Senior Data Engineer – Contractor

This is a fully remote position, open to applicants in Greece.

📋 Description

• Design, develop, and manage scalable and dependable data pipelines and infrastructure.

• Create and sustain ingestion, transformation, and export pipelines across a variety of sources and destinations.

• Advance and enhance scalable data architecture.

• Collaborate with analysts and data scientists to provide curated, analysis-ready datasets and facilitate self-service analytics.

• Implement best practices for data quality, testing, monitoring, lineage, and reliability.

• Optimize workflows for performance, cost-efficiency, and scalability, including Spark jobs, queries, and partitioning strategies.

• Ensure secure and compliant data management, focusing on access controls, auditability, and governance.

• Contribute to the documentation, standards, and continuous enhancement of the data platform and engineering workflows.

• Develop and maintain MLOps automation for ML CI/CD, environments, artifacts, and versioning of data, models, and code.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.

• Over 6 years of experience as a Data Engineer, focusing on building and maintaining production-grade pipelines and datasets.

• Proficient in Python and SQL.

• Understanding of data structures, performance, and optimization techniques.

• Practical experience with orchestration tools such as Airflow, Dagster, or Databricks Workflows.

• Experience with distributed processing in a cloud environment.

• Background in analytical data modeling, including star and snowflake schemas, data warehouses, ETL/ELT patterns, and dimensional concepts.

• Proven experience building reliable incremental data ingestion pipelines from databases and APIs.

• Familiarity with at least one major cloud provider: GCP, AWS, or Azure.

• Knowledge of CI/CD for data pipelines, Terraform/IaC, and/or DataOps practices.

• Capability to troubleshoot issues across data, infrastructure, pipelines, and deployments.

• Effective communication skills with engineering, analytics, and business stakeholders.

• English CV is required.

🏝️ Benefits

• Attractive compensation package.

• Access to myPOS Academy for skill enhancement and training.

• Unlimited enrollment in courses on LinkedIn Learning.

• Referral bonus for recommending a friend.

• Opportunities for team building, social activities, and networking on a multi-national scale.