Data Engineer 2

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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.   

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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 Data Engineer P2 who is a self-starter to work in a diverse and fast-paced environment as part of our Capital Markets Data Engineering 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:

Technical Development

• Design and implement robust, scalable data pipelines using Databricks, Apache Spark, and Delta Lake as well as BigQuery
• 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
• Document data infrastructure, data pipelines, and ETL processes, ensuring knowledge transfer and smooth handovers
• Create automated tests and integrate them into testing frameworks​

Platform Engineering

• Configure and optimize Databricks workspaces, clusters, and job scheduling
• Work in a Multi-cloud environment including Azure, GCP and AWS
• Implement security best practices including access controls, encryption, and audit logging
• Build integrations with market data vendors, trading systems, and risk management platforms
• Establish monitoring and performance tuning for data pipeline health and efficiency

Collaboration & Mentorship

• Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet their needs

Requirements:

Education & Experience:

• Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's degree preferred)
• Minimum 3-5 years of experience in data engineering or full-stack development, with a focus on cloud-based environments

Technical Skills:

• Strong 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
• Strong database/backend testing with the ability to write complex SQL queries for data validation and integrity
• 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., Google BigQuery, Snowflake)
• Experience with cloud platforms such as Microsoft Azure, or Google Cloud Platform (GCP)
• Experience working in DevOps model
• Experience with Unit, Functional, Integration, User Acceptance, System, and Security testing of data pipelines

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:

Remote –Madrid, ESP

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.

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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.