Find work in Canada.

318,337 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 16 days ago
EM
PySpark / Databricks Developer (Junior to Intermediate)
Electric Mind
Toronto, ON
- Full-time
- Contract
We're looking for a developer to help build and maintain data pipelines on Databricks for a financial services / wealth management data platform. The platform ingests data from multiple…
Added 16 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in…
Added 16 days ago
QF
Senior Manager, Advanced Credit Risk Modelling (Questbank)
Questrade Financial Group
Toronto, ON · North York, ON
- Full-time
Excellent programming skills (Python, SQL, PySpark) and proficiency with development tools (Git, GitLab, VS Code).
Added 17 days ago
M
Senior Data Scientist
Moneris
Toronto, ON
- Full-time
Work with platform such as Databricks and Snowflake, using Python, PySpark and SQL to conduct advanced data analysis and support model development and deployment.
Added 16 days ago
B
AI Software Senior Analyst
Bombardier
Pointe-Claire, QC
- Full-time
You have strong proficiency in Python, SQL, React, PySpark, REST APIs, and full-stack integration.
Added 17 days ago
Senior Manager, Advanced Credit Risk Modelling (Questbank)
Questrade Financial Group
Toronto, ON
Excellent programming skills (Python, SQL, PySpark) and proficiency with development tools (Git, GitLab, VS Code).
Added 16 days ago
S
Data Engineer - Capital Markets
Synechron
Mississauga, ON
- $110,000 to $120,000 USD / year
- Full-time
We are seeking an experienced Senior Data Engineer with strong expertise in SQL, Data Warehousing, and Snowflake to join our Capital Markets technology team. The ideal candidate will play a…
Added 16 days ago
GT
Senior QA Automation Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $90 to $100 CAD / hour
- Contract
…help strengthen decision-making across the enterprise. As a Senior QA Automation Engineer, you will help build and evolve quality-control frameworks for complex data movement, large-volume…
Added 18 days ago
GT
Databricks Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $80 to $95 CAD / hour
- Contract
…stakeholders, within a team composed of 1 Data Engineer Lead, 5 Senior Data Engineers, and 3 Client/PM…
Added 18 days ago
U
Senior Forward Deployed Engineer (Hybrid, Canada)
Unit8
Montreal, QC
- Full-time
Experience with programming/scripting, such as Python and/or PySpark.
Added 19 days ago
TA
Sr. Manager/AD - Retail Business Consultant -Supply Chain Analytics (CPG/Retail)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Engage with senior client stakeholders (Director/VP level) to understand business context and define analytics solution approaches
Added 25 days ago
C
Senior Data Engineering Consultant
CGI
Vancouver, BC
- Full-time
…solution to a client in the Public sector. We are seeking a Senior Data Engineering Consultant to join our growing data practice and help clients deliver modern, secure, and scalable…
Added 1 month ago
AP
Associate Director - Decision Science
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
…Market Access, Patient Services, and Field teams; influence senior leaders with evidence that drives…
Added 26 days ago
Senior Consultant - Python Developer (Data Solutions & Analytics)
EY
Toronto, ON · Montreal, QC
As a Senior Consultant within our Banking Technology practice, we are seeking a highly motivated Python Developer to join our team. The ideal candidate will have strong experience in…
Added 26 days ago
O
Senior Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Write production‑grade SQL and Python/PySpark code; optimise query performance, partition strategies, and warehouse sizing for cost and speed.
Added 29 days ago
Senior Data Engineer, AI & Agents
Appnovation Technologies
Toronto, ON
As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by AI agents, partnering directly with business stakeholders and subject-matter experts. The…
Added 1 month ago
V
Sr Data Engineer, Specialist
Vanguard
Toronto, ON
- Full-time
This is a senior, highly autonomous role. You will operate as a technical consultant and data architecture
Added 1 month ago
Data Architect Fabric Platform Lead
Mother Parkers Tea & Coffee
Mississauga, ON
Strong hands-on experience with Python, Spark/PySpark, REST APIs, and modern data engineering practices.
Added 1 month ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
Design, build, and implement scalable data pipelines using Microsoft Fabric, including Azure Data Factory, PySpark, Spark SQL, and Python. Develop and maintain ETL/ELT processes to ingest,…
Added 1 month ago
C
Senior Python Developer
CGI
Ottawa, ON
- Full-time
We are seeking a Senior Python Developer with expertise in cloud native development, Azure Databricks, and API engineering. This role supports the development of scalable solutions that…
Added 1 month ago
II
Lead Analytics Engineer
Innodata Inc.
Canada
- $130,000 to $150,000 CAD / year
- Contract
…embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader. This person will be the go-to analytics expert for advertiser revenue,…
Added 1 month ago
SG
Senior Machine Learning Engineer
SCIENTIFIC GAMES
Toronto, ON
- Full-time
We are looking for a Senior Machine Learning Engineer to help build the foundations of our machine learning platform from the ground up. This role is not about creating a centralized…
Added 1 month 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 1 month ago
SG
Senior Machine Learning Engineer
Scientific Games
Toronto, ON · HR Toronto - Canada
- Full-time
We are looking for a Senior Machine Learning Engineer to help build the foundations of our machine learning platform from the ground up. This role is not about creating a centralized…
Added 1 month ago
EB
Senior Analyst, Credit Risk & Collections
EQ Bank
Toronto, ON
- Full-time
Proficiency with data management and reporting tools such as Python and SQL is required

Innodata Inc.

Lead Analytics Engineer

Canada

$130,000 to $150,000 CAD / year · Contract

Apply About employer

Applications open in a new tab.

Job details

Pay: $130,000 to $150,000 CAD / year
Job type: Contract
Posting language: English
Posted: Aug 20, 2026

Original job description

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Scope Of The Role

We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader. This person will be the go-to analytics expert for advertiser revenue, monetization performance, and growth metrics - trusted by Data Scientists, Analysts, PMs, and Engineering leaders to drive high-impact work end-to-end.

This is a staff-level Individual Contributor role, not a mid-level execution seat. The successful candidate operates as:

A trusted thought partner to Data Scientists and Product leaders - someone who improves the quality of the question before answering it.
A technical leader who sets standards for data models, pipelines, and dashboards that others follow.
A force multiplier who unblocks the team by identifying and fixing root causes across the data stack, not just building what's asked.

What You’ll Own

50% - Analytics, Business Insights & Technical Leadership Partnering with Data Scientists and Product on the hardest analytics problems; driving metric definitions; reviewing others' analyses; setting standards for the team's analytics work.
30% - Data Engineering & Pipeline Ownership Architecting and owning production SQL pipelines, data models, and data cubes; designing and operating Airflow DAGs; setting the bar for data quality, reliability, and reconciliation across the domain.
20% - Data Visualization, Metric Governance & Enablement Owning executive-visibility dashboards in Tableau / Superset; defining and governing metrics; enabling self-serve analytics for the broader Monetization org.

Analytics Leadership & Business Partnership

Serve as the senior analytics IC for the Monetization Analytics pod - the person Data Scientists and PMs come to with the hardest, most ambiguous data problems.
Improve the quality of the question before answering - reframe vague asks into sharper, more valuable analytical approaches.
Lead end-to-end analytics initiatives that span data modeling, pipeline work, and dashboard delivery - with minimal supervision and clear stakeholder communication throughout.
Set metric definitions and standards for advertiser revenue, monetization performance, funnel/cohort metrics, and experiment readouts - and drive consistency across dashboards.
Independently drive root-cause analysis on data discrepancies across dashboards, warehouses, or pipelines - including cross-team debugging when needed.
Review, coach, and raise the bar on the work of other analysts and analytics engineers on the team.

Data Engineering & Pipeline Architecture

Architect and own production-grade SQL data pipelines (Presto / Trino / Hive / Spark SQL) - including making the right tradeoffs on incremental vs. full refresh, pre-aggregation, and cost/performance.
Design and own data cubes, aggregate tables, and semantic layers used by the whole Monetization Analytics function.
Author, own, and operate Airflow DAGs for critical revenue and monetization pipelines - including SLAs, on-call posture, backfills, and incident response.
Set and enforce standards for data quality, reconciliation, and observability - row counts, revenue tie-outs, distribution checks, anomaly alerting - across the domain.
Optimize existing pipelines aggressively for cost and latency (partitioning, incremental refresh, query tuning on billion+ row tables) - and quantify the wins.
Contribute to cross-team technical decisions - table designs, upstream schema changes, migration plans (e.g., Hive → Trino) - via design docs and reviews.

Data Visualization, Metric Governance & Enablement

Own the design and quality of executive and cross-functional dashboards in Tableau and/or Superset.
Drive metric governance - clear definitions, owners, source-of-truth queries, validation, deprecation.
Enable self-serve analytics for Data Scientists, Analysts, and PMs - clear naming, documentation, certified metrics, sensible defaults, and coaching.

You’ll Thrive In This Role If You Have

9+ years of combined experience in Data Analytics, Business Intelligence, or Analytics Engineering roles.
At least 3+ years at Senior level or above in an analytics-adjacent role at a high-scale tech, ads-tech, marketplace, or fintech company.
Prior experience as the most senior analytics IC on an embedded team - or a strong case for why they're ready to step into that role now.
Track record of leading end-to-end analytics initiatives - from ambiguous business question through data model, pipeline, dashboard, and rollout.
Prior experience partnering directly with US-based Data Science, Product, and Engineering leaders as a full contributor.

Technical Skills - SQL & Data Engineering (Advanced)

Expert-level SQL - deep proficiency with window functions, CTEs, complex joins, query optimization, incremental patterns, skew mitigation, and cost tuning on billion+ row tables.
Deep hands-on with at least two of: Presto, Trino, Hive, Spark SQL, Snowflake, BigQuery, Redshift. Can reason about query plans and physical layout, not just syntax.
Advanced Airflow - has architected and operated large DAG ecosystems (50+ production DAGs), including cross-DAG dependencies, backfills at scale, and SLA management. Equivalent orchestrators (Dagster, Prefect) also acceptable if depth is comparable.
Data architecture & modeling depth - Kimball, star schema, dimensional modeling, OLAP cubes, wide fact tables, slowly-changing dimensions, semantic layer design. Can defend design tradeoffs in a design review.
ETL / ELT architecture - incremental loads, backfills, idempotency, data quality frameworks, lineage.
Python for data work - pandas, PySpark, scripting, and light tooling development.
dbt or equivalent transformation framework experience strongly preferred.
Experience contributing to or reviewing design docs and RFCs for data platforms and pipelines.

Technical Skills - Visualization

Deep, hands-on production experience building executive-grade dashboards in Tableau and/or Apache Superset (Looker, Power BI, Mode also acceptable).
Strong opinions on dashboard design - headline vs. drilldown metrics, layout, filters, performance, self-serve UX.
Experience driving metric governance and self-serve BI at an org level.

Analytics & Business Skills

Strong grasp of KPI definition, metric design, funnel analysis, cohort analysis, and A/B testing methodology.
Deep exposure to digital advertising / monetization metrics - impressions, clicks, CTR, CPM, CPC, CVR, ROAS, revenue attribution, incrementality - is strongly preferred.
Prior experience at ads-tech, digital media, or major consumer/marketplace tech companies (Meta, Google, Amazon, Uber, DoorDash, Snap, TikTok, LinkedIn, Airbnb, Instacart, Pinterest peers, etc.) is a strong plus.
Comfort reading experiment results and challenging methodology when needed.

Leadership, Communication & Ways of Working

Native or near-native English (spoken and written) - this is a hard requirement.
Track record of leading initiatives end-to-end with minimal direction - scoping, aligning stakeholders, executing, and communicating results.
Comfortable pushing back on unclear or misdirected requirements and proposing better approaches.
Prolific writer of design docs, RFCs, requirement docs, and postmortems.
Experience mentoring or coaching less-senior analysts and analytics engineers - even if not a formal manager.
Executive presence - can present analytics work to Director/VP-level stakeholders and defend recommendations.
Operates with the ownership mindset of a permanent employee, even in a contract role.

The expected salary range for this position is $130,000 – $150,000 CAD per year, based on experience, skills, and qualifications.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams.

If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.

Apply About employer

More about this job

Responsibilities

Lead the design and ownership of production SQL pipelines, data models, and executive dashboards for monetization and advertiser revenue. Act as a technical leader and thought partner to Data Scientists and Product managers to drive high-impact analytics initiatives.

Requirements

Requires 9+ years of experience in data analytics or engineering, with at least 3 years at a senior level in a high-scale tech environment. Must possess expert-level SQL skills and deep experience with Airflow and modern data warehouse technologies.

Skills

Advanced SQL
Airflow
Data Modeling
Tableau
Apache Superset
Python
PySpark
dbt
Presto
Trino
Hive
Spark SQL
KPI Definition
A/B Testing
Metric Governance
ETL/ELT Architecture

Visa sponsorship

Not detected in the job text

Keywords

Analytics Engineering
Data Science
Monetization
Ads-tech
SQL
Airflow
Presto
Trino
Hive
Spark SQL
Snowflake
BigQuery
Redshift
Kimball
Star Schema
Dimensional Modeling
OLAP Cubes
Pandas
dbt
Tableau
Apache Superset
KPI
Funnel Analysis
Cohort Analysis
A/B Testing
CTR
CPM
CPC
CVR
ROAS

Report this job