Senior Analytics Engineer

🔥 14 hours ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

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Logo of Lime

Lime

501 - 1000 employees

Founded 2017

📦 Logistics

💼 Consulting

✈️ Travel

💰 $418M Convertible Note on 2021-11

Logistics • Consulting • Travel

Lime is a transportation company that provides shared electric scooters and bikes in urban areas, making it easy for users to travel short distances. With a focus on safety, sustainability, and community, Lime aims to offer an eco-friendly alternative to traditional transportation methods. Users can easily locate and rent vehicles through the Lime app, promoting responsible riding and parking practices to enhance the urban mobility experience.

📋 Description

• Design the long-term technical vision for Lime’s Corporate Data Warehouse • Build a robust, scalable Finance-grade semantic layer for 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 supporting 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 automated data quality validation • Partner with Accounting, FP&A, and Finance Ops stakeholders on close workflows, audit evidence, and analytics solutions • Evaluate and integrate orchestration and automation capabilities across ingestion, transformation, and reporting pipelines • Implement alerting, observability, and SLA monitoring to reduce manual intervention and operational risk • Mentor Analytics Engineers through design reviews, code reviews, and pairing • Report to Lime’s Corp Tech Analytics Manager in Enterprise Engineering • Collaborate with Finance & Accounting leadership to deliver audit-ready business performance and financial reporting data

🎯 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 data stacks on cloud providers; AWS preferred • Deep production experience with Snowflake, including warehouse sizing, clustering, incremental strategies, query profiling, and cost/performance trade-offs • 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 for Finance-grade reporting • Experience with workflow orchestration tools such as Airflow, including DAG design, dependency management, backfills, retries, and SLAs • Experience with CI/CD for data pipelines, version-controlled schemas, automated testing, code review standards, and release management • Experience with freshness and volume monitoring, anomaly detection, lineage tracking, alerting, runbooks, and ownership • 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 • Understanding of ERP fundamentals, including NetSuite, transactions, GL impact, accounting periods, close calendars, and dimensionality • Comfort navigating GL and sub-ledger complexity and modeling sub-ledger-to-GL reconciliations • Understanding of revenue, COGS, asset balances, depreciation, accruals, and month-end close KPIs • Knowledge of fixed assets / FAM, depreciation logic, asset resets and adjustments, roll-forwards, and auditability • Experience building reconciliation-ready datasets for close and audit support • Familiarity with planning models such as Anaplan and plan-versus-actuals alignment • Experience working within strict internal controls, SOX, audit readiness, IPO readiness, or other regulated environments • Ability to work directly with Accounting, FP&A, and Finance Ops • Candidates must reside in and work remotely from Portugal • English language proficiency information is requested during application

🏖️ Benefits

• Equal Opportunity Employer • Reasonable accommodation during the application or hiring process • Potential future contact about job opportunities for up to 18 months (with consent)

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