LP
Azure Databricks Developer-HR Platforms
LinkedIn Recruiter Post
Azure Databricks Developer needed for HR tech projects at a top financial client. Design ETL solutions, support data integrations, and modernize HR data platforms.
About the role
- Senior Data Engineer at JLL leveraging advanced technical expertise for AI-powered solutions. Designing frameworks and mentoring engineers to achieve strategic business outcomes.
Responsibilities
- Design and build advanced reusable and automated frameworks for enterprise-scale data processing and analytics
- Architect comprehensive data solutions integrating multiple Azure services, AI capabilities, and cloud technologies aligned with strategic business goals
- Lead complex technical problem-solving initiatives, root cause analysis, and strategic decision-making for critical data systems
- Mentor junior and intermediate data engineers on advanced concepts, best practices, and emerging technologies
- Collaborate with senior stakeholders to influence business requirements and align technical solutions with enterprise objectives
- Develop AI-powered solutions and automation frameworks that drive measurable business outcomes
- Champion data engineering best practices, standards, and innovation across the organization through thought leadership
Requirements
- Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline
- 5-8 years of experience in data engineering with proven track record of technical leadership and enterprise-scale solution delivery
- Expert Python programming skills including inheritance, reflection, meta-programming, and advanced design patterns
- Deep proficiency in Azure data services (Databricks, Azure Functions, Event Hubs) and cloud-native architecture
- Advanced expertise in relational database design, star schema modeling, and data warehousing concepts
- Proven experience implementing AI-powered solutions and automation frameworks at enterprise scale
- Demonstrated experience mentoring engineers and influencing technical strategy with measurable impact
- Master's degree in Computer Science, Data Science, or related technical discipline (preferred)
- Expert knowledge of Apache Spark, PySpark, Kafka, and distributed computing concepts (preferred)
- Experience with microservices architecture and full-stack data solution development (preferred)
- Strong system design and architecture skills for complex, cross-functional data platforms (preferred)
- Track record of driving process improvement and technical innovation in enterprise environments (preferred)
- Advanced data visualization and storytelling skills for building stakeholder consensus (preferred)
- Experience leading strategic data engineering initiatives that shape organizational direction (preferred)
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Software Engineer, Data responsible for building data pipelines and maintaining infrastructure for analytics and ML. Collaborate with teams to optimize data systems at Narvar.
Data Architect leading conversations and decisions on data modeling at a global consulting firm specializing in Data & Analytics. Transforming complex processes into clear, reusable information models.
Senior Data Engineer at Supabase managing data pipelines from source to analysis. Collaborating with growth, finance, and product teams to drive business insights.
LP
Data Architect – Snowflake
LinkedIn Recruiter Post
Data Architect - Snowflake needed for full - time hybrid role in Markham, ON. Expertise in Snowflake on AWS, data migration, and ETL required.
LP
Datastage ETL
LinkedIn Recruiter Post
Hiring Datastage ETL contractor for hybrid role in Toronto. Requires 5+ years experience with IBM DataStage, SQL, Unix scripting.
LP
Data Architect (Snowflake & DBT)
LinkedIn Recruiter Post
Data Architect needed to architect and implement Snowflake on AWS solutions, with 8+ years experience in data architecture and engineering.
Associate Data Architect collaborating with stakeholders to design scalable data architecture for AXIS Capital. Maximizing profit through data - driven decision making and implementing effective data governance strategies.
Data Engineer II at Finning supporting production data platforms and integrations using Snowflake, Databricks, Azure services. Collaborating with teams to ensure operational stability and reliability.
Staff Data Engineer at Ledgebrook responsible for architecting data platforms and ensuring data governance. Collaborates across teams to drive data - driven decisions and enhance engineering practices.