обновлено 26 дней назад
Senior Data Engineer (SQL/dbt)
4 000 - 5 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (SQL/dbt): Building scalable data pipelines, models, and governed datasets for GCS reporting, billing reconciliation, and operational planning with an accent on data quality, cross-system reconciliation, and commercial analytics. Focus on designing automated workflows, resolving inconsistent data sources, and enabling advanced analytics, automation, and future AI-driven use cases.
Location: Vilnius, Lithuania; hybrid work with at least 3 days per week in the office
Salary: €4,000–€5,000 gross per month, plus short-term and, where applicable, long-term incentives.
Company
provides global financial market infrastructure and operates Global Connectivity Services supporting teams across New York, Stockholm, and Vilnius.
What you will do
- Build, maintain, and improve data pipelines, models, and datasets for reporting, billing reconciliation, and operational planning.
- Analyze customer behavior, product usage, and service trends to support Sales and Product decisions.
- Lead billing and inventory reconciliation across internal and external data sources.
- Create discrepancy reporting and alerting workflows.
- Develop governed data foundations for advanced analytics, automation, and future AI use cases.
- Collaborate with Product, Sales, Finance, and Data Center Operations to deliver scalable data solutions.
Requirements
- Bachelor’s degree in Computer Science, Business, or a related field, or equivalent practical experience.
- Professional experience in data engineering, analytics engineering, or a similar data-focused role.
- Strong SQL skills and experience building structured data transformations and automated workflows.
- Hands-on experience with dbt, QuickSight, Power BI, or similar data and analytics platforms.
- Experience reconciling inconsistent or incomplete data from multiple systems.
- Clear communication skills and the ability to work with technical and non-technical stakeholders across time zones.
Nice to have
- Experience with AWS-based data platforms and related tooling.
- Background in billing, inventory, compliance, or operational control processes.
- Exposure to AI, automation, or data foundation initiatives.
Culture & Benefits
- Hybrid work environment with regular office presence in Vilnius.
- Competitive gross base salary with short-term incentives and applicable long-term equity incentives.
- Rewards package supporting employees’ and their families’ financial, physical, and emotional well-being.
- Structured career framework with transparent opportunities for progression.
- Inclusive workplace with reasonable accommodation available throughout the hiring process.
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