About Scalepex Scalepex is a nearshore partner that empowers businesses to scale efficiently and effectively through exceptional services. With a strong focus on customer success, innovation, and cultural alignment, we support companies in building high-performing teams across industries. At Scalepex, we believe in fostering an environment where our people can thrive, grow their careers, and make a real impact. Job Summary We are looking for a Data Engineer / Senior Data Engineer to design, build, and scale robust data pipelines and analytics solutions. This role combines hands-on development with technical leadership, ensuring high-quality data systems that power business insights and analytics products. You will work across the full data lifecycle—from ingestion and transformation to modeling and delivery—while contributing to architectural decisions and best practices.

1.Job Summary We are looking for an AI transformation lead to design, develop, and deploy AI and analytics solutions using enterprise data extracted from Oracle Fusion Cloud and Oracle Databases. The role focuses on transforming Oracle business data into predictive models, insights, and decision-support tools that add real business value across Finance, HR, Sales, and Operations. The vacancy will be offshore based in favor of Samir Group - KSA 2.Key Responsibilities: Solution Design and Development Design, implement, and maintain AI/ML models (e.g., forecasting, classification, recommendation, NLP) using enterprise data sourced from Oracle Fusion and Oracle DB. Develop robust data pipelines to extract, transform, and load (ETL) data from Oracle Fusion Cloud (ERP, HCM, SCM, CX, Finance) and on-premise/cloud Oracle Databases into AI platforms and analytics environments. Build APIs, microservices, or other service layers to expose AI models to internal systems, portals, and mobile applications. Data and Model Management Perform data preparation, cleansing, and feature engineering to ensure high-quality input for AI models. Evaluate, tune, and retrain models to improve accuracy, performance, and stability. Implement monitoring, logging, and version control for models, datasets, and code. Collaboration and Governance Work closely with business stakeholders (Finance, HR, Sales, Operations, etc.) to translate business problems into AI use cases and technical specifications. Collaborate with DBAs, Oracle functional consultants, and integration teams to ensure end-to-end alignment of AI solutions with existing architecture. Ensure adherence to information security, data privacy, and regulatory requirements in all AI solutions. Documentation and Support Prepare comprehensive technical documentation, including design documents, data dictionaries, and deployment guides. Provide knowledge transfer to operations and support teams and assist in incident analysis related to AI components. 3.Qualifications (Education & Experience) Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related discipline. A master's degree in a relevant field is an advantage. Minimum of 3–7 years of experience in software development, data science, or AI/ML engineering. Proven experience working with Oracle Database (SQL, PL/SQL, performance tuning, views, materialized views). Experience consuming or integrating data from Oracle Fusion Cloud (via REST APIs, reports, or integration tools). 4.Technical Competencies Strong programming skills in Python (preferred) and familiarity with R, Java, or similar languages. Hands-on experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Solid understanding of data modelling, relational databases, and performance optimization. Experience building and deploying RESTful APIs or microservices (e.g., Flask, FastAPI, .NET, or Java frameworks). Familiarity with cloud platforms (OCI, Azure, AWS, or GCP) for AI workloads is an advantage. Knowledge of CI/CD, Git, and DevOps practices for AI/M

The Apex Group was established in Bermuda in 2003 and is now one of the world’s largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. That’s why, at Apex Group, we will do more than simply ‘empower’ you. We will work to supercharge your unique skills and experience. Take the lead and we’ll give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Data Engineer 1. Responsibilities: - Working as part of a squad, delivering through agile methodologies; - Working in collaboration with customers, partners, and peers to identify data requirements; - Helping break down large problems into smaller iterative steps; - Contribute to defining the prioritization of your squad’s backlog; - Build out the modern data platform (data pipelines, data integrations, data preparation, data models, analytical and reporting marts) based on business requirements using agreed design patterns; - Help determine the most appropriate tool, method and design pattern in order to satisfy the requirement; - Proactively suggest improvements where they see issues; - Learn how to prepare our data in order to surface it for use within APIs; - Learn how to Document, support, manage and maintain the modern data platform built within your squad; - Learn how to provide guidance and training to downstream consumers of data on how best to use the data in our platform; - Learn how to support and build new data APIs; - Contribute to evangelizing and educating within Apex about the better use and value of data - Comply with all Apex policies; - Contribute to evangelizing and educating within Apex about the better use and value of data - Comply with all Apex policies; - Any other duty which is instructed directly by the managing directors in accordance with Article 6.2 of the employment agreement. 2. Communication The Senior Data Engineer works in direct contact with the rest of the team members and cooperates, with other officers under the supervision of their Line Manager. 3. Experience and skills: -  2+ years of experience in data engineering; -  Experience with cloud-based data platforms (e.g., Snowflake, Databricks); -  Experience with Data Modelling (dbt); -  Experience in Data Lakes (AWS Lake Formation, Azure Data Lake); -  Experience in ETL/ELT/Pipeline tools (AWS Glue, Azure Data Factory, FiveTran, Stitch); -  Experience with Data orchestration tools (Airflow); -  Knowledge of version control systems (e.g., Git) and CI/CD pipelines; -  Experience in Data Message Bus/Pub Sub systems (AWS SNS & SQS Azure ASQ, Kafka, RabbitMQ); -  Knowledge of Data Programming languages (SQL, Python, Scala, Java); -  Experience in Cloud Workflow Service (AWS Step Functions, Azure Logic Apps, Camuda); -  Experience in interactive Query Services (AWS Athena, Azure DL Analytics); -  Experience in event and schedule management (AWS Lambda Functions, Azure Functions); -  Experience in reporting and visualization tools (Power BI, QuickSight, Mode); -  Excellent communication and interpersonal skills; - -  Critical Thinking and research capabilities; -  Strong problem-solving skills; -  Ability to plan, and manage your own work loads; - -  Work well on own initiative as well as part of a bigger team; - Working knowledge of Agile Software Development Lifecycles. Disclaimer: Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Posting Reason: New Position Location: Main Campus Academic Period: 2026 Spring-Summer Semester Faculty: Faculté d'éducation / Faculty of Education Academic Unit: Études supérieures \\ Graduate Studies (Fac. Education) Course Title: Synthesis Seminar Course Code: EDU 5199 Section: DA10 Course Description: Integration of theoretical knowledge to contribute to educational practice. Start date : 5/4/2026 End date : 7/24/2026 Posting limited to: Professeur à temps-partiel étudiant / Student Part-Time Professor Date Posted (YYYY/MM/DD): 2026/04/21 Applications must be received BEFORE (YYYY/MM/DD): 2026/04/24 Expected Enrolment: 35 Approval date: 2026/04/21 Number of credits: 3 Work Hours: 39 Hourly Rate: Enseignement / Teaching: $239.47 (2024-2025)The academic year starts on September 1 and ends on August 31. These rates do not included vacation pay nor statutory pay. These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification. Course type: C Posting type: Irrégulier / Irregular Language of instruction: Anglais | English Competence in second language: Passive Course Schedule: - - - IN: Asynchronous web-based course Requirements: PhD in education or a field of study related to the course Publications in the field of study within the last 5 years Expertise in this subject area Experienced in e-learning Additional Information and/or Comments: An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law. The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more. The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.