLDAG workflowsGitHub Actions CI/CD

Company Brief

Cognite
Provides industrial data software that helps companies connect, contextualize, and use operational data for analytics, AI, and digital transformation. Its platform is used by heavy-industry customers to improve asset performance and operations.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Oslo, Norway
Founded: 2016
WebsiteLinkedIn