Senior Data Engineer

Jones Lang LaSalle Incorporated; Guadalajara; Vor Ort; MXN 1.100.000 - 1.500.000; Vollzeit

Zusammenfassung

Jones Lang LaSalle Incorporated (JLL) is seeking a Senior Data Engineer to design and implement scalable, cloud-based data infrastructure. In this global role, you will partner with the Enterprise Data team across country, regional, and global levels to deliver robust data pipelines and data quality controls.

You will work with Python, SQL, PySpark, and Databricks, exploring data sources, building ingestion architectures, and ensuring reliable data flows into lakes and warehouses.

Qualifikationen

• Bachelor’s degree in Computer Science, Data Engineering, or a related field (Master’s degree preferred)
• Minimum 5+ years of experience in data engineering or full-stack development, with a focus on cloud-based environments
• Strong Databricks experience
• Advanced database/backend testing with complex SQL queries for data validation

Aufgaben

• Design, develop, and maintain scalable cloud-based data infrastructure using SQL and PySpark
• Collaborate with cross-functional teams to understand data requirements and ingestion architecture
• Design and implement efficient data pipelines for data lakes and warehouses
• Troubleshoot data processing and pipeline performance issues
• Stay updated with emerging data engineering technologies and best practices
• Collaborate with data scientists and analysts to deliver data solutions
• Document data infrastructure and ETL processes for knowledge transfer
• Create automated tests and integrate into testing frameworks

Kenntnisse

Python

SQL

PySpark

Databricks

REST

CI/CD

Cloud platforms

Data testing

Ausbildung

Bachelor’s degree in Computer Science or related

Master’s degree preferred

Tools

AWS

Azure

GCP

Snowflake

Redshift

GitHub

Jobbeschreibung

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 peopleand 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 Job Description

About JLL Technologies (JLLT)

• JLL Technologies is a specialized group within JLL that delivers unparalleled digital advisory, implementation, and services solutions to organizations globally
• We provide best-in-class technologies to bring digital ambitions to life by aligning technology, people, and processes
• Our goal is to leverage technology to increase the value and liquidity of the world’s buildings while enhancing the productivity and happiness of those who occupy them

What the Job Involves

• We are seeking a Senior Data Engineer who is a self-starter to work in a diverse and fast-paced environment as part of our Enterprise Data team
• This individual contributor role is responsible for designing and developing data solutions that are strategic to the business and built on the latest technologies and patterns
• This is 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

Responsibilities

• Design, develop, and maintain scalable and efficient cloud-based data infrastructure using SQL and PySpark
• Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion architecture
• Design and implement efficient data pipeline frameworks, ensuring the smooth flow of data from various sources to data lakes, data warehouses, and analytical platforms
• Troubleshoot and resolve issues related to data processing, data quality, and data pipeline performance
• Stay updated with emerging technologies, tools, and best practices in cloud data engineering, SQL, and PySpark
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet their needs
• Document data infrastructure, data pipelines, and ETL processes, ensuring knowledge transfer and smooth handovers
• Create complex automated tests and integrate them into testing frameworks

Requirements

Education & Experience

• Bachelor’s degree in Computer Science, Data Engineering, or a related field (Master’s degree preferred)
• Minimum 5+ years of experience in data engineering or full-stack development, with a focus on cloud-based environments

Technical Skills

• Advanced expertise in managing big data technologies (Python, SQL, PySpark, Spark) with a proven track record of working on large-scale data projects
• Strong Databricks experience
• Advanced database/backend testing with the ability to write complex SQL queries for data validation and integrity
• Strong streaming and real-time API/service validation including automation
• Experience with automated web services (WSDL) and microservices (REST) using custom scripts and assertions for data validation and data-driven testing
• Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Proficiency in object-oriented programming and software design patterns
• Experience working in DevOps model, including installing, configuring, and integrating automation scripts on continuous integration tools (CI/CD) and GitHub for real-time test suite execution and troubleshooting
• Experience with Unit, Functional, Integration, User Acceptance, System, and Security testing of data pipelines
• Strong experience in designing and implementing data pipelines, ETL processes, and workflow automation
• Familiarity with data warehousing concepts, dimensional modeling, data governance best practices, and cloud-based data warehousing platforms (e.g., AWS Redshift, Google BigQuery, Snowflake)
• Familiarity with cutting-edge AI technologies and demonstrated ability to rapidly learn and adapt to emerging concepts and frameworks

Core Competencies

• 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 commitment to delivering high-quality, reliable data solutions
• Ability to adapt to evolving technologies and work effectively in a fast-paced, dynamic environment

Location

On-site –Jalisco,MEX

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 [e-mail]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page

Jones Lang LaSalle (“JLL”) está comprometida a trabajar con personas con discapacidades y proporcionarles accesibilidad. Si necesita un ajuste razonable para cualquier parte del proceso de empleo – incluyendo la candidatura en línea y/o el proceso general de selección – puede enviarnos un correo electrónico a [e-mail]. Este correo electrónico es solo para solicitar un ajuste razonable. Por favor, dirija cualquier otra consulta general de reclutamiento a nuestra página Contáctanos