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Added 2 months ago
T
Sr. Full Stack Data Science Engineer
TD
Toronto, ON · Montreal, QC
- Full-time
Core Analytical Tools: Proficient in Python, PySpark, SQL, Power BI, and Databricks (or similar platforms) for data preparation, analysis, and collaboration.
Added 2 months ago
C
Data Engineer
Citi
Mississauga, ON
- Full-time
Write, review, and approve clean, modular, and highly performant Scala and Python code, enforcing best practices across the team.
Added 2 months ago
Senior Agentic Engineer - JavaScript
TribalScale
Toronto, ON
Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products.
Added 2 months ago
X
Layout & Design Engineer - SNSPDs (Superconducting Nanowire Single Photon Detectors)
Xanadu
Toronto, ON
- Full-time
Experience using Python for component design, simulation, layout, and data analysis
Added 2 months ago
L
Senior Java Developer (with Python, AWS and Terraform)
Luxoft
Toronto, ON
- Contract
…systems. A background in capital markets and proficiency in Python are considered…
Added 2 months ago
S
Lead Data and AI Engineer
Sanofi
Toronto, ON
- Full-time
Advanced SQL and data modeling skills, with working knowledge of Python and scripting languages; Scala or Java is a plus
Added 2 months ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Vancouver, BC
Strong programming skills in Python (preferred), Java, or JavaScript.
Added 2 months ago
F
Full Stack Development (Remote - Canada)
Float
Remote, Canada
- Full-time
- Remote
Bonus: experience with Python/Django, TypeScript/React, AWS, or fintech products.
Added 2 months ago
Software Developer Intern, PhD, Summer 2027
Google
Toronto, ON · Waterloo, ON · Montreal, QC
Experience coding in one of the following programming languages including but not limited to: C, C++, Java, or Python.
Added 2 months ago
ASIC Design Engineer - Digital DSP Design & Analog/Mixed-Signal
Celero Communications, Inc.
Ottawa, ON
Develop scripts and automation using Python, Tcl, or similar languages to improve design and verification efficiency.
Added 2 months ago
TT
Production Application Engineer - Building Automation
Trane Technologies
Montreal, QC
- Full-time
…solutions. As well, a bonus if you work in Linux and code in python. Important to be open to share your experience and knowledge. We want our employees to have an open mind and to want to…
Added 2 months ago
TA
Machine Learning Engineer (with Vertex AI Experience)
Tiger Analytics
Canada
- Full-time
Expert in Python with strong OOP and functional programming skills
Added 3 months ago
H
Staff Software Engineer, Full Stack
Harvey
Toronto, ON
- Full-time
Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related.
Added 2 months ago
BV
Senior DevOps Engineer, Agentic Automation & Live Games
Big Viking Games
Remote, Canada
- Full-time
- Remote
Added 2 months ago
FH
FP&A Manager – Clinic Finance & Business Partner
Finni Health
Remote, Canada
- $90,000 to $120,000 CAD / year
- Full-time
- Remote
You know how to build with AI agents, with a basic working knowledge of GitHub, Python, and software development fundamentals.
Added 2 months ago
MT
Sr Engineer I - Validation (Systems)
Microchip Technology Inc.
Burnaby, BC · Canada - Burnaby
- Full-time
Strong programming and scripting skills in C / C++ and Python (or Tcl).
Added 2 months ago
MT
Principal Engineer - Validation (Systems)
Microchip Technology Inc.
Burnaby, BC · Canada - Burnaby
- Full-time
Strong programming and scripting skills in C / C++ and Python (or Tcl).
Added 2 months ago
TR
Senior Software Engineer I
Thomson Reuters
Toronto, ON
- Full-time
…including hands-on development in our React, TypeScript and Python stacks - and direct contribution to AI-powered capabilities such as agentic workflows, LLM integrations, and MCP/A2A-based…
Added 2 months ago
TR
Staff Software Engineer I
Thomson Reuters
Toronto, ON
- Full-time
…including hands-on development in our React, TypeScript, and Python stacks - and direct contribution to AI-powered capabilities such as agentic workflows, LLM integrations, and MCP-based…
Added 2 months ago
GD
Cybersecurity Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
- Full-time
Strong with C, C++, C#, and Python programming languages
Added 2 months ago
A
Software Engineer, Education
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Strong programming skills in Python and/or C++; experience writing production-quality code and libraries
Added 2 months ago
S
Staff Data Analyst
Stripe
Toronto, ON
- Full-time
Added 2 months ago
MI
Production Engineering Technician
Magna International
Guelph, ON
- Full-time
Controls programming (PLC, Python, Ignition) experience is an asset
Added 2 months ago
UO
Postdoctoral Research Fellow
University of British Columbia
Vancouver, BC · VCH | Vancouver General Hospital - Research Pavilion (VGHRP)
- Full-time
Excellent programing skills (e.g., Python, R), with hands-on experience in Bash scripting, workflow management (Snakemake), LLMs, text mining, or knowledge graph construction (e.g.,…
Added 2 months ago
Software Architect
Scotiabank
Toronto, ON
Experience developing large applications (Python and microservice architecture are strongly preferred).

Citi

Data Engineer

Mississauga, ON, Canada

$120,800.00 - $170,800.00 · Full-time

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Job details

Pay: $120,800.00 - $170,800.00
Job type: Full-time
Experience: 6+ years of relevant experience in Apps Development or systems analysis role
Posting language: English
Posted: Aug 24, 2026

Original job description

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

This is a hands-on technology leadership role responsible for architecting, developing, optimizing, and operating large-scale batch and real-time data-processing platforms at an enterprise scale. The position requires a candidate who can combine deep technical expertise in distributed data processing with effective team leadership, stakeholder management, and end-to-end delivery accountability. The successful candidate will serve as a subject-matter expert in modern data engineering, guiding both technical strategy and execution.

The Data Engineering Lead will drive the design and implementation of high-throughput data solutions capable of handling multi-terabyte to petabyte-scale datasets. This role balances advanced development and performance engineering with the leadership of a global team of data engineers, ensuring the delivery of robust, scalable, and maintainable data pipelines.

Responsibilities:

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Lead the architecture, design, and development of high-throughput batch and real-time streaming data pipelines using Apache Spark, Databricks, and Kafka.
Serve as the senior subject-matter expert for Spark architecture, job optimization, SQL query tuning, distributed processing, and Databricks performance engineering.
Write, review, and approve clean, modular, and highly performant Scala and Python code, enforcing best practices across the team.
Diagnose and resolve complex performance bottlenecks by analyzing Spark DAGs, execution plans, and executor metrics to address issues like data skew, shuffling, and memory management.
Apply advanced optimization techniques for Spark and SQL, including broadcast joins, predicate pushdown, partition pruning, Z-Ordering, and adaptive query execution.
Manage and optimize Databricks workspaces, including Unity Catalog, Delta Live Tables, job clusters, security, governance, and monitoring.
Implement and manage Apache Iceberg or Delta Lake as an enterprise table format, applying knowledge of features such as hidden partitioning, schema evolution, and compaction strategies.
Develop and enforce enterprise data-modelling standards and Lakehouse practices, including medallion architecture (Bronze, Silver, Gold layers).
Lead, mentor, and develop a global team of data engineers, conducting code reviews, architecture reviews, and technical design sessions.
Manage technical priorities, delivery milestones, dependencies, and risks, and collaborate effectively with business stakeholders, product owners, architects, and support teams.
Define and enforce standards for coding, testing, deployment, monitoring, data quality, operational readiness, and production support.
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Recommended Qualifications:

6+ years of relevant experience in Apps Development or systems analysis role
Extensive experience system analysis and in programming of software applications
Expert-level development skills in Scala and Python.
Advanced SQL development and query-optimization skills, with a proven ability to tune slow-running queries and Spark jobs.
Strong knowledge of data warehousing concepts, Lakehouse modelling, and medallion architecture.
Hands-on experience with Apache Iceberg or Delta Lake is required.
Extensive hands-on experience with Apache Spark, Spark Structured Streaming, Databricks, Delta Live Tables, and Kafka.
Deep knowledge of Apache Spark internals, including the Catalyst Optimizer, Tungsten execution engine, memory management, execution plans, partitioning, and shuffle behavior.
Expertise in reading Spark UI metrics to identify bottlenecks, resolve data skew, and optimize partitioning, caching, joins, and memory utilization.
Proven experience architecting and operating multi-terabyte to petabyte-scale data platforms in a public-cloud environment (AWS or Google Cloud Platform).
Subject Matter Expert (SME) in at least one area of Applications Development
Experience in managing and implementing successful projects
Experience leading and mentoring global or distributed data-engineering teams.
Demonstrated leadership and project management skills
Exceptional communication, stakeholder-management, and problem-solving skills.
Consistently demonstrates clear and concise written and verbal communication
Ability to adjust priorities quickly as circumstances dictate

Education:

Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location Full Time Salary Range:

$120,800.00 - $170,800.00

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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More about this job

Responsibilities

The role involves leading the architecture, design, and development of high-throughput batch and real-time streaming data pipelines at an enterprise scale. The lead will also mentor a global team of data engineers while ensuring robust, scalable, and maintainable data solutions.

Requirements

Candidates must have 6+ years of experience in software development or systems analysis with expert-level skills in Scala, Python, and SQL. Proficiency in Apache Spark, Databricks, and cloud-based data platform architecture is required.

Skills

Apache Spark
Databricks
Kafka
Scala
Python
SQL
Data Engineering
Distributed Systems
Cloud Computing
AWS
Google Cloud Platform
Delta Lake
Apache Iceberg
Data Modeling
Team Leadership
Performance Engineering

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Apache Spark
Databricks
Kafka
Scala
Python
SQL
Delta Lake
Apache Iceberg
Cloud Computing
AWS
Google Cloud Platform
Data Modeling
Medallion Architecture
Distributed Processing
Performance Engineering
Unity Catalog
Delta Live Tables
System Analysis
Software Development
Team Leadership
Stakeholder Management
Data Pipelines
Batch Processing
Real-time Streaming
Memory Management
Execution Plans
Data Quality
Architecture
Infrastructure

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