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Data Engineer with banking

As a Data Engineer, You will be responsible for the creation, schedule and optimization of the data processing pipelines using Apache Spark and Apache Airflow deployed on our data analytics platform.

Your key responsibilities

• Create, build and deploy data pipelines that clean and process data for analysis
• Build reusable component pipelines that can be assembled for more complex pipelines
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• Work with structured and unstructured data sets
• Work with QA to develop an automation test strategy for data pipelines that aligns with the platform’s architecture

Skills and attributes for success

• Minimum 3 years hands-on experience building complex data pipelines
• Strong experience in data processing and optimization using Apache Spark
• Good knowledge of data manipulation and transformation
• Experience with Apache Airflow, Python, SQL
• Deployment and provisioning automation tools (e.g., Docker, Kubernetes, CI/CD)
• Hands-on experience managing and further developing distributed systems and clusters for both batch as well as streaming data (S3/Spark and/or Kafka/Flink)
• Hands-on experience in training and evaluating ML models
• Experience with Golang
• Experience with monitoring and observability (ELK stack)
• Bash scripting and Linux systems
• Experience with buildpacks
• Security, authentication, and authorisation (LDAP / Kerberos / PAM)
• Experience working in cloud environment (e.g., GCP)

Ideally, you’ll also have

• Experience with data warehousing solutions
• Knowledge of big data tools and technologies
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration skills
• Ability to work independently and as part of a team

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across ten locations – Argentina, China, Hungary, India, the Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

In compliance with the requirements of the Whistleblower Protection Act, our company has established the Procedure for reporting breaches of law and undertaking appropriate follow-up actions. Any misconduct should be reported through the EY Ethics Hotline.

Management Team in an entry-level role. As a member of the team, you will play a crucial role into gain practical experience in resource management while working alongside a dynamic and
1. Assist in resource planning activities, including analyzing project requirements, forecasting
resource needs, and identifying potential gaps or conflicts.
3. Support the scheduling and coordination of resources for projects, ensuring optimal utilization
and alignment with project timelines.
4. Monitor and track resource allocation and utilization, providing regular updates and reports
to leads and project managers.
5. Assist in identifying and resolving resource allocation conflicts, working closely with
stakeholders to find suitable resolutions.
6. Contribute to process improvement initiatives by suggesting and implementing
enhancements to streamline resource management workflows.
7. Stay updated on industry trends and best practices related to resource management, sharing8. Provide administrative support as needed, such as preparing documentation, and maintaining
relevant files and databases.1. Bachelor's degree in Business Administration, Management, or a related field.
2. Strong analytical and problem-solving skills with a keen attention to detail.
3. Excellent organizational and time management abilities to handle multiple tasks and meet4. Effective communication skills, both verbal and written, to interact with team members and
stakeholders at all levels.
5. Proficient in using productivity tools, such as Microsoft Excel, to analyze and present data.independently when required.
7. Proactive attitude and willingness to learn and adapt in a fast-paced and evolving work8. Familiarity with resource management software or tools is a plus.
We offer a supportive work environment, opportunities for professional growth, and a competitive
compensation package. If you are eager to kick-start your career in resource management and
contribute to our organization's success, we invite you to apply for this entry-level position.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Role Overview:

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Your technical responsibilities:

• Contribute to the design and implementation of state-of-the-art AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Minimum 3-7 years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Understanding of data privacy, security, and ethical considerations in AI applications.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Your key responsibilities

As a Senior Tax Staff, you'll be responsible for recommending and implementing tax strategies that align with the client's objectives, corresponding with legal counsel and tax authorities on client issues, assisting with reorganizations, researching compliance and planning issues and reviewing personal, corporate and trust tax returns.

Skills and attributes for success

• Identify planning opportunities and prepare correspondence describing the income tax implications of implementing transactions
• Research client issues that arise from planning or compliance work using a variety of on-line sources
• Liaise with the client’s legal counsel
• Review personal, trust and corporate tax returns
• Liaise with Canada Revenue Agency and relevant provincial ministries on client issues
• Correspond with audit managers, staff and/or clients in answering clients’ specific personal, trust or corporate tax queries or about matters that arise from compliance or planning work
• Prepare tax election forms
• Assist and manage the administration of personal and trust tax compliance seasons

To qualify for the role you must have

• An undergraduate or graduate degree in accounting and / or other appropriate academic major
• 3 – 5 years of relevant tax experience or equivalent experience in business or industry
• A Canadian CPA or CA designation, or a reciprocal designation recognized with the CICA
• Completed or be working towards the In-Depth Tax Course (or equivalent)
• Excellent written and verbal communication skills
• Demonstrated ability to work as part of a team
• Excellent organization and time management skills

Ideally, you’ll also have

• A proactive approach, a high level of commitment, and a be a motivated, driven team player

What we offer

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

• Support and coaching from some of the most engaging colleagues in the industry
• Learning opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

The salary range for this job in British Columbia is $65,500to $108,000. Individual salaries within this range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and work location city.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

In the role of Business PMO Analyst, you will oversee and manage our Business Project Management Office. The ideal candidate will bring a strong background in project management, a deep understanding of the technology sector, and excellent leadership skills. You will drive strategic initiatives across the organization, ensuring that our projects are executed efficiently and effectively while supporting the PMO Lead in achieving overall objectives.

Your key responsibilities

• Project Oversight:
  • Oversee the allocation management and overall projects within the team.
  • Ensure timely completion of projects while adhering to scope and budget constraints.
• Governance and Compliance:
  • Establish and maintain project governance frameworks and methodologies.
  • Ensure adherence to organizational policies and standards.
• Resource Management:
  • Collaborate with department heads to effectively allocate resources across projects.
  • Monitor resource utilization and provide recommendations for optimization.
• Stakeholder Engagement:
  • Serve as the primary point of contact for internal stakeholders.
  • Facilitate communication between project teams and senior management.
• Performance Tracking:
  • Develop and implement project performance metrics and KPIs.
  • Regularly report project status, risks, and issues to senior management.
• Risk Management:
  • Identify potential project risks and formulate mitigation strategies.
  • Conduct regular risk assessments and ensure appropriate action plans are established.
• Continuous Improvement:
  • Foster a culture of continuous improvement within the PMO.
  • Identify opportunities for process enhancements and implement best practices.
• Training and Development:
  • Mentor and train project managers and team members on learning and development strategies, building execution plans.
  • Organize workshops and training sessions to enhance project management skills within the organization.
• Reporting and Documentation:
  • Maintain comprehensive process documentation, ensuring all project artifacts are current.
  • Prepare and present project reports to senior leadership.

Additional Responsibilities:

• Assist in the development and maintenance of project management tools and templates.
• Support the PMO Lead in strategic planning and resource allocation decisions.
• Analyse project data to identify trends and provide insights for decision-making.
• Coordinate and schedule project meetings, ensuring effective communication and follow-up on action items.
• Support change management initiatives by assessing impacts and communicating changes to stakeholders.
• Contribute to the development of training materials and resources for project management best practices.
• Participate in cross-functional initiatives to enhance collaboration and drive organizational objectives.

Skills and attributes for success

• Strong understanding of project management methodologies and frameworks.
• Proven experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to scope and budget.
• Proficient in resource allocation and management, with the ability to optimize utilization across projects.
• Excellent knowledge of governance and compliance standards within project management.
• Familiarity with performance metrics and KPIs to track project success and areas for improvement.
• Strong analytical skills to identify project risks and develop effective mitigation strategies.
• Experience in stakeholder engagement and communication, serving as a primary point of contact for internal stakeholders.
• Ability to facilitate cross-functional collaboration and drive initiatives that align with organizational objectives.
• Knowledge of project management tools and software, such as JIRA, Microsoft Project, or similar platforms.
• Strong understanding of change management principles and their application in project environments.
• Expertise in Microsoft Excel for data analysis, reporting, and project tracking.
• Knowledge of Microsoft Power BI and data visualization techniques to transform complex data into actionable insights and compelling visual reports.
• Proficient in process documentation, preparation of PowerPoint presentations, and creating diagrams using Visio to effectively communicate project information and workflows.
• Excellent business communication skills, both written and verbal.
• Proven leadership abilities, with experience mentoring and training project managers and team members.
• Familiarity with continuous improvement practices and the ability to implement best practices within the PMO.
• Experience in preparing and presenting project reports to senior leadership.
• Willingness to work in shifts and provide on-call support as needed.

To qualify for the role, you must have

• Bachelor’s degree in Business Administration, Project Management, or a related field.
• 6 - 8 years of work experience in project management, preferably within a PMO environment.
• Strong knowledge of Microsoft Excel and advanced data analysis skills.
• Proficiency in project management tools such as Microsoft Project and JIRA.
• Excellent leadership, communication, and interpersonal skills.
• Familiarity with data visualization tools like Power BI for reporting and insights.
• Experience in process documentation and preparation of presentations using PowerPoint and Visio.
• Ability to work independently and with minimal supervision, demonstrating initiative and self-motivation.
• Strong time adaptability skills, with the ability to manage multiple priorities and meet deadlines in a dynamic environment.

What we look for

• An individual with strong commercial acumen, project management expertise, and a passion for continuous learning in a dynamic environment.
• An opportunity to be part of a market-leading, multi-disciplinary team of 1000+ professionals within Technology Consulting, supporting business operations.
• Opportunities to collaborate with the EY GDS TechOps practice globally, engaging with leading businesses across various industries.
• A commitment to fostering a culture of teamwork, innovation, and excellence in project delivery.
• Enthusiasm for leveraging data analysis and visualization tools to drive insights and improve project outcomes.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.