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Data Engineer 2

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Develop systems that ingest, cleanse and normalize diverse datasets

  • Build data pipelines from internal and external sources, including cloud pipelines

  • Structure previously unstructured data in data lake environments

  • Design data management and persistence solutions using relational and non-relational databases

  • Help move the organization to a more robust target state data architecture

From the employer’s posting
Develop systems that ingest, cleanse and normalize diverse datasets
develop data pipelines from various internal and external sources
build structure for previously unstructured data
Develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases
to move the organization to a more sophisticated, agile and robust target state data architecture
People management
Individual contributor stated — people management source
JLL Technologies Enterprise Data team is an established central organization that oversees JLL’s data strategy. The Data Engineering professional will work with our colleagues at JLL around the globe in providing solutions, developing new products, 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! Data Engineer is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team. This is an individual contributor role that is responsible for developing of 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 level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience. As a Data Engineer 2 at JLL Technologies, you will:
Read the full posting
Education & alternatives
What we are looking for: · 3+ years’ overall work experience and Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. · Knowledge of using Python, Kafka, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc.

Tools in this posting

  • Python
  • SQL
  • Azure
  • Databricks
  • Kafka
  • Spark
  • SQL Server
Source — Tool mentions in context
· 3+ years’ overall work experience and Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. · Knowledge of using Python, Kafka, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc. · Knowledge of using AI tools like Cursor, Databricks Assistant, Claude is required and AI Agent development skills is plus.
· Knowledge of using Python, Kafka, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc. · Knowledge of using AI tools like Cursor, Databricks Assistant, Claude is required and AI Agent development skills is plus. · Hands-on Experience for building Data Pipelines in Cloud.

About Jones Lang LaSalle

At JLL Technologies, our mission is to bring technology innovation to commercial real estate.

In the employer’s words · Read in context

Posting record

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Likely evergreenReposted 2 times since Sep 7, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.

Status in our records
Live
First seen by us
Oct 23, 202613 days ago
Recorded sightings
24
Last seen by us
Nov 5, 2026
Reposted
2 times since Sep 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 13

Similar jobs usually come down between day 6 and day 54.

At Jones Lang LaSalle, jobs usually come down by about day 15.

From 11,032 similar postings that came down, and 230 of Jones Lang LaSalle’s. Coming down is not always a hire.

Jones Lang LaSalle is hiring

18 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down quickly
  • 17% of open jobs were reposted
Hiring record

Your next step

Check the employer’s posting for the current role and application details.

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Already applied? Track this application

Has Jones Lang LaSalle posted this job before?

Yes. We’ve followed 3 other Data Engineer 2 jobs there since May 2026. 2 came down, usually after about 10 days. One is still up.

  1. BengaluruCame down after 5 days, first seen May 9
  2. BengaluruStill up after 140 days, first seen Jun 18
  3. JaliscoCame down after 14 days, first seen Sep 30
  4. This jobUp 13 days so far, first seen Oct 23

Large employers often post one title for several teams, so these can be separate openings.

About Jones Lang LaSalle

People
About 100,000 in 2025, up 11% from the year before.Annual report (SEC Form 10-K)
Company
Listed as JLL.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 Description

Data Engineer 2

About JLL and JLL Technologies

JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people and our communities.

JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bring technology innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and the happiness of those that occupy them.

What this job involves

 JLL Technologies Enterprise Data team is an established central organization that oversees JLL’s data strategy. The Data Engineering professional will work with our colleagues at JLL around the globe in providing solutions, developing new products, 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!

Data Engineer is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team. This is an individual contributor role that is responsible for developing of 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 level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.

As a Data Engineer 2 at JLL Technologies, you will:

·       Contributes to the development of information infrastructure, and data management processes to move the organization to a more sophisticated, agile and robust target state data architecture

·       Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data

·       Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions

·       Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc

·       Develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities

What we are looking for:

·       3+ years’ overall work experience and Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.

·       Knowledge of using Python, Kafka, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc.

·       Knowledge of using AI tools like Cursor, Databricks Assistant, Claude is required and AI Agent development skills is plus.

·       Hands-on Experience for building Data Pipelines in Cloud.  

·       Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities.

·       Experience handling un-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven by events/queues will be an advantage

·       Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on project within a fast-paced environment working with cross functional teams

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 sights and imagine where JLL can take you...

Apply today!

Location:

On-site –Bengaluru, KA

Scheduled Weekly Hours:

40

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.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

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 HRSCLeaves@jll.com. 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.

Source details

View original posting ↗

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Pay

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Location & working pattern

Bengaluru, KA

Location: On-site –Bengaluru, KA Scheduled Weekly Hours:
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We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting