2 дня назад
Data Engineer III (Fintech)
49 600 - 74 400€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer III (Fintech) (Python/SQL/GCP): Building and maintaining scalable data infrastructure, including data models, ETL/ELT pipelines, and orchestration systems for a global payments platform with an accent on reliability, data quality, and cloud architecture. Focus on designing high-volume data pipelines, implementing governance and monitoring, and translating business requirements into robust technical solutions.
Location: Riga, Latvia
Base salary: €49,600–€74,400 per year
Company
is a global bank payments and financial services company providing Direct Debit, real-time payments, open banking, and AI-powered payment solutions.
What you will do
- Design, develop, and maintain data models, schemas, and ETL/ELT pipelines for large data volumes.
- Build scalable cloud data architectures and orchestration systems with scheduling, dependencies, and retries.
- Implement data quality checks, monitoring, validation, governance, and security practices.
- Collaborate with engineers, data scientists, AI/ML engineers, analysts, and business stakeholders to deliver data solutions.
- Improve data infrastructure, document technical systems, and share engineering knowledge.
Requirements
- Strong SQL skills and experience with relational and/or NoSQL databases.
- Experience designing data models and schemas for analytics or product use cases.
- Hands-on experience building ETL/ELT pipelines with tools such as Airflow, Dataflow, or similar.
- Experience with Google Cloud Platform, including BigQuery, CloudSQL, Dataflow, or Pub/Sub, or equivalent AWS/Azure services.
- Proficiency in Python or another data engineering programming language, plus Git and CI/CD experience.
- Knowledge of data governance, security, data privacy regulations, and communication with non-technical stakeholders.
Nice to have
- Fintech or payments industry experience.
- Terraform or CloudFormation experience.
- Experience with orchestration platforms, streaming, real-time processing, ML pipelines, data visualization, or business intelligence tools.
Culture & Benefits
- Collaborative data engineering environment with cross-functional work across the company.
- Medical cover and dedicated wellbeing support.
- Adaptive working arrangements and a work-away scheme for up to 90 days in any 12-month period.
- Parental leave, generous holiday allowance, volunteer days, and annual wellness days.
- Annual learning budget and support for professional development.
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