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3 дня назад

Analytics Engineer (Finance)

3 433 - 4 650
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Lithuania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Analytics Engineer (Finance/Logistics): Building and maintaining financial data models and pipelines for cost controlling, invoice reconciliation, and reporting across a high-volume European logistics network with an accent on data accuracy, auditability, and pipeline reliability. Focus on designing dbt and BigQuery models, implementing automated data quality controls, monitoring production pipelines, and translating finance requirements into technical specifications.

Location: Hybrid work in Kaunas or Vilnius, Lithuania, with two recommended office days per week.

Salary: €3,433–€4,650 gross per month.

Company

hirify.global operates a second-hand marketplace and related logistics and payments businesses across Europe, the US, and Australia.

What you will do

  • Build and maintain scalable financial data models in BigQuery and dbt.
  • Transform operational and carrier invoicing data into trusted finance-ready datasets.
  • Implement automated data quality controls, reconciliation checks, and anomaly detection.
  • Monitor pipeline freshness, volume shifts, schema changes, and production reliability.
  • Investigate incidents, identify root causes, and apply permanent fixes.
  • Collaborate with Finance and FinOps stakeholders and contribute to Looker models and dashboards.

Requirements

  • Experience as an Analytics Engineer, Data Engineer, or in a closely related data role building production-grade pipelines.
  • Strong SQL skills with a focus on clean, readable, and performant queries.
  • Hands-on experience with dbt and Git, including modular modeling and testing practices.
  • Understanding of dimensional modeling, star schemas, slowly changing dimensions, and incremental processing.
  • Strong English communication skills are required for discussing technical trade-offs, explaining concepts, and documenting data models.
  • Pragmatic problem-solving approach focused on data correctness, auditability, and maintainability.

Nice to have

  • Experience with Google Cloud Platform, BigQuery, Apache Airflow, Python, or Looker.
  • Exposure to invoice reconciliation, revenue or cost allocation, general ledger, or accounting periods.

Culture & Benefits

  • Hybrid work model with flexibility to work from home.
  • Up to 90 remote workation days per year in the EU, including up to 21 days globally; non-EU citizens can work worldwide for up to 21 days.
  • €3,000 annual learning budget and up to 10 working days for development over two years.
  • 25 working days of holiday, private health insurance, and an Employee Assistance Program.
  • Home-office equipment and up to €540 for workplace furniture, plus share options and team events.

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