Data Engineer

JLL; Bristol; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading global provider of real estate services is seeking a Data Engineer to lead the development of scalable data pipelines and integrate diverse data sources into their innovative platform. The role involves consolidating key data to support informed decision-making and mentoring junior engineers. With a focus on collaboration and best practices, this position offers the chance to enhance platform performance and drive innovation. Experience and strong skills in Python, SQL, and related data technologies are essential.

Qualifications

• At least 2 years of experience in data engineering, data warehousing, or a related field.
• Strong experience with Apache Hive, S3, Hadoop, Redshift, and NoSQL.

Responsibilities

• Design and implement scalable, efficient, and robust data pipelines.
• Support and maintain the data platform to ensure reliability, security, and scalability.
• Mentor junior engineers and conduct code reviews to maintain quality standards.

Skills

Python

PySpark

SQL

Data modeling

Data warehousing

Education

STEM degree, preferably in Computer Science or Computing

Tools

Spark

Airflow

Data APIs and Semantic Layer: CubeJS

Job description

JLL empowers you to shape a brighter way.

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 youve got deep experience in commercial real estate skilled trades or technology or youre looking to apply your relevant experience to a new industry join our team as we help shape a brighter way forward.

Role summary

As a Data Engineer you will lead the development of scalable data pipelines and integration of diverse data sources into the JLL Asset Beacon platform.

Your work will focus on consolidating financial operational and leasing data into a unified platform that delivers accurate insights for commercial real estate asset management. Collaborating closely with internal developers and stakeholders you will gather requirements solve integration challenges and ensure seamless data flows to support informed decision-making.

In addition to technical responsibilities you will mentor junior engineers promote best practices in data engineering and maintain high-quality standards through code reviews. Leveraging tools like Spark Airflow Kubernetes and Azure you will enhance the platforms performance reliability and scalability. Your expertise in data ecosystems will play a critical role in driving innovation and enabling advanced data-driven solutions for the evolving needs of the real estate industry.

Company bio

JLL Asset Beacon is transforming commercial real estate asset management through data integration and innovation. Our SaaS platform consolidates and reconciles data across financial operational and leasing functions creating a single source of truth. By providing real-time end-to-end visibility into asset fund and portfolio performance we empower real estate professionals to make faster more informed decisions. With robust data visualization and reporting capabilities our platform simplifies complex data ecosystems enabling seamless collaboration and unlocking opportunities for value creation.

Responsibilities

• Design and implement scalable efficient and robust data pipelines
• Support and main the data platform to ensure reliability security and scalability.
• Collaborate with internal developers and stakeholders
• Work closely with internal developers and stakeholders to gather requirements deliver insights and align project goals.
• Mentorship and leadership
• Mentor junior engineers fostering their growth through knowledge sharing and guidance
• Conduct code reviews to maintain quality and consistency

Our Technologies

• Data Processing: Spark
• Workflow Orchestration: Airflow
• Data APIs and Semantic Layer: CubeJS

The Candidate

• Educational Background: A STEM degree preferably in Computer Science or Computing.
• Professional Experience: At least 2 years of experience in data engineering data warehousing or a related field.

Technical Proficiency

• Strong Python and PySpark experience
• SQL skills are essential
• Experience with data orchestration platforms or tools such as Airflow ADF or SSIS

Data Expertise

• Solid understanding of data modeling principles and data warehousing concepts.

Domain Knowledge

• Financial or real estate experience is advantageous but not required.

Location

On-site Bristol GBR

If this job description resonates with you we encourage you to apply even if you dont meet all the requirements. We're interested in getting to know you and what you bring to the table! If you require any changes to the application process please email or call 44(0) to contact one of our team members to discuss how to best support you throughout the process. Please note the contact details provided are to discuss or request for adjustments to be made to the hiring process. Please direct any other general recruiting inquiries to our Contact Us page. I want to work for JLL.

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Key Skills

Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type

Employment Type : Full-Time

Experience

Experience: years

Vacancy

Vacancy: 1