Senior Data Engineer (Contractor)

Location: Greece, fully remote

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.
• Develop scalable data architecture and deliver curated, analysis-ready datasets for analysts and data scientists.
• Implement data quality, testing, monitoring, lineage, reliability, access control, auditability, and governance practices.
• Optimize Spark jobs, queries, partitioning strategies, workflows, performance, cost, and scalability.
• Build and maintain MLOps automation, including CI/CD for machine learning, environment management, artifact handling, and versioning.
• Contribute to documentation, engineering standards, and continuous improvement of the data platform.

Requirements

• 6+ years of experience as a Data Engineer building and maintaining production-grade pipelines and datasets.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Strong Python and SQL skills, including data structures, performance, and optimization strategies.
• Experience with orchestration tools such as Airflow, Dagster, or Databricks Workflows, distributed processing, cloud environments, analytical data modeling, DWH, and ETL/ELT patterns.
• Experience building incremental ingestion pipelines from databases and APIs, with familiarity in a major cloud provider such as GCP, AWS, or Azure.
• Experience with CI/CD, Terraform or other IaC, DataOps, troubleshooting, and collaboration with engineering, analytics, and business stakeholders.

Nice to have

• Strong GCP ecosystem experience, including BigQuery, Composer, Dataproc, Cloud Run, Dataplex, or Cloud Storage.
• Experience with data governance, access control, retention, classification, auditability, and compliance standards.
• Experience building observability for data systems, including metrics, alerting, data quality checks, and incident response.
• Knowledge of model monitoring concepts such as drift, data quality issues, performance degradation, bias checks, and alerting strategies.

Culture & Benefits

• Work with an international team in a high-tech environment.
• Access to hirify.global Academy and LinkedIn Learning courses.
• Compensation package and referral bonus.
• Team-building, social activities, and multinational networking opportunities.