2

Entry Level Aws Data Engineer Jobs in Ontario (NOW HIRING)

JOB TITLE: Lead Data Engineer SALARY: 92,701 - 109,060 LOCATION: Edinburgh, Leeds, Manchester ... Experience with cloud-native data platforms across Azure, AWS, GCP or similar enterprise ...

JOB TITLE: Lead Data Engineer SALARY: 92,701 - 109,060 LOCATION: Edinburgh, Leeds, Manchester ... Experience with cloud-native data platforms across Azure, AWS, GCP or similar enterprise ...

Data Architect

Oakville, ON · Hybrid

CA$165K - CA$210K/yr

... engineers who can run with them, this is your engagement. What You'll Do * Define a managed AWS ... Specify the layered data model - raw to cleansed to curated to a fully safe analytical layer that ...

As a Data Engineer Co-op, you'll gain hands-on experience building and supporting the data systems ... Familiarity with cloud environments (e.g., AWS, Azure, or Google Cloud) * Understanding of large ...

New

As a Data Engineer Co-op, you'll gain hands-on experience building and supporting the data systems ... Familiarity with cloud environments (e.g., AWS, Azure, or Google Cloud) * Understanding of large ...

New

As a Data Engineer Intern, you'll gain hands-on experience building and supporting the data systems ... Familiarity with cloud environments (e.g., AWS, Azure, or Google Cloud) * Understanding of large ...

New

Data Scientist

Cambridge, ON · On-site

CA$600/day

... AWS, and GCP. • Strong understanding of scalable data engineering, governance, multi-tenant architectures, and enterprise data platform strategies supporting analytics, AI, and operational ...

Data Scientist

Markham, ON · On-site

CA$80K - CA$120K/yr

The Opportunity Join an exciting team of data scientists and engineers at the forefront of using ... AWS. * Experience with CI/CD pipelines and modern deployment practices. * Exposure to fraud ...

Data Engineering Consultant

Toronto, ON · On-site

CA$95K - CA$120K/yr

We build solutions across diverse domains - backend, frontend, cloud, mobile, data engineering ... Python, Databricks, PySpark or Spark, SQL, Airflow, Cloud (AWS, GCP, Azure) * Strong communication ...

Showing results 21-40

Entry Level Aws Data Engineer information

What does an entry level AWS data engineer do?

An Entry Level AWS Data Engineer is responsible for helping to design, build, and maintain data pipelines and infrastructure in Amazon Web Services (AWS) environments. They work with data storage tools like Amazon S3, databases such as Amazon RDS or Redshift, and data processing services like AWS Glue or EMR. Their role often involves data extraction, transformation, and loading (ETL), ensuring data is accessible and usable for analytics and business needs. They typically collaborate with data scientists, analysts, and senior engineers while following best practices for cloud security and scalability.

What are the key skills and qualifications needed to thrive as an entry level AWS data engineer?

To thrive as an Entry Level AWS Data Engineer, you need a solid understanding of data structures, SQL, Python or similar programming languages, and a basic grasp of cloud computing concepts, ideally supported by a relevant degree or coursework. Familiarity with AWS services such as S3, Redshift, Glue, and data visualization or ETL tools, along with certifications like AWS Certified Data Analytics – Specialty, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in collaborative, fast-paced environments. These skills and qualifications are crucial for building scalable data solutions, ensuring data quality, and enabling data-driven decision-making for organizations using AWS.

What are some typical projects an entry level AWS data engineer might work on?

As an Entry Level AWS Data Engineer, you may be involved in projects such as building data pipelines, automating data ingestion, or assisting in the migration of on-premises data to AWS cloud services. These projects typically require collaboration with data analysts, senior engineers, and sometimes business stakeholders to ensure that clean, well-structured data is available for reporting and analytics. Your contributions help streamline data flows, improve data quality, and support the team’s ability to make data-driven decisions, providing a strong foundation for future growth and responsibilities.

What is the difference between Entry Level Aws Data Engineer vs Data Analyst?

AspectEntry Level Aws Data EngineerData Analyst
Required CredentialsBasic AWS certifications, SQL, PythonExcel, SQL, basic data visualization tools
Work EnvironmentCloud platforms, data pipelines, ETL processesData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with cloud infrastructureBusiness, marketing, finance sectors

While both roles involve working with data, Entry Level Aws Data Engineers focus on building and maintaining cloud-based data pipelines using AWS tools, whereas Data Analysts interpret data and create reports to support business decisions. The roles often overlap in skills like SQL and basic scripting, but differ in their core responsibilities and work environments.

What are the most commonly searched types of Aws Data Engineer jobs in Ontario?

The most popular types of Aws Data Engineer jobs in Ontario are:

What are popular job titles related to Entry Level Aws Data Engineer jobs in Ontario?

For Entry Level Aws Data Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Entry Level Aws Data Engineer jobs in Ontario look for?

The top searched job categories for Entry Level Aws Data Engineer jobs in Ontario are:

What cities in Ontario are hiring for Entry Level Aws Data Engineer jobs?

Cities in Ontario with the most Entry Level Aws Data Engineer job openings:

Infographic showing various Entry Level Aws Data Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Full-time

Retirement

Re-posted 4 days ago


Key responsibilities

  • Shape and lead the data engineering capability within the Security Data and AI lab.

  • Own scalable data pipelines, define data engineering strategy, and enable production-grade data foundations for AI, machine learning, and analytics.

  • Partner with Security, Cloud, Architecture, and Product teams while mentoring engineers and building a high-performing engineering culture.


Job description

End Date

Wednesday 16 September 2026

Salary Range

92,701 - 109,060

We support flexible working - click here for more information on flexible working options

Flexible Working Options

Hybrid Working, Job Share

Job Description Summary

.

Job Description

JOB TITLE: Lead Data Engineer

SALARY: 92,701 - 109,060

LOCATION: Edinburgh, Leeds, Manchester, Bristol

HOURS: Full time (35 hours)

WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.

What you'll be doing...
At Lloyds Banking Group, we are transforming how we protect our customers, colleagues and services in an increasingly sophisticated threat landscape. The Security Data and AI lab within the Chief Security Office is at the forefront of this transformation - engineering data platforms and AI-driven capabilities that enable intelligent, proactive defence.

We're looking for a Lead Data Engineer to shape and lead the lab's data engineering capability. This is a senior role combining deep technical expertise with leadership, influencing direction and delivering high-impact outcomes across a complex enterprise environment. You'll operate at the intersection of data engineering, security and AI, defining and driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You'll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing engineering culture.

Why Join us?
If you think all banks are the same, you're wrong. We're a pioneering, fast-changing business that's shaping finance as a force for good. If you're after a role where you can have an impact and do the best work of your career, you've just found it

What we're looking for?

  • Proven experience leading technical delivery and mentoring engineers in a senior or lead capacity

  • Strong experience designing, building and operating scalable data platforms and pipelines in complex environments

  • Experience with cloud-native data platforms across Azure, AWS, GCP or similar enterprise environments

  • Deep understanding of data modelling, data quality, metadata, lineage and governance principles

  • Ability to make pragmatic, risk-aware technical decisions balancing resilience, pace and long-term maintainability

  • Experience embedding engineering best practices such as CI/CD, automated testing, observability and version control

  • Strong collaboration skills, working across engineering, security, data science and product teams

And it would be great if you had any of the following...

  • Exposure to MLOps or SMLOps tooling and model lifecycle management

  • Experience supporting AI/ML pipelines, feature engineering or analytics platforms

  • Knowledge of AI governance and secure adoption of generative or agentic AI

  • Experience working in security-focused or regulated environments

  • Familiarity with event-driven or streaming data architectures

This is a place for you...
Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We are committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and launch a dedicated Working with Cancer initiative.

We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health or neurodivergent condition, through the Disability Confident Scheme.

We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers - just let us know what you need.

We also offer a wide-ranging benefits package, which includes...

  • A generous pension contribution of up to 15%

  • An annual bonus award, subject to Group performance

  • Share schemes including free shares

  • Benefits you can adapt to your lifestyle, such as discounted shopping

  • 30 days' holiday, with bank holidays on top

  • A range of wellbeing initiatives and generous parental leave policies

Ready for a career where you'll learn and thrive? Apply today and find out more.

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.

We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.