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Our people at JLL and JLL Technologies 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.
Senior Data Engineer
(Location: Poland)
Role:
JLL Technologies is a tech-focused division of Jones Lang LaSalle, a world leader in real estate services and a Fortune 500 company.
We are seeking a talented professional to join us as a Senior Data Engineer to develop and deliver data insights and solutions through your technical and business expertise.
If this job description resonates with you, do not hesitate to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table! We know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and thrive together.
Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and store large volumes of data from various sources.
- Optimize data storage, retrieval, and processing mechanisms for performance, reliability, and cost-efficiency.
- Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
- Design and deploy monitoring systems to proactively identify data pipeline failures and anomalies before they impact business operations
- Partner closely with the BI team to ensure seamless integration between data pipelines and BI tools, resulting in high-quality, reliable dashboards and optimized data sources that deliver actionable business insights
- Troubleshoot data quality issues, performance bottlenecks, and system failures in production environments.
- Implement best practices for knowledge transfer and documentation to achieve internal consistency and long-term scalability
- Mentor and support junior analysts by demonstrating best practices and a commitment to continuous learning and improvement
Minimum Requirements:
- Bachelor’s Degree in Computer Science, Engineering, Math, Statistics or other related field
- 5+ years of professional experience in data engineering
- Proficiency in SQL (any dialect) is required, while familiarity with Python is considered advantageous
- Solution-oriented mindset with the ability to meet deadlines in a fast paced and high pressure environment
- Strong communications skills and can communicate business concepts and data findings to both technical and non-technical audiences effectively
- Excellent attention to detail, exhibiting the highest standards of professional integrity and work ethic
- F luency in English to collaborate with a global team
- Experience and comfort working remotely, with the ability to thrive under minimal supervision
Preferred Qualifications:
- Corporate Real Estate knowledge
- Familiarity with Databricks Track record of making business impact by mining and extracting value from large and disconnected datasets
Location:
On-site –Warsaw, POLIf 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!
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