LP
Sr. Databricks Developer
LinkedIn Recruiter Post
Senior Databricks Developer to support Synapse to Databricks migration and build production - grade data engineering pipelines for global asset management technology.
About the role
- Senior Data Engineer optimizing data pipelines for AI-driven insights at Homebase. Involves collaboration with product and analytics teams to drive data architecture transformation.
Responsibilities
- Design, develop, and optimize data pipelines to process structured & unstructured data at scale
- Build and maintain data models (fact, dim, SCD2, medallion/layered, marts)
- Create reports and dashboards to support business performance analysis
- Partner with product, data science, and analytics teams to enable AI-powered features
- Support data architecture transformation & migration on Databricks
- Troubleshoot and resolve data quality/performance issues quickly
- Optimize queries and enforce best practices for reliability and velocity
- Drive continuous improvement of workflows through automation and experimentation
- Own projects end-to-end: planning → execution → delivery
Requirements
- 5+ years of software/data engineering experience
- Expertise in SQL (window functions, CTEs, complex joins)
- Intermediate–advanced Python (OOP, testing, package mgmt)
- Experience with Databricks (streaming, Unity Catalog, resource mgmt)
- Experience with Spark (partitioning, skew handling, delta ops, Spark UI)
- Strong knowledge of data modeling & architecture
- Experience with DBT, Airflow, Kafka, API/S3 ingestion
- Comfort with deploying/monitoring ML models in production (batch, streaming, real-time inference)
- Ability to explain technical concepts clearly to non-technical teammates
- Ownership mindset: self-driven, proactive, accountable
Benefits
- Ownership & Savings: Stock options + TFSA/RRSP with 4% company match
- Health & Wellness: Comprehensive medical, dental, and vision for you and your dependents
- Time Flexibility: Flex time off + company holidays + designated focus periods
- Family Support: Maternity/Parental Leave EI top-up support offered (after 6 months of service)
- Work Your Way: Work From Anywhere Month + meeting-free weeks yearly
- Protection Plans: Life insurance + short/long-term disability coverage
- Workspace Perks: Meals provided, team offsites, and Customer Days
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.
LP
Datastage ETL
LinkedIn Recruiter Post
Hiring Datastage ETL in Toronto (Hybrid - 4 Days Onsite). Requires 5+ years exp, IBM InfoSphere DataStage, SQL, Unix scripting, and ETL architecture knowledge.
Junior Data Engineer developing and maintaining production data pipelines at Citylitics. Leveraging GCP technologies for impactful data - driven infrastructure solutions.
Senior Data Engineer developing and managing Flinks' data platform to power their financial intelligence products. Collaborating across teams to establish data governance, observability, and reliability.
Fabric Data Architect designing and optimizing end - to - end data architectures at Keyrus. Collaborating with clients to deliver scalable data pipelines and lead teams through implementations.
LP
GCP Data Engineer
LinkedIn Recruiter Post
Hiring a GCP Data Engineer for a TOP5 Bank in Canada on a 6 - month contract, requiring 10+ years of experience and expertise in GCP, Python, BigQuery, and Cloud Composer.
LP
Datastage ETL
LinkedIn Recruiter Post
Aarorn Technologies seeks a Datastage ETL expert with 5+ years of experience for a hybrid role in Toronto. Must have strong SQL, Unix scripting, and ETL architecture skills.
Principal Engineer for Data Platform at TD Securities. Responsible for ownership of data platform operations and customer delivery while leading a team of solution engineers.
Senior Data Engineer managing data engineering projects for a Canadian financial institution. Delivering high - impact initiatives with minimal supervision and strong technical guidance.
Senior Data Engineer with Platform Experience helping a Canadian financial institution upgrade its Core Data Platform. Requires 7+ years in Data Engineering and strong technical skills in various tools.