Senior Data Engineer – Contractor

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

📋 Description

• Design and maintain data pipelines for the ingestion, transformation, and export of data across various sources and destinations.

• Create and enhance scalable data architecture to fulfill business and performance specifications.

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

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

• Enhance workflows for performance, cost-efficiency, and scalability (e.g., tuning Spark jobs, optimizing queries, and implementing partitioning strategies).

• Guarantee secure data handling and adherence to relevant data protection standards and internal policies.

• Contribute to the documentation, standards, and ongoing improvement of the data platform and engineering processes.

• Ensure secure and compliant management of data and models, including access controls, auditability, and governance practices.

• Develop and maintain MLOps automation: CI/CD for ML, environment management, artifact management, and versioning of data/models/code.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

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

• Proficient in Python and SQL with a strong grasp of data structures, performance, and optimization techniques.

• Practical experience with orchestration tools (such as Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud setting.

• Knowledge of analytical data modeling (star and snowflake schemas), DWH, ETL/ELT practices, and dimensional concepts.

• Experience in building dependable incremental data ingestion pipelines from databases and APIs.

• Familiarity with at least one major cloud service provider (GCP, AWS, Azure) and deploying data solutions in the cloud.

• Understanding of CI/CD for data pipelines, Infrastructure as Code (Terraform), and/or DataOps methodologies.

• Strong troubleshooting skills: ability to identify and resolve issues involving data, infrastructure, pipelines, and deployments.

• A collaborative approach with effective communication skills across engineering, analytics, and business stakeholders.

🏝️ Benefits

• Competitive compensation package.

• myPOS Academy for skill enhancement and training opportunities.

• Unlimited access to courses on LinkedIn Learning.

• Referral bonus program because working with friends is enjoyable.

• Team-building activities, social events, and networking on a multinational level.