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Added 1 month ago
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Java Developer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
Citi is looking for a skilled Java Developer to join our Technology team and play a key role in building, maintaining, and advancing enterprise-grade shared services that underpin critical…
Added 1 month ago
M
Senior AI Engineer
Mastercard
Vancouver, BC
- Full-time
…will independently build and ship agent-based applications and developer tooling, and partner with data science counterparts and engineering partners to take proofs of concept from…
Added 1 month ago
MO
Quality Assurance Analyst
Meridian OneCap Credit Corp.
Toronto, ON
- $52,000 to $78,000 CAD / year
- Full-time
Added 1 month ago
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Data Scientist / Analytics Engineer (12-month maternity leave contract)
audiobooks.com
Burlington, ON
- Contract
Develop, maintain, and troubleshoot ETL/data pipelines using Python, PySpark, SQL, and AWS Glue.
Added 6 months ago
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Sr Staff Software Engineer
Kaseya
Toronto, Ontario
- Full-time
Database Expertise: Solid understanding of SQL and NOSQL databases with experience in database design, scaling, and optimization.
Added 6 months ago
TI
Data Engineer (Python/Spark)
Take-Two Interactive Software
Toronto, Ontario
- $120,000 CAD / year
- Full-time
The ideal candidate is a strong Python developer who has some experience in front-end technologies like JavaScript, CSS3 and/or HTML5. They are a self-starter, comfortable with ambiguity,…
Added 6 months ago
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Principal Software Engineer - AI
Boomi
Vancouver, British Columbia
- Full-time
Drive design decisions around data storage, processing, and retrieval strategies across SQL, NoSQL, Vector databases, and search technologies.
Added 6 months ago
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Principal Software Engineer
pubGENIUS.inc
Remote, Canada
- $100,000 to $150,000 USD / year
- Full-time
- Remote
GCP with hands-on experience in Cloud Run, Cloud Build, Cloud SQL, and Load Balancing. GCP certification is a significant bonus.
Added 6 months ago
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Data Engineer
BrainStation
Toronto, Ontario
- $90,000 to $125,000 CAD / year
- Full-time
Strong programming skills in SQL, Python, or related languages.
Added 6 months ago
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Senior Specialist - Data Sciences
LTM
Ontario · Ontario, Canada
- $81,325 to $125,000 CAD / year
- Full-time
Added 6 months ago
S
Java Developer
Synechron
Calgary, Alberta
- Full-time
We are looking for a Java developer to join our team and help deliver key initiatives. The candidate should be a solid Java programmer, with strong design and implementation fundamentals.…
Added 3 months ago
Controls SCADA Designer
Eclipse Automation
Cambridge, Ontario
Must have experience with Microsoft Visual Studio, SQL, and Web Design
Added 1 month ago
A
Senior Analyst, GenAI Marketing (Bangkok Based, Relocation Provided)
Agoda
Vancouver, BC
- Full-time
Build and test prototypes using SQL, Python, automation tools and generative AI technologies.
Added 1 month ago
A
Senior Analyst, GenAI Marketing (Bangkok Based, Relocation Provided)
Agoda
Montreal, QC
- Full-time
Build and test prototypes using SQL, Python, automation tools and generative AI technologies.
Added 1 month ago
A
Senior Analyst, GenAI Marketing (Bangkok Based, Relocation Provided)
Agoda
Toronto, ON
- Full-time
Build and test prototypes using SQL, Python, automation tools and generative AI technologies.
Added 1 month ago
GU
Programmer
Georgetown University
St. Mary's, NL · St Marys, NL
- Full-time
Familiarity with the following programming software: Python and SQL.
Added 1 month ago
Artificial Intelligence & Data Architect (Developer)
BMO
Toronto, ON · FCP
Proficiency in Python, SQL, and other relevant programming languages.
Added 1 month ago
Embedded Developer Intern, Engine Data Reliability ( Winter/ January 2027, 12-16 months)
Internship List
Oakville, ON
…our growth and deliver results! Geotab is seeking a embedded developer intern who will be responsible for assisting with the management of the firmware releases for our embedded/IoT…
Added 1 month ago
MO
Software Developer
Meridian OneCap Credit Corp.
Toronto, ON
- $68,800 to $103,200 CAD / year
- Full-time
…technology solutions that power our business. As a Software Developer, you will collaborate with business analysts, quality assurance specialists, infrastructure teams, and fellow…
Added 1 month ago
Manager, Compliance
Questrade Financial Group
Toronto, ON
Proficiency in SQL, Power BI or other data extraction and reporting.
Added 1 month ago
EM
Senior Java Backend Developer
Electric Mind
Toronto, ON
- Contract
We’re looking for a Senior Java Backend Developer to join our team. This opportunity is open to candidates interested in either permanent or contract employment.
Added 1 month ago
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Implementation Manager - Core-IP
Northwestel
Yellowknife, NT · Whitehorse, YT
- Full-time
Added 1 month ago
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AI/Data Application Developer, TD Securities
TD
Toronto, ON
- Full-time
…capabilities across our global Research business. We are looking for a Developer based in Toronto to help deliver scalable, modern solutions that support colleagues and stakeholders across…
Added 1 month ago
T
Bus Sys Analysis Specialist
TD
Toronto, ON
- Full-time
Strong SQL skills and ability to analyze data to support business requirements and testing activities.
Added 1 month ago
T
Senior Full Stack Developer (CRM), TD Securities
TD
Toronto, ON
- Full-time
…Research & Markets businesses. We are looking for a Senior developer based in Toronto to join our team and help deliver scalable, modern solutions that support colleagues and stakeholders…

audiobooks.com

Data Scientist / Analytics Engineer (12-month maternity leave contract)

Burlington, ON, L7L 5K6, Canada

Contract

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Job details

Job type: Contract
Experience: 3+ years of experience in Data Science, Analytics Engineering, Data Engineering, or a similar hands-on data role.
Posting language: English
Posted: Sep 10, 2026

Original job description

Data Scientist / Analytics Engineer

We are seeking a hands-on Data Scientist / Analytics Engineer to join our team for a 12-month maternity leave contract.

This role combines data engineering, analytics, business intelligence, and data science. The successful candidate will maintain and develop data pipelines, transform large and complex datasets, build and support business-critical KPIs and reporting, and provide analytical insights across customer lifecycle, subscription, engagement, marketing, and revenue data.

The ideal candidate is comfortable working independently from business requirements through data investigation, development, validation, and final reporting.

Key Responsibilities

Develop, maintain, and troubleshoot ETL/data pipelines using Python, PySpark, SQL, and AWS Glue.
Process large datasets from relational databases, APIs, cloud platforms, marketing systems, and application/event data.
Build and maintain analytics-ready datasets using Amazon S3, AWS Glue, Glue Data Catalog/Crawlers, Workflows, and Amazon Athena.
Write complex SQL and PySpark transformations involving joins, window functions, aggregations, deduplication, date/time logic, and large historical datasets.
Maintain incremental data processing workflows, checkpoints, partitioned datasets, and recurring production jobs.
Develop and maintain customer lifecycle analytics, including free trials, active subscriptions, cancellations, suspensions, reactivations, churn, retention, and winback analysis.
Analyze customer engagement and application/session activity and connect behavioral data with subscription history.
Develop and maintain weekly and monthly KPIs, cohort analyses, customer segmentation, and performance reporting.
Integrate and analyze marketing acquisition and advertising data across platforms, channels, campaigns, and geographies.
Develop and maintain datasets and metrics used in Power BI reporting.
Investigate discrepancies, data quality issues, schema changes, pipeline failures, and unexpected changes in business metrics.
Maintain documentation for important datasets, business rules, KPI definitions, and data transformations.
Continue to implement a data governance strategy.
Collaborate to plan data requirements for new projects to ensure no gaps in measuring outcomes.

Required Qualifications

3+ years of experience in Data Science, Analytics Engineering, Data Engineering, or a similar hands-on data role.
Advanced SQL skills, including complex joins, CTEs, aggregations, and window functions.
Strong Python skills for data processing, automation, and ETL.
Handson experience with PySpark / Apache Spark.
Experience working with AWS data services, particularly AWS Glue, Amazon S3, and Amazon Athena.
Experience designing, maintaining, and troubleshooting production data pipelines.
Experience with Power BI Service, Desktop and Dax studio
Experience with Dax language and M Language in Power query.
Strong understanding of data transformation, validation, data quality, and analytical dataset design.
Ability to work with large datasets and troubleshoot complex data issues independently.
Strong analytical and problem-solving skills.
Experience with Git/version control.
Ability to translate business questions into technical requirements and measurable KPIs.
Strong communication skills and ability to work with both technical and business stakeholders.

Nice to Have Qualifications

Experience with churn, retention, cohort, customer lifecycle, LTV, or engagement analysis.
Experience with marketing and attribution platforms such as Google Ads, Apple Search Ads, Adjust, CJ, or similar platforms.
Experience integrating data through REST APIs.
Familiarity with additional AWS services such as Lambda, RDS/Aurora, IAM, or Lake Formation.
Experience with customer segmentation, RFM analysis, statistical modeling, or predictive analytics.
Experience with Looker and Google services.

Ideal Candidate

The ideal candidate is a technically strong and detail-oriented data professional who is comfortable owning a problem end-to-end. They should be equally comfortable troubleshooting a data pipeline, writing complex SQL or PySpark transformations, investigating a KPI discrepancy, integrating a new data source, and explaining results to business stakeholders.

Because this role supports existing production data processes and business-critical reporting, strong hands-on SQL, Python/PySpark, and AWS experience is particularly important.

WORKING WITH US

At Audiobooks.com, you'll never feel tied to your desk. We employ a hybrid work policy, working 3 days a week from home (Tuesdays & Thursdays in office). We've got two stories of really bright, open space in a great location that's just a 10minute walk from Appleby GO Station, and we offer free parking. We provide our employees with healthy snacks, full benefits, and an unlimited paid vacation policy. Our close-knit group runs a fun book club and frequent lunch outings for our resident foodies. Everyone who works here is friendly, talented, and passionate, and enjoys getting their hands dirty building amazing products.

Audiobooks.com is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive and accessible workplace where all employees feel valued and respected.

We are committed to providing accommodations throughout the recruitment and selection process in accordance with applicable human rights and accessibility legislation. If you require an accommodation during any stage of the recruitment process, please let us know, and we will work with you to meet your needs.

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More about this job

Responsibilities

The role involves developing and maintaining ETL data pipelines and analytics-ready datasets using AWS services and Python. You will also build business-critical KPIs and provide analytical insights across customer lifecycle, marketing, and revenue data.

Requirements

Candidates must have 3+ years of experience in data science or engineering with advanced proficiency in SQL, Python, and PySpark. Experience with AWS data services and Power BI is essential for managing production data processes and reporting.

Skills

Python
PySpark
SQL
AWS Glue
Amazon S3
Amazon Athena
ETL
Data pipelines
Power BI
DAX
M Language
Data modeling
Data governance
Git
KPI development
Customer lifecycle analytics

Benefits

Full benefits
Healthy snacks
Book club
Lunch outings

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Analytics Engineer
Python
PySpark
SQL
AWS Glue
Amazon S3
Amazon Athena
ETL
Power BI
DAX
M Language
Data Pipelines
Data Governance
Git
KPIs
Customer Lifecycle
Churn Analysis
Retention
Marketing Analytics
Data Quality
Cloud Platforms
Relational Databases
APIs
Data Modeling
Business Intelligence
Cohort Analysis
Segmentation
Attribution
Version Control

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