Senior Data Engineer

JLL empowers you to shape a brighter way.  

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

Job Summary: 

The Senior Data Engineer is responsible for designing, building and maintaining the data infrastructure, pipelines, and architectures that support the organization's data-driven initiatives. This highly technical role requires a deep understanding of data management principles, programming languages, and analytical techniques to develop efficient, scalable, and reliable data systems. The Data Engineer collaborates closely with data architects, data analysts, and business stakeholders to translate data requirements into robust, production-ready solutions that enable data-driven decision-making across the organization. 

Key Responsibilities: 

• Design, develop, and maintain data pipelines for ingesting, transforming, and loading data from various sources into target data stores. 
• Implement efficient and scalable data processing and transformation workflows using tools and technologies. 
• Optimize data pipelines for performance, reliability, and fault tolerance, ensuring seamless data delivery to downstream consumers. 
• Develop and maintain data quality checks and monitoring mechanisms to ensure the integrity and accuracy of data. 
• Data Platform support and maintenance
• Collaboration with internal developers and stakeholders
• Acting as an subject matter expert and providing support to more junior colleagues

Required Qualifications: 

• 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 our technologies: Spark, Airflow, Kubernetes, Azure Storage, Linux
• Strong Python and SQL skills

Preferred Qualifications: 

• Master's degree in computer science, data science, or a related technical field 
• Acting as an subject matter expert and providing support to more junior colleagues
  

Note: This job description is intended to convey information essential to understanding the scope of the position. It is not intended to be an exhaustive list of qualifications, skills, duties, or responsibilities associated with the role.

Location:

Remote –Warsaw, POL

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

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Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process –  you may email us at [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.