enpl

Lead Data Engineer | Remote | #1515

  • Type of contract: contract of employment (UoP)
  • Salary ranges: up to 24,000 PLN gross, month
  • Working model: 100% remote

 

Join our client, one of the leading logistics and transport solutions providers.

 

About the role:
We’re looking for a Lead Data Engineer who excels not only at coding but, more importantly, at shaping and guiding data architecture. This role is a mix of technical, architectural, and communication responsibilities, requiring someone who can bridge the gap between business and engineering teams.

Responsibilities:

  • Understanding in depth both the business and technical problems that the company aims to solve – building tools, platforms, and pipelines to enable teams to clearly and cleanly analyze data, build models, and drive decisions;
  • Scaling up from “laptop-scale” to “cluster-scale” problems, in terms of both infrastructure and problem structure and technique;
  • Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines;
  • Codifying best practices for future reuse in the form of accessible, reusable patterns,
    templates, and code bases;
  • Interacting with senior technologists from the broader enterprise and outside of the company
    (partner ecosystems and customers) to create synergies

Required minimum experience:

  • 5+ years equivalent work experience in an information technology or engineering environment
  • Extensive knowledge in data engineering and machine learning frameworks, including design, development, and implementation of highly complex systems and data pipelines.
  • Extensive knowledge in Information Systems, including design, development, and implementation of large batch or online transaction-based systems
  • Strong understanding of the transportation industry, competitors, and evolving technologies
  • Experience providing leadership in a general planning or consulting setting.
  • Experience as a leader or a senior member of multi-function project teams.
  • Strong oral and written communication skills, both in Polish and English
  • A related advanced degree may offset the related experience requirements.

Requirements:

  • Technical Background: Strong foundation in computer science, software engineering, database systems, and distributed systems.
  • Cloud & Distributed Systems: Deep understanding of cloud-based architectures and trade-offs in distributed environments.
  • Azure Expertise: In-depth experience with Microsoft Azure tools for large-scale data engineering and deployment.
  • Scalable Systems: Proven success designing and deploying robust, complex production systems using modern data science methods.
  • Streaming & Ingestion:
    • Hands-on experience with Kafka and Structured Streaming
    • Skilled in Azure Event Hubs for real-time data ingestion
  • Big Data & Analytics:
    • Advanced use of Spark (both PySpark and Scala)
    • Strong proficiency with Databricks for distributed data processing
  • Programming & Data Tools:
    • Proficient in Python data stack, Java
    • Experience with SQL and NoSQL systems
  • Infrastructure & DevOps:
    • Strong experience with Kubernetes for orchestration
    • Practical knowledge of Terraform and Infrastructure as Code (IaC)
    • Familiarity with CI/CD, agile, and DevOps practices
  • Problem Solving & Leadership:
    • Able to support distributed teams, unblock complex issues, and guide less senior engineers
    • Comfortable with context switching and working on evolving problem definitions
    • Delivery-focused under tight timelines, with an engineering mindset to maximize impact
  • Collaboration & Code Quality:
    • Experienced in working with distributed teams
    • Skilled in using version control systems and conducting thorough code reviews
  • Data Quality & Lineage:
    • Capable of performing data investigations, lineage studies, and improving data accessibility and integrity

The offer:

  • Benefits like life insurance, sports card, and private healthcare
  • Nice equipment: a powerful notebook and additional devices you need
  • Development budget
  • Remote work (with the possibility to visit the office)

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