Data Engineer - SAP Data Analytics, Omnia AI

Job Type:Permanent
Reference code:104722
Primary Location:Multiple Locations, Canada
All Available Locations:Montreal, QC; Calgary, AB; Ottawa, ON; Toronto, ON; Vancouver, BC

Our Purpose

At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.
By living our Purpose, we will make an impact that matters.

• Be encouraged to deepen your technical skills...whatever those may be.
• Have many careers in one Firm.
• Partner with clients to solve their most complex problems

You have been combining your knowledge of SAP with your passion for analytics and advanced Data Management?You want to build solutions that will allow SAP customers to go further, by combining the best of the existing Data solutions (AI/ML/ETL/Data lakes...) and SAP solutions?Then we have an opportunity waiting for you!

What will your typical day look like?

As a Data Engineer - SAP Analytics within our Omnia AI practice, you will be a team player to a portfolio of Deloitte's Omnia AI SAP engagements (projects). You will have the opportunity to be involved in the full life-cycle over AI projects, which includes contributing in proposal development and pursuit assistance, project delivery, and internal projects aiming to combine the best of the SAP portfolio and top data management applications.

You will be able to work on the largest and most advanced SAP projects on the market : in April, Deloitte has received four Pinnacle Awards, including large enterprise Partner of the Year for SAP S/4HANA, Partner of the Year for Delivery Excellence and Gartner Data & Analytics Service Provider leader.

Specifically, you will bring your expertise to SAP customers who want to transform their company into a data-driven organization. You will be able to leverage all the existing assets created by Deloitte around SAP and AI applications, and combine them with your knowledge to build perfectly tailored applications for each customer. Also, work with high profile clients on a variety of Canadian and international engagements, including opportunity to travel across Canada and internationally (as needed).

About the team

Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client's transformative journey with disciplined focus on business outcomes.

Our Data Modernization & Analytics team helps clients design and implement the data platform architectures - be it in the cloud or on-premise - required to enable cutting-edge AI solutions. We work closely with the Omnia AI Strategy, AI Data Science and AI Factory (custom developed AI assets) teams to drive successful business outcomes. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes. To support our continued growth, we are looking to add many team players with hands-on work experience ideally in the data, analytics and/or AI domains.

Enough about us, let's talk about you

You are someone with:
• Strong interest to bring Artificial Intelligence and Advanced Analytics to SAP applications
• A good SAP ERP or S/4HANA functional background (FICO, SD, MM, ...)
• A good understanding of the SAP ecosystem (SAP ERP, SAP S/4HANA, SAP HANA, SAP BW, SAP Cloud Platform...)
• 2+ years of experience in Data Modeling and ETL processes within ERP systems & Modern Analytic platforms: data lake, data warehouse with SAP BW, SAP BI, SAP SAC or Embedded Analytics in SAP S/4HANA
• An experience writing SQL queries or python scripts, extracting and importing disparate data from source systems to Analytics Platforms.
• Team player attitude
• Superior communication skills, intellectual curiosity, and strong analytical skills;
• Undergraduate studies in Business/Engineering/Mathematics/Computer Science; postgraduate studies in Computer Science or Supply Chain related specializations advantageous
• Projects experiences with the following would also be an asset: Azure Data lakes, Snowflake, Databricks and Agile development methods in data-oriented projects
• Bilingual (English / French) is a strong asset

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.
We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
You shape how we make impact.
Diverse perspectives and life experiences make us better. Whoever you are and wherever you're from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.
Be the leader you want to be
Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.
We are uniquely able to offer you new challenges and roles - and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships - between leaders and their people, the firm and its people, peers, and within in our communities.

The next step is yours

At Deloitte, we are all about doing business inclusively - that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan , Reconciliation Action Plan and the BlackNorth Initiative .
We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We'd love to hear from you!
By applying to this job you will be assessed against the Deloitte Global Talent Standards. We've designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

Job Segment: SAP, ERP, Supply Chain, Computer Science, Data Modeler, Technology, Operations, Data

Category

Information Technology