Cloud Data Pipelines Engineer

Link Group • Blockchain & Crypto • Cybersecurity • Python • SQL • Azure Data Factory • 1 day ago
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Salary
≈ $61k – $102k per year (Estimated)
Location
In office (Poland)

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 9, 2026. Link Group scores A on the Alion truth index.

Overview
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Link Group

Link Group is a Polish technology services company founded in Warsaw in 2016 that builds and supplies engineering teams to clients across Europe. Its model combines body leasing and managed teams with delivery of complete software, cloud and cybersecurity projects, drawing on a large bench of contractors rather than a fixed permanent staff. The company works heavily in financial services, telecommunications and public sector projects, and has built a specialisation in blockchain and distributed ledger engineering alongside more conventional cloud and application development work.
linkgroup.co • HQ: Warsaw, Poland • Blockchain & Crypto • Information Technology • Cybersecurity • Managed IT Services (MSP) • IT Outsourcing & Dedicated Teams • IT Staffing & Staff Augmentation • 1001-5000 employees • Est. 2016

Key Responsibilities

  • R/Python Workload Execution: Containerize, deploy, and orchestrate custom R and Python scripts to run reliably in cloud-native serverless or containerized environments.
  • Cloud Integration: Leverage managed cloud services on GCP (Cloud Functions, Cloud Run, BigQuery, Dataflow) or Azure (Azure Data Factory, Azure Functions, Databricks, Synapse Analytics).
  • Workflow Orchestration: Implement and maintain workflow automation tools (such as Apache Airflow or Prefect) to schedule and monitor script execution.
  • Data Quality & Reliability: Implement automated logging, error handling, and testing frameworks to validate data integrity and script outputs.
  • Performance Optimization: Tune data processing jobs and cloud resource allocation for cost-efficiency, execution speed, and scalability.

Requirements

  • Programming: Advanced proficiency in Python and/or R, with strong experience writing clean, modular, and well-tested code.
  • Cloud Platforms: Hands-on production experience with either Google Cloud Platform (GCP) or Microsoft Azure.
  • Containerization & CI/CD: Practical experience with Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, GitLab CI).
  • Data Stores: Proficiency with SQL and relational/non-relational data warehouses (PostgreSQL, BigQuery, Snowflake, or Azure SQL).
  • Software Engineering Foundations: Solid grasp of version control (Git), automated testing practices, and API design principles.
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