2 months ago
Remote, Poland or Warsaw, PolandSenior

Responsibilities

  • Design, develop, and maintain data pipelines for data ingestion, transformation, and loading.
  • Build efficient and scalable data processing and transformation workflows.
  • Optimize pipelines for performance, reliability, and fault tolerance.
  • Develop and maintain data quality checks and monitoring mechanisms.
  • Support and maintain the data platform.
  • Collaborate with internal developers, data architects, data analysts, and business stakeholders.
  • Act as a subject matter expert and provide support to more junior colleagues.

Requirements

  • Bachelor’s degree in a relevant field such as technology or computer science.
  • 5+ years of experience as a data engineer or in a similar data-focused technical role.
  • Working experience with Spark, Airflow, Kubernetes, Azure Storage, and Linux.
  • Strong Python and SQL skills.
  • Preferred: master’s degree in computer science, data science, or a related technical field.

Benefits

  • Remote work arrangement based in Warsaw, Poland.
  • JLL is an equal opportunity employer and provides reasonable accommodations for individuals with disabilities.

Tech Stack

Categories

Data Engineering
Jones Lang LaSalle Incorporated

About Jones Lang LaSalle Incorporated

10,000+ employees

JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).

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