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Data Engineer (Contractor)

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myPOS

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Location:
Romania , Bucharest

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

As a Data Engineer, you’ll design, build, and operate scalable, reliable data pipelines and data infrastructure. Your work will ensure high-quality data is accessible, trusted, and ready for analytics and data science - powering business insights and decision-making across the company.

Job Responsibility:

  • Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
  • Develop and evolve scalable data architecture to meet business and performance requirements
  • Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
  • Implement best practices for data quality, testing, monitoring, lineage, and reliability
  • Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
  • Ensure secure data handling and compliance with relevant data protection standards and internal policies
  • Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
  • Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
  • Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
  • 3+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
  • Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies for ETL/ELT processes
  • Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
  • Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
  • Strong troubleshooting mindset
  • Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Nice to have:

  • Strong GCP experience and ecosystem knowledge: BigQuery, Composer, Dataproc, Cloud Run, Dataplex, Cloud Storage
  • Experience building reliable incremental data ingestion pipelines from DBs and APIs
  • Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
  • Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
  • Experience with data governance concepts: access control, retention, data classification, auditability, and compliance standards
  • Experience building observability for data systems (metrics, alerting, data quality checks, incident response)
  • Knowledge of model monitoring concepts: drift, data quality issues, performance degradation, bias checks, and alerting strategies
What we offer:
  • Vibrant international team operating in hi-tech environment
  • Excellent compensation package
  • myPOS Academy for upskilling and training
  • Unlimited access to courses on LinkedIn Learning
  • Refer a friend bonus
  • Teambuilding, social activities and networks on a multi-national level

Additional Information:

Job Posted:
May 16, 2026

Work Type:
Remote work
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