Lime
Lime
Lime — қысқа қашықтыққа қатынауға арналған ортақ пайдаланылатын электрлі самокаттар мен велосипедтерді ұсынатын қалалық көлік компаниясы. Қолданушылар оның қолданбасы арқылы көліктерді тауып, жалға ала алады, ал компания ыңғайлы қалалық қатынас тәжірибесінің бір бөлігі ретінде қауіпсіздікті, тұрақты көлікті және көліктерді жауапкершілікпен қоюды насихаттайды.

Senior Analytics Engineer, Finance Data (Canada Remote)

Lead Lime’s finance-grade data warehouse and semantic layer as a senior analytics engineer. Build governed, audit-ready reporting for a global shared micromobility business.

Сипаттама

  • Shape the long-term architecture for Lime’s Corporate Data Warehouse
  • Develop a scalable finance-grade semantic layer for Finance, Accounting, and Corp Tech analytics
  • Lead finance data modeling across NetSuite, sub-ledgers, and core business systems
  • Establish standards for dbt models, SQL style, CI/CD, documentation, and automated testing
  • Create datasets that support month-end close reconciliation and audit activities
  • Develop control totals, roll-forwards, sub-ledger-to-GL tie-outs, variance analysis, and clear data lineage
  • Maintain governance and controls for ownership, glossaries, lineage, change management, access patterns, and data quality
  • Collaborate with Accounting, FP&A, and Finance Operations stakeholders
  • Support close processes, audit evidence requirements, and stakeholder confidence in reporting
  • Assess and integrate orchestration and automation across ingestion, transformation, and reporting pipelines
  • Deliver alerting, observability, and SLA monitoring capabilities
  • Coach Analytics Engineers through design reviews, code reviews, and pairing sessions
  • Report to the Corp Tech Analytics Manager within Enterprise Engineering

Талаптар

  • Bachelor’s or master’s degree in computer science, data engineering, or a related technical discipline
  • At least five years of experience in analytics engineering or data warehousing
  • Proven experience designing architectures for fast-growing organizations
  • Strong backend engineering judgment, including data contracts, idempotency, late-arriving data, reprocessing, control totals, and lineage
  • Ability to influence technical and non-technical stakeholders at Director and VP levels
  • At least five years building and scaling cloud data platforms, preferably on AWS
  • Extensive production experience with Snowflake
  • Expert proficiency in high-performance SQL
  • Strong Python skills for transformation, tooling, and automation
  • Advanced dbt expertise, including macros, packages, performance techniques, and project organization
  • Experience with dimensional modeling, ELT pipeline development, and semantic layer architecture
  • Experience using workflow orchestration platforms such as Airflow
  • Experience implementing CI/CD for data pipelines, versioned schemas, automated tests, code review practices, and release management
  • Experience applying reliability and observability practices
  • Experience with data governance tools and methods, including cataloging, lineage, PII masking, and role-based access control
  • Working knowledge of Spark, Flink, or Kafka and CDC or ingestion patterns
  • Experience with Iceberg, Debezium, or infrastructure-as-code tools such as Terraform
  • Understanding of ERP fundamentals; NetSuite experience is preferred
  • Comfort working with general ledger and sub-ledger complexity, including sub-ledger-to-GL reconciliation
  • Knowledge of revenue, COGS, asset balances, depreciation, accruals, and month-end close KPIs
  • Knowledge of fixed assets and FAM, including asset lifecycle data, depreciation logic, resets, adjustments, roll-forwards, and auditability
  • Experience producing reconciliation-ready datasets for close and audit support
  • Familiarity with planning platforms such as Anaplan
  • Experience operating under strict internal controls, including SOX, audit readiness, IPO readiness, or other regulated environments
  • Ability to work directly with Accounting, FP&A, and Finance Operations
  • Candidates must live in Canada
  • English proficiency is requested in the application form

Артықшылықтар

  • Discretionary annual performance bonus opportunities
  • Equity subject to applicable plan terms and eligibility requirements
  • Remote work arrangement
  • Equal opportunity employer
  • Reasonable accommodation is available during the application or hiring process

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