Staff Analytics Engineer

Alpaca
EMEA
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Ownership","Collaboration","Stakeholder management","Problem-solving","Accountability"]

Own the transformation layer for a high-volume data platform, turning hundreds of millions of events per day into reliable, scalable data models. Build with dbt, SQL, and Trino on GCP-based infrastructure, optimize pipelines, and enforce standards for quality, testing, monitoring, and discoverability. Partner with Data Engineers, Data Scientists, and business stakeholders to deliver reusable BI and reverse-ETL-ready data products end to end.

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FursaFursa
Alpaca
Alpaca
16 hours ago

Staff Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Own the transformation layer for a high-volume data platform, turning hundreds of millions of events per day into reliable, scalable data models. Build with dbt, SQL, and Trino on GCP-based infrastructure, optimize pipelines, and enforce standards for quality, testing, monitoring, and discoverability. Partner with Data Engineers, Data Scientists, and business stakeholders to deliver reusable BI and reverse-ETL-ready data products end to end.
Location: EMEA
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain scalable data models using dbt and SQL to support financial reporting and operational metrics.
  • •Establish and enforce best practices for data modeling, development, testing, and monitoring to ensure data quality and integrity.
  • •Collaborate with finance, operations, customer success, and marketing to define requirements and deliver reliable data products.
  • •Integrate data models with BI tools and reverse ETL processes to enable consistent metric reporting.
  • •Champion high-quality engineering practices including source control, code reviews, change management, and data monitoring.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceHome OfficeEquity

Key Requirements

  • •4+ years of experience in analytics engineering or data engineering with strong transformation (ELT) focus.
  • •Proven ability to own data products end-to-end using analytics and data engineering best practices for quality and scalability.
  • •Strong ownership and collaboration in ambiguity, working with stakeholders to define requirements in a fast-paced environment.
  • •Experience identifying and implementing improvements to data warehouse performance and ETL efficiency.
  • •Expert SQL and dbt skills for complex queries and scalable data transformations.
Experience:Analytics engineeringData engineeringELTData modelingData transformationData warehousingFinancial servicesBrokerage
Skills:OwnershipCollaborationStakeholder managementProblem-solvingAccountability
Tech Stack:DbtSQLTrinoPythonGCPAWSPostgresIcebergCubeSemantic LayerCI/CDGitELTOLTPOLAPAirbyteAirflowBI toolsReverse ETLData warehouse

Company Brief

Alpaca
Provides developer-first APIs and brokerage infrastructure for algorithmic and automated stock trading, enabling fintechs and developers to build trading applications with commission-free market access and custody services.
Industry: Fintech Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Funding: Series C
Headquarters: San Mateo, United States
Founded: 2015
WebsiteLinkedIn