CrawlJobs Logo
JLL Logo JLL · IT - Software Development

Senior Data Engineer

Mexico, Jalisco · Job Posted February 21, 2026
Apply Position
Job Link Share

Job Description

Senior Data Engineer P3 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 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.

Job Responsibility

  • 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
  • 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
  • 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

  • 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
  • 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 experience in designing and implementing data pipelines, ETL processes, and workflow automation
  • Experience 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
  • Proficiency in object-oriented programming and software design patterns
  • Familiarity with cutting-edge AI technologies and demonstrated ability to rapidly learn and adapt to emerging concepts and frameworks
  • 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
JLL - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior Data Engineer

8 matching positions

Senior Data Engineer

As a Senior Data Engineer at Mozilla, you will be a key member of our Data Engin...
Location
Location
Canada; United States
Salary
Salary:
Not provided
mozilla.org Logo
Mozilla
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At a minimum, 4 years of professional experience in data engineering
  • Proficiency in SQL and Python, and an eagerness to integrate AI into data engineering workflows to help us scale
  • Experience mapping complex business processes into extensible, analytical data models
  • Strong software engineering fundamentals
  • Self directed execution
  • Collaborative spirit
  • A track record of recommending and implementing new data collection methods to improve data model quality
  • You have used data to answer specific questions and guide company decisions
  • You have experience with cloud distributed systems (we use GCP) including distributed databases, message queues or batch / stream processing
  • You ensure data is safe to depend on through smart orchestration, error handling, and idempotency
Job Responsibility
Job Responsibility
  • Build the pipes: Build and manage business data pipelines as well as transform Firefox telemetry data into structured high quality datasets
  • Make data make sense: Partner with data scientists, product, and marketing teams to turn complex datasets into the models and metrics that drive Mozilla's decisions
  • Be a guardian of data quality: Ensure datasets stay accurate and performant by using observability tools to monitor quality and joining a weekly triage rotation to resolve data issues
  • Evolve our platform: Partner with other data engineers and platform engineers to improve how we work
  • Maintain data integrity: Ensure data governance and privacy policies are implemented and enforced across the tens of terabytes of data flowing through systems daily
What we offer
What we offer
  • Generous performance-based bonus plans
  • Rich medical, dental, and vision coverage
  • Generous retirement contributions with 100% immediate vesting
  • Quarterly all-company wellness days
  • Country specific holidays plus a day off for your birthday
  • One-time home office stipend
  • Annual professional development budget
  • Quarterly well-being stipend
  • Considerable paid parental leave
  • Employee referral bonus program
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

This role is categorized as hybrid. This means the successful candidate is expec...
Location
Location
United States , Austin; Warren
Salary
Salary:
153000.00 - 227000.00 USD / Year
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience
  • 7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage. (ETL frameworks, big data processing, NoSQL)
  • 3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes)
  • Proficiency in data streaming in Kubernetes and Kafka
  • Experience with cloud platforms – Azure preferred
  • AWS or GCP also considered
  • Solid understanding of CI/CD principles and tools
  • Familiarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (ADLS/S3), Event Queues
  • Strong understanding of performance optimization techniques such as partitioning, clustering, and caching
  • Proficiency with SQL, key-value datastores, and document stores
Job Responsibility
Job Responsibility
  • Assemble large, complex data sets that meet functional and non-functional business requirements
  • Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability
  • Lead and deliver data-driven solutions across multiple languages, tools, and technologies
  • Contribute to architecture discussions, solution design, and strategic technology adoption
  • Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code
  • Design and develop new source system integrations from varied formats (files, database extracts, APIs)
  • Design and implement solutions for delivering data that meets SLA requirements
  • Work with operations teams to resolve production issues related to the platform
  • Apply best practices such as Agile methodologies, design thinking, and continuous deployment
  • Develop tooling and automation to make deployments and production monitoring more repeatable
What we offer
What we offer
  • Health and wellbeing benefit programs
  • Medical
  • Dental
  • Vision
  • Health Savings Account
  • Flexible Spending Accounts
  • Retirement savings plan
  • Sickness and accident benefits
  • Life insurance
  • Paid vacation & holidays
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

We are seeking an experienced Senior Data Engineer to design, build, and optimiz...
Location
Location
Sri Lanka
Salary
Salary:
Not provided
Creative Software
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3-5 years of experience in Data Engineering or related fields
  • Strong expertise in SQL and at least one programming language (Python, Scala, or Java)
  • Hands-on experience with Azure data services such as Data Factory, Synapse, Databricks, Azure SQL, and Storage
  • Experience with on-premise data platforms, especially SQL Server and SSIS
  • Strong Power BI skills, including: Designing efficient data models (star schema, proper relationships), Writing optimized DAX measures, Applying best practices for performance, data loading, and semantic modeling, Supporting BI teams with dataset design and dashboard optimization
  • Solid experience building and maintaining ETL/ELT pipelines
  • Good understanding of data warehousing concepts, data governance, and data quality frameworks
  • Experience with version control and structured development workflows (Git, CI/CD)
  • Strong communication and ability to work with both technical and business teams
  • Excellent analytical and problem-solving abilities
Job Responsibility
Job Responsibility
  • Build and Manage Data Pipelines
  • Design Data Models & Warehouses
  • Optimize Existing Data Solutions
  • Work Across Cloud and On-Prem Platforms
  • Support BI & Visualization Teams
  • Lead and Collaborate
  • Leverage Multi-Platform Experience
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

This role is categorized as hybrid. This means the successful candidate is expec...
Location
Location
United States , Austin, Texas; Warren, Michigan
Salary
Salary:
138700.00 - 175450.00 USD / Year
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent experience
  • 5+ years of relevant full-time experience
  • or equivalent knowledge
  • Strong experience in data engineering, including pipeline development, data modeling, data integration, and production support for enterprise data platforms
  • Data engineering experience, including Python or Scala, SQL, and relational/non-relational data storage (ETL frameworks, big data processing, NoSQL)
  • Experience with cloud platforms – Azure preferred
  • AWS or GCP also considered
  • Proficiency with SQL, key-value datastores, and document stores
  • Design, build, and optimize scalable batch and streaming data pipelines using Databricks (Apache Spark, Delta Lake) to support Medallion Architecture
  • Experience with modern cloud data platforms, distributed processing, and production-grade data pipelines
Job Responsibility
Job Responsibility
  • Design, build, and productionize reliable, scalable, and secure data pipelines and data products in Azure Databricks that support AI, analytics, and operational use cases
  • Lead the transformation of raw data from multiple source systems into trusted, well-structured datasets suitable for downstream analytics, model development, and AI enablement
  • Drive improvements in internal processes, delivery patterns, and technical solutions that support broader functional strategy and increase team efficiency
  • Solve complex and non-standard data engineering problems using advanced analytical and problem-solving techniques, with strong ownership and sound technical judgment
  • Partner closely with data scientists, analysts, software engineers, product stakeholders, and business teams to ensure data is accessible, trustworthy, and aligned to business outcomes
  • Support AI and data science use cases by enabling high-quality feature-ready data, experimentation workflows, and scalable patterns for model development and deployment
  • Contribute to technical direction within the team, influence key engineering decisions in their area, and act as a go-to resource for peers and less experienced engineers
  • Mentor team members through technical guidance, knowledge sharing, and strong engineering practices consistent with Level 7 expectations
What we offer
What we offer
  • Relocation benefits
  • medical
  • dental
  • vision
  • Health Savings Account
  • Flexible Spending Accounts
  • retirement savings plan
  • sickness and accident benefits
  • life insurance
  • paid vacation & holidays
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

The Data, Analytics and Reporting Technology team is responsible for a cross-cut...
Location
Location
United States , San Francisco; Charlotte
Salary
Salary:
100000.00 - 196000.00 USD / Year
https://www.wellsfargo.com/ Logo
Wells Fargo
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 4+ years of experience creating analytics or data science solutions in Public Cloud (GCP, AWS, Azure)
  • 4+ years of hands on experience of Python and/or Go for building data pipelines, libraries, and automation tooling
  • 4+ years with GCP or equivalent open source orchestration tools (Composer/Airflow/Dataflow/Beam) and CI/CD (Git, Liquibase, ) for data workloads
  • 2+ years of hands-on experience building and implementing predictive AI models using machine learning algorithms (e.g., regression, classification, forecasting).
Job Responsibility
Job Responsibility
  • Develop scalable, secure data pipelines from on-premise systems of record to Google Cloud Platform services (BigQuery, BigTable, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer)
  • Leverage and extend capability roadmaps for reusable frameworks and tooling (ingestion, transformation, quality, orchestration) actively being developed by the larger organization
  • Enable self‑service data consumption and governance by standardizing patterns, templates, and sandbox capabilities rather than one‑off pipelines
  • Support use cases for training, validation and monitoring leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage
  • Create standardized feature transformation pipelines and a common feature store with strong lineage, dictionary and high availability for models
  • Ensure appropriate cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies)
  • Develop transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines)
  • Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration
  • Implement robust data modeling (dimensional, data vault, or canonical models) and semantic layer implementations with BigQuery or similar tools
  • Enforce data quality, lineage, and observability using standardized metrics, validation rules, and monitoring dashboards
What we offer
What we offer
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

We are looking for an experienced Senior Data Engineer to design, build, and opt...
Location
Location
Bulgaria , Sofia
Salary
Salary:
Not provided
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with Apache Spark and Delta Lake
  • Strong programming skills in Python and SQL
  • Proven experience building batch and streaming data pipelines and production-grade data platforms
  • Solid understanding of data modeling, data quality, and governance principles
  • Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP
  • Familiarity with modern data platforms such as Databricks and Snowflake
  • Experience with lakehouse architectures and distributed data systems
  • Strong understanding of scalability, reliability, and performance considerations in data pipelines
  • Strong problem-solving skills focused on scalability and reliability
  • Collaborative approach to working in cross-functional teams
Job Responsibility
Job Responsibility
  • Design and implement scalable data platforms and pipelines across cloud environments using technologies such as Spark and Delta Lake
  • Build ingestion, transformation, and curation workflows for both structured and unstructured data
  • Implement modern data architectures including lakehouse patterns and medallion layering
  • Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems
  • Enable data pipelines for GenAI use cases including LLMs, RAG pipelines, and vector-based data flows
  • Design scalable logical and physical data models for analytical and operational use cases
  • Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents
  • Apply modern architecture patterns including event-driven and streaming architectures
  • Ensure adherence to best practices in data governance, lineage, quality, and access control
  • Establish strong data observability
What we offer
What we offer
  • Flexibility with hybrid work options and 25 vacation days
  • Co-subsidized transportation & Multisport cards
  • Premium health insurance
  • Training policy for technical and other skills-related events, courses and certifications
  • Personal career development roadmap guided by performance evaluations
  • Self-care program offering psychological consultations & discussions
  • Cozy office space
  • Exciting team events and company gatherings
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

We are looking for an experienced Senior Data Engineer to design, build, and opt...
Location
Location
Portugal , Lisbon
Salary
Salary:
Not provided
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with Apache Spark and Delta Lake
  • Strong programming skills in Python and SQL
  • Proven experience building batch and streaming data pipelines and production-grade data platforms
  • Solid understanding of data modeling, data quality, and governance principles
  • Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP
  • Familiarity with modern data platforms such as Databricks and Snowflake
  • Experience with lakehouse architectures and distributed data systems
  • Strong understanding of scalability, reliability, and performance considerations in data pipelines
  • Strong problem-solving skills focused on scalability and reliability
  • Collaborative approach to working in cross-functional teams
Job Responsibility
Job Responsibility
  • Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake)
  • Develop reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake
  • Build ingestion, transformation, and curation workflows for both structured and unstructured data
  • Implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold)
  • Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems
  • Enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows
  • Design scalable logical and physical data models for analytical and operational use cases
  • Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents
  • Apply modern architecture patterns including event-driven and streaming architectures
  • Ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC)
What we offer
What we offer
  • Flexibility, with remote and hybrid work options (country-dependent)
  • Career advancement, with international mobility and professional development programs
  • Learning and development, with access to cutting-edge tools, training and industry experts
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

We are looking for an experienced Senior Data Engineer to design, build, and opt...
Location
Location
North Macedonia
Salary
Salary:
Not provided
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Strong problem-solving skills focused on scalability and reliability, with a collaborative approach to working in cross-functional teams.
Job Responsibility
Job Responsibility
  • Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake)
  • develop reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake
  • implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold)
  • deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems
  • enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows)
  • design scalable logical and physical data models for analytical and operational use cases
  • orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents
  • apply modern architecture patterns including event-driven and streaming architectures
  • ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC)
  • establish strong data observability
What we offer
What we offer
  • Private health insurance
  • Education program
  • Wellbeing program
  • Free beverages
  • Events
  • Competitive conditions
  • Challenging projects
  • Cool colleagues
  • Honest feedback
Read More
Arrow Right