Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Senior Data Engineer (Contractor) (Fintech): Building and operating scalable data pipelines, data infrastructure, and MLOps automation for a payments platform with an accent on data quality, reliability, security, and cloud-based processing. Focus on designing analytical datasets, optimizing Spark and SQL workflows, and implementing governance, observability, CI/CD, and model lifecycle practices.
Location: Remote role associated with Bucharest, Romania
Company
hirify.global provides payment solutions, multicurrency accounts, and e-commerce tools that help businesses accept and manage payments.
What you will do
Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations.
Design and evolve scalable data architecture for business and performance requirements.
Deliver curated, analysis-ready datasets with analysts and data scientists to enable self-service analytics.
Implement data quality, testing, monitoring, lineage, reliability, access control, auditability, and governance practices.
Build and maintain MLOps automation, including CI/CD, environment management, artifact handling, and versioning of data, models, and code.
Requirements
6+ years of experience as a Data Engineer building and maintaining production-grade pipelines and datasets.
Strong Python and SQL skills, with knowledge of data structures, performance, and optimization.
Experience with orchestration tools such as Airflow, Dagster, or Databricks Workflows and distributed processing in a cloud environment.
Experience with analytical data modeling, data warehouses, ETL/ELT patterns, dimensional concepts, and incremental ingestion from databases and APIs.
Experience with at least one major cloud provider: GCP, AWS, or Azure.
Familiarity with CI/CD, Terraform, DataOps, troubleshooting across infrastructure and deployments, and cross-functional communication.
Nice to have
Strong GCP ecosystem experience, including BigQuery, Composer, Dataproc, Cloud Run, Dataplex, and Cloud Storage.
Experience with data governance, observability, metrics, alerting, data quality checks, and incident response.
Knowledge of model monitoring, including drift, data quality, performance degradation, bias checks, and alerting strategies.
Culture & Benefits
International team working in a high-tech environment.
Compensation package.
Access to hirify.global Academy and LinkedIn Learning courses.
Referral bonus, teambuilding, and multinational social activities.
Hiring process
Submit an application form and CV in English.
Applications are reviewed confidentially in line with GDPR; only shortlisted candidates are contacted.
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