Analytics Engineer building Snowflake and dbt data platforms for Tucows’ Internet businesses. Applying AI, SQL, Looker, and Python to drive data - informed decisions.
About the role
- Senior Analytics Engineer designing Lime’s finance-grade data warehouse and semantic layer. Ensuring governed, audit-ready reporting for the global shared micromobility business.
Responsibilities
- Design the long-term technical vision for Lime’s Corporate Data Warehouse
- Build a scalable Finance-grade semantic layer supporting Finance, Accounting, and Corp Tech analytics
- Own Finance data modeling strategy across NetSuite, sub-ledgers, and core systems
- Define and enforce dbt modeling, SQL style, CI/CD, documentation, and automated testing standards
- Build reconciliation-ready datasets for month-end close and audits
- Implement control totals, roll-forwards, sub-ledger-to-GL tie-outs, variance explanations, and transparent lineage
- Enforce data governance and controls covering ownership, glossary, lineage, change management, access patterns, and data quality validation
- Partner with Accounting, FP&A, and Finance Ops stakeholders
- Support month-end close workflows, audit evidence needs, and stakeholder trust
- Evaluate and integrate orchestration and automation capabilities across ingestion, transformation, and reporting pipelines
- Implement alerting, observability, and SLA monitoring
- Mentor Analytics Engineers through design reviews, code reviews, and pairing
- Report to the Corp Tech Analytics Manager in Enterprise Engineering
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field
- 5+ years in analytics engineering / data warehousing
- Track record of designing architectures that scale in fast-growing environments
- Strong backend instincts, including data contracts, idempotency, late-arriving data, reprocessing, control totals, and lineage
- Ability to influence technical and non-technical stakeholders at the Director/VP level
- 5+ years building and scaling cloud data stacks; AWS preferred
- Deep production experience with Snowflake
- Expert-level high-performance SQL
- Strong Python for transformation, tooling, and automation
- Deep dbt expertise, including macros, packages, performance patterns, and project structuring
- Experience with dimensional modeling, ELT pipeline design, and semantic layer design
- Experience with workflow orchestration tools such as Airflow
- Experience with CI/CD for data pipelines, version-controlled schemas, automated testing, code review standards, and release management
- Experience with reliability and observability practices
- Experience with data governance tools and practices, including cataloging, lineage, PII masking, and role-based access control
- Working familiarity with Spark, Flink, or Kafka and CDC/ingestion patterns
- Experience with Iceberg, Debezium, or Infrastructure-as-Code tools such as Terraform
- ERP fundamentals; NetSuite preferred
- Comfort with GL and sub-ledger complexity and sub-ledger-to-GL reconciliations
- Knowledge of revenue, COGS, asset balances, depreciation, accruals, and month-end close KPIs
- Knowledge of fixed assets/FAM, asset lifecycle data, depreciation logic, resets, adjustments, roll-forwards, and auditability
- Experience building reconciliation-ready datasets for close and audit support
- Familiarity with planning models such as Anaplan
- Experience working within strict internal controls such as SOX, audit readiness, IPO readiness, or other regulated environments
- Ability to work directly with Accounting, FP&A, and Finance Ops
- Candidates must reside in Canada
- English language proficiency is requested in the application form
Benefits
- Discretionary annual performance bonus opportunities
- Equity, subject to applicable plan terms and eligibility requirements
- Remote work arrangement
- Equal opportunity employer
- Reasonable accommodation during the application or hiring process
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