LP
Technology Lead – Data Services
LinkedIn Recruiter Post
Lead SAP Data Services (BODS) architecture and ETL delivery in Toronto. Optimize data jobs and mentor developers.
About the role
- AI Integration & Data Engineer Intern at innovative Language Synthesis AI firm. Focus on data integration and supporting AI features through effective data pipelines and collaboration.
Responsibilities
- Connect to client systems — databases, APIs, CRMs, and other SaaS tools — and get data reliably out of and into them.
- Extract, clean, transform, and move data so it is structured and usable by AI features, including retrieval and agentic workflows.
- Build and maintain data pipelines that feed the Applied AI Engineer’s RAG and agent systems with current, correct data.
- Use AI coding tools to accelerate integration work, while applying real engineering judgment to the bespoke, messy parts those tools handle poorly.
- Handle the practical realities of client data: undocumented schemas, inconsistent formats, partial records, and access constraints.
- Apply data-handling, security, and privacy best practices throughout, especially with client data.
- Collaborate with the Builder and the Applied AI Engineer to ensure data flows cleanly end to end, and document integrations and pipelines in Notion so they are repeatable and maintainable.
Requirements
- Currently enrolled or recently graduated from a Master’s program in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field.
- Solid back-end and data fundamentals: Python and/or Node.js, plus comfort with SQL and relational databases.
- Demonstrated experience using AI coding tools (Cursor, Copilot, Claude Code, Windsurf, or similar) as a core part of how you build.
- Hands-on experience moving data between systems — working with APIs, building simple pipelines, or cleaning and transforming real datasets.
- Ability to read, evaluate, and improve AI-generated code rather than accepting it blindly, particularly for integration logic.
- Understanding of databases, APIs, and asynchronous request handling.
- Comfort working with incomplete, messy, or undocumented data and making sensible assumptions.
- Awareness of data security and privacy best practices.
- Excellent verbal and written communication skills within a cross-functional team environment.
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
Senior Databricks Architect
LinkedIn Recruiter Post
Senior Databricks Architect needed for contract role in Winnipeg, MB. Must have Azure Databricks, PySpark, and Azure DevOps expertise; onsite mandatory.
Data Engineering Developer building scalable Azure data pipelines for an agile tech development firm. Advising clients, implementing governance, and improving cloud data engineering standards.
Ingénieur(e) données concevant des pipelines et architectures analytiques Azure. Collaboration client et amélioration des standards de gouvernance, qualité et performance des données.
Junior Data Engineer building reliable ETL pipelines and data solutions for PLATO, Canada’s Indigenous - owned technology services company. Improving data quality, accessibility, governance, and pipeline performance.
Senior Data Engineer building scalable, AI - powered data infrastructure for CloudBlue, HostPapa’s cloud commerce platform. Developing real - time pipelines, APIs, and production analytics systems.
Senior Fabric Data Engineer modernizing enterprise data for Canadian IT consulting clients. Building Microsoft Fabric pipelines, curated datasets, security controls, and analytics - ready models.
Staff Data Engineer building scalable pipelines and lakehouse architecture for Sonatype, a software supply chain security company. Driving trusted analytics, ML, and business intelligence data with Databricks, Spark, and modern cloud technologies.
Senior Fabric Data Engineer modernizing learning - platform data for Cornerstone Galaxy. Building Microsoft Fabric pipelines, curated datasets, governance, and analytics - ready integrations.
GCP Data Platform Engineer maintaining and optimizing production data platforms for Innodata, a global data engineering and AI services company. Supporting Airflow pipelines, GCP infrastructure, reliability, and troubleshooting.