winnipeg, mb data engineer Jobs – 1 Openings This Week

Senior Data Engineer
Pollard Banknote Limited —Winnipeg, MB
- Full-time
- Remote
- SQL
- AWS
- Python
- Profit sharing
- Tuition reimbursement
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7d

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Senior Data Engineer

Pollard Banknote Limited
Winnipeg, MB

Quick apply

Job details

Full-time
7 days ago

Benefits

Profit sharing
On-site gym
Tuition reimbursement
Company pension

Skills

Spark
Enterprise architecture
SQL
AWS
S3
Business requirements
Python
Analytics

Full job description

We’re looking for a Senior Data Engineer to join our Corporate Applications & Development team within our Winnipeg or remote in Canada.

This role serves as the technical leader enabling data science within the organization. The Senior Data Engineer is responsible for designing, building, and operationalizing data pipelines and modeling-ready datasets that allow the Data Scientist to focus on analytics, modeling, and business insights. Working in close partnership with the Data Scientist, this role establishes scalable, governed, and production-ready data solutions aligned with enterprise architecture and AWS-based data platform capabilities. The position balances hands-on engineering with technical leadership, ensuring the organization builds a strong foundation for advanced analytics and AI while maintaining a lean and pragmatic approach. The role is critical to ensure data science initiatives are productive from day one and scalable as demand grows

Who We Are

Experience the forefront of innovation with Pollard Digital Solutions a division of Pollard Banknote, where we lead the charge in revolutionizing digital solutions for state lotteries. From groundbreaking initiatives like iLottery to crafting immersive player experiences that champion noble causes globally, our team's innovative spirit is driving impactful changes in the industry. Join us in this exhilarating journey, where every contribution makes a difference in shaping the future of lottery gaming.

What We Offer

Competitive compensation
Profit sharing program – every role plays a part in our success!
Company pension
Comprehensive Group Benefits
Opportunities for professional development
Tuition reimbursement
Employee & Family Assistance Program
A variety of committee driven employee engagement activities
On-Site Cafeteria & Outdoor Patio
On Site Gym
Free Parking
Remote/Hybrid Work Environment

What You'll Do

Lead the design and implementation of data pipelines and data models supporting analytics and machine learning use cases.
Prepare, maintain, and optimize clean, conformed, modeling-ready datasets (e.g., distribution, shipments, inventory, lead times).
Collaborate directly with the Data Scientist in Python and SQL to support feature engineering, experimentation, and model development.
Operationalize data science workflows by converting notebooks into scheduled, repeatable, production-ready jobs Build and manage AWS-based data solutions (SageMaker, Glue, EMR, Workflows, S3 Tables, etc) ensuring scalability and reliability
Establish and enforce data governance practices including ownership, documentation, lineage, and access controls
Contribute to platform design and continuous improvement aligned to enterprise architecture and tooling standards

What You'll Bring

You will have current data engineering or related work experience
Strong experience with AWS data services (SageMaker, Glue, EMR, Workflows, S3 Tables, etc) and data platform implementation
Advanced SQL and Python developmentin analytics/data environments
Experience building and operationalizing data pipelines, ETL / ELT and data products
Experience supporting analytics, reporting, or data science workloads
Experience working with large-scale datasets and distributed processing (e.g., Spark)
Proven ability to translate business requirements into scalable technical solutions

Pollard Banknote Limited is an equal opportunity employer, committed to promoting and maintaining a diverse and inclusive workforce. Reasonable accommodations are available upon request.

Employment is contingent upon a satisfactory response from a Criminal Record Search.

Quick apply

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