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Data Manager Jobs in Hamilton, ON (NOW HIRING)

Data Scientist

Cambridge, ON · On-site

CA$600/day

... managing modern data pipelines and lakehouse architectures using Delta Lake, Delta Live Tables ... Structured Streaming, Workflows, medallion architectures (Bronze/Silver/Gold), and real-time/batch ...

Strong interpersonal and relationship-management skills; * Strong active-listening skills and the ability to translate business needs into data science solutions; * Experience managing client ...

Data Intelligence Specialist

Dundas, ON · Remote

CA$75K - CA$105K/yr

Project & Stakeholder Management * Coordinate work with cross-functional teams including developers ... Data modeling and semantic layer design * Data lake and warehouse architecture * Metadata, lineage ...

Data Engineer

Guelph, ON · On-site

CA$90K - CA$150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI ...

Manage Cloud Data Platforms: You will implement and optimize data models and storage across BigQuery, Snowflake, PostgreSQL, and Google Cloud Storage to ensure scalable and efficient data solutions.

The Data Scientist applies expertise in artificial intelligence through use of machine learning ... Here, you will manage, influence, play, create, fix, and shape the industry. Location :Burlington ...

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ ...

We are looking for a Data Scientist to develop, deploy, and scale machine learning (ML) and AI solutions for fleet analytics, logistics optimization, and operational decision-making. This is a hands ...

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ ...

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ ...

Req ID: 386510 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Senior Change Manager to join our team in Ottawa, Ontario (CA-ON ...

New

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ ...

Data Scientist

Kitchener, ON · On-site

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Data Scientist

Kitchener, ON · On-site

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Data Scientist

Ottawa, ON · On-site

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Showing results 41-60

Data Manager information

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What are the key skills and qualifications needed to thrive as a data manager, and why are they important?

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their role essential for organizations managing large data sets.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.

What are popular job titles related to Data Manager jobs in Hamilton, ON?

For Data Manager jobs in Hamilton, ON, the most frequently searched job titles are:

What job categories do people searching Data Manager jobs in Hamilton, ON look for?

The top searched job categories for Data Manager jobs in Hamilton, ON are:

What cities near Hamilton, ON are hiring for Data Manager jobs?

Cities near Hamilton, ON with the most Data Manager job openings:

Infographic showing various Data Manager job openings in Hamilton, ON as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Data Scientist

ATS Automation

Cambridge, ON • On-site

CA$600/day

Full-time

Medical, Dental, PTO

Re-posted 17 days ago


Job description

Data Scientist

WHAT'S IN IT FOR YOU 

Benefits:

Compensation: $88,000 - $121,000
Annual Performance-Based Incentive Bonus 
5% RRSP match 
Stock purchase plan 
Starting 3 weeks of vacation 
Benefits package (health and dental) + $600 health spending account 
Half-Day Fridays 
Continuous learning and career growth with global mobility opportunities. 
A chance to contribute to something bigger - advancing the future of healthcare through automation. 

Qualifications

QUALIFICATIONS:

Education
•    A post-secondary engineering degree, diploma or equivalent in a quantitative field (Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial intelligence, Engineering)
•    A Master’s degree is considered beneficial.

Experience
•    Strong experience with the deployment, configuration, and operationalization of Databricks environments, including workspace architecture, cluster management, CI/CD integration, security, governance, and enterprise-scale administration.
•    Experienced in building and managing modern data pipelines and lakehouse architectures using Delta Lake, Delta Live Tables, Structured Streaming, Workflows, medallion architectures (Bronze/Silver/Gold), and real-time/batch ingestion frameworks.
•    Deep understanding of Databricks ecosystem components including Unity Catalog, data lineage, RBAC, monitoring/observability, cost optimization, ML/AI enablement, model serving, and secure enterprise data collaboration through Clean Rooms. 
•    Proven experience integrating Databricks with enterprise cloud and industrial data ecosystems, including Kafka, SQL databases, APIs, IoT/OT platforms, and cloud environments such as Azure, AWS, and GCP. 
•    Strong understanding of scalable data engineering, governance, multi-tenant architectures, and enterprise data platform strategies supporting analytics, AI, and operational intelligence initiatives.
•    Proficiency in programming languages like Python, R, or Java
•    Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy)
•    Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
•    Experience with databases (SQL, Influx)
•    Knowledge of data warehousing and ETL processes
•    Familiarity with tools like Hadoop, Spark, or Kafka
•    Experience with cloud services such as AWS, Google Cloud, or Azure
•    Understanding of software engineering principles and best practices
•    Experience with version control systems (e.g., Git)
•    Ability to design and implement efficient algorithms and solutions
•    Demonstrated experience in deploying machine learning models to production
•    Experience with data visualization tools and techniques
•    Strong analytical and communication skills
•    Ability to work collaboratively in a team environment
•    Ability to communicate effectively, both orally and in writing
•    A self-starter with the ability to work as part of a team in a fast paced environment with minimal supervision
•    In addition, the following is considered not necessary but beneficial:
o    Experience with Agile development practices
o    Understanding of automation mechanical, electrical and control systems
o    Understanding of machine operation, maintenance, service and troubleshooting
o    Understanding of Machine Vision systems and solutions
o    Understanding of PLCs and PLC communication
o    Exposure and understanding of business intelligence

H&S

HEALTH, SAFETY, AND ENVIRONMENTAL: 

•    All employees have the responsibility to work in a safe manner and report any health, safety or environmental concern to their manager or supervisor in a timely manner. 
•    Work in compliance with divisional health, safety and environmental procedures 
•    Refrain from removing or altering safety devices or guarding unless hazardous energies are controlled through lockout-tagout methods 
•    Report any unsafe conditions or unsafe acts • Report defect in any equipment or protective device 
•    Ensure that the required protective equipment is used for the assigned tasks 
•    Attend all required health, safety and environmental training 
•    Report any accidents/incidents to supervisor 
•    Assist in investigating accidents/incidents 
•    Refrain from engaging in any prank, contest, feat of strength, unnecessary running or rough and boisterous conduct

Join our Innovation Center at ATS Corporation - a place to create differentiators with the future in mind. Our Innovation Center is focused on R&D; advancing existing technologies, filling gaps in existing automation products, technologies and processes to give ATS a competitive advantage