Data & ML Engineer

We are:

The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000* people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions.

Stronger together!

The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

The value for our clients and our people

For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

You are:

A Data \& ML Engineer experienced in building scalable data platforms and ML pipelines on AWS. Skilled in leveraging services like Kinesis, Glue, Redshift, EMR, Athena, and SageMaker, with strong expertise in Spark, Kafka, and distributed computing. Proficient in Python, Java, and modern ML frameworks, delivering high-performance analytics and integrating machine learning models into enterprise data workflows.

The Work:

There will never be a typical day and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on today’s biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in a variety of roles covering all aspects of Data Engineering including Data Modelling, Integration, Pipeline Development, Quality \& Governance.

Come grow your career in Technology at Accenture!

This role will require 3 days per week at the local Mississauga office or a client site located in the Greater Toronto Area. Preferred hiring locations for this role are Toronto and Mississauga.

Key Responsibilities

Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more.

Help our customers to remove the constraints that prevent them from leveraging their data to develop business insights

Provide experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties

Basic Qualifications

Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field

2-5+ years’ experience of Data platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Kinesis/Kafka/Spark/Storm implementations

2-5+ years’ experience with AWS technology stack

2-5+ years’ experience with analytic solutions applied to the Marketing or Risk needs of enterprises

2-5+ years’ experience understanding of machine learning fundamentals

2-5+ years’ experience in Machine Learning models and implementing them as part of data pipeline

2-5+ years of IT platform implementation experience

2-5+ years’ experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis)

2-5+ years’ experience developing software code in one or more programming languages (Java, JavaScript, Python, etc)

This role will require 3 days per week at the local Mississauga office or a client site located in the Greater Toronto Area. Preferred hiring locations for this role are Toronto and Mississauga.

Preferred Qualifications

Hands on experience working on large-scale data science/data analytics projects

Hands-on experience with Data Analytics technologies such as AWS, Hadoop, Spark, Spark SQL, Mlib or Storm/Samza

Proficiency with at least one of the following languages: C++, Java, Scala or Python

Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras

3+ years experiences developing cloud software services and an understanding of design for scalability, performance and reliability

Ability to prototype and evaluate applications and interaction methodologies

Written and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiences.

Preferred Certification: AWS Machine Learning Specialist

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.

Information on benefits is here.

Role Location Annual Salary Range

British Columbia $61,800 to $167,000