Senior Data Engineer – Contractor

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

📋 Description

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

• Ensure that high-quality data is accessible, reliable, and prepared for analytics and data science applications.

• Create and sustain data pipelines for ingestion, transformation, and export across various sources and destinations.

• Develop and advance scalable data architecture to fulfill business needs and performance objectives.

• 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, implementing partitioning strategies).

• Ensure secure data management and adherence to applicable data protection regulations and internal policies.

• Contribute to documentation, standards, and continuous enhancement 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 machine learning, environment management, artifact handling, and versioning of data/models/code.

⛳️ Requirements

• 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 with a robust understanding 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 (including star and snowflake schemas), data warehousing, ETL/ELT patterns, and dimensional concepts.

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

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

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

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

• A collaborative approach with clear communication among engineering, analytics, and business stakeholders.

🏝️ Benefits

• Excellent compensation package.

• myPOS Academy for professional development and training.

• Unlimited access to courses on LinkedIn Learning.

• Refer a friend bonus, as we recognize that working with friends is enjoyable.

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