Data Engineer 2

Data Engineer

Find your next move at JLL and build a fulfilling career 

At JLL, we value what makes you unique, and we’re committed to giving you the opportunity, knowledge, and tools to own your success. Explore opportunities to advance your career from within, whether you’re looking to move up, broaden your experience or deepen your expertise. 

JLL Technologies Enterprise Data team is a newly established central organization that oversees JLL’s data strategy. We are seeking data professionals to work with our colleagues at JLL around the globe in providing solutions, developing new products, and building enterprise reporting & analytics capability to reshape the business of Commercial Real Estate using the power of data, and we are just getting started on that journey!.

We are looking for a Data Engineer who is a self-starter to work in a diverse and fast-paced environment and can join our Enterprise Data team. This is a role that is responsible for designing and developing data solutions that are strategic for the business and built on the latest technologies and patterns. This a global role that requires partnering with the broader JLLT team at the country, regional, and global levels by utilizing in-depth knowledge of data, infrastructure, technologies, and data engineering experience.

Sound like you? To apply you need to be: 

Requirements:

• Bachelor's degree in Computer Science, Data Engineering, or a related field. (A master's degree is a plus.)

• Minimum of 3 years of experience in data engineering or full-stack development, with a focus on cloud-based environments.

• Strong expertise in SQL and PySpark, with a proven track record of working on large-scale data projects.

• Experience with cloud platforms (any 1) such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).

• Experience in working with databases especially SQL server databases. 

• Experience handling unstructured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven by events/queues

• Proficiency in designing and implementing data pipelines, ETL processes, and workflow automation.

• Familiarity with data warehousing concepts, dimensional modelling, and data governance best practices.

• Strong problem-solving skills and ability to analyze complex data processing issues.

• Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.

• Attention to detail and a commitment to delivering high-quality, reliable data solutions.

• Ability to adapt to evolving technologies and work effectively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Experience with managing big data technologies (e.g., Spark, Python, Serverless Stack, API, etc.).

• Familiarity with cloud-based data warehousing platforms (e.g., AWS Redshift, Google BigQuery, Snowflake, etc.).

• Knowledge of data visualization tools (e.g., Tableau, Power BI) for creating meaningful data reports and dashboards is a plus.

What you can expect from us: 

You’ll join an entrepreneurial, inclusive culture. One where we succeed together – across the desk and around the globe. Where like-minded people work naturally together to achieve great things. 

Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay. 

Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sight and imagine where JLL can take you... 

Apply today! 

Location:

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!

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