Engineering Consultant jobs

Your key responsibilities

You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving growth across financial services.

Skills and attributes for success

• Fostering an innovative and inclusive team-oriented work environment
• Working in diverse teams of professionals with different backgrounds
• Demonstrating in-depth technical capabilities and professional knowledge
• Contributing to thought leadership through white papers, point of views, and proof of concepts
• Working in an entrepreneurial environment to pave your own career path
• Ability to meet deadlines, own deliverables and contribute to project delivery

To qualify for the role, you must have

• Undergraduate or Master’s degree in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics).
• At least 2 to 5 years of related work experience in banking, capital markets, insurance, or asset management domain
• Good communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology and business audiences
• Experience working independently, efficiently, and effectively under extreme time constraints and delivering results by critical deadlines
• Strong analytical and problem-solving skills
• Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
• Proven track record of consistently meeting deadlines, and provide reporting and business recommendations in a dynamic environment
• Good leadership and teaming skills
• Strong organizational and time-management skills
• Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn
• A willingness and ability to travel to meet client needs; travel is estimated at 60%
• Valid Passport

DAE Specific

• Ability to understand business challenges and address remediations through data architecture and engineering solutions.
• Must have practical experience assisting clients with development of one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration and Event-driven architecture, preferably focused on financial services.
• Experience development of large data platforms, data warehouses and data lakes, streaming applications, data ingestion, integration, and distribution pipelines.
• Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
• Understanding of traditional data architecture practices (data warehousing, datahub, MDM, ODS etc.) as well transition to Next-Gen platform architectures such as distributed data lake and Data mesh on cloud, etc.
• Practitioner experience in multiple data technologies such as:
• Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake)
• Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components)
• Data integration Tools (Informatica, Talend, etc.)
• Experience with scripting languages: Python, Java, C++, Scala, etc.
• Traditional RDBMS (Teradata, Netezza, MS SQL Server, Oracle, MySQL, PostgreSQL)
• MPP (Snowflake, BigQuery, AWS Redshift etc.)
• NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch)
• Streaming Platform and Applications (Spark streaming, Kafka, Storm, etc.)
• Experience with data pipeline and workflow management tools (Airflow, etc.)
• Dev Ops (GitHub, Kubernetes Jenkins, Terraform)
• Data Modeling (Data vault, Star, Snowflake)

Ideally, you’ll also have

• Master’s degree in Business Administration (MBA) or Science (MS) preferred
• Prior consulting experience

What we offer you

As a Senior Manager in Solution Architecture, you will be at the heart of our technology capability, driving the delivery of complex solutions that align with our strategic business objectives. You will manage budgets, oversee project delivery, and ensure performance outcomes while building and maintaining valuable client and commercial relationships.

Your Key Responsibilities

The goal is to support our clients to transform their business through technology. You will be responsible for analyzing, designing, developing, integrating, testing, and deploying new and existing software application programs. You will work with customers technical leads, client executives, and partners to manage and deliver high quality systems with a focus on reliability and excellent customer experience, becoming a trusted advisor to decision makers throughout the engagement.

• Lead the delivery of technical solutions, ensuring quality and managing operational risks.
• Engage actively in delivery leadership, project management, and client interactions across all project phases.
• Travel frequently to meet client needs and project requirements.
• Solve complex problems using proven methods and evaluative criteria.
• Influence policy and procedural changes with potential broad business impact.
• Provide direction and feedback to teams, contributing to performance evaluations and the hiring process.

Skills and attributes for success

• Ability to multitask and work in a fast-paced, collaborative team environment
• Excellent written and oral communication skills; writing, publishing and conference-level presentation skills
• Passionate about delivering commercial software products and platforms to market
• Deeply technical and constantly in a state of learning
• Comfortable providing technical guidance and coaching to other engineers
• Strive to be at the forefront of new modern technologies and bring them within the larger team
• Ensure the successful engineering delivery of assigned projects and putting hands-on if needed
• Work with the engineering team to package best practices and lessons learned into thought leadership and published assets

• Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful project outcomes Proven ability to manage and deliver complex solutions.
• Strong focus on maintaining quality and navigating operational risks.
• Capability to manage budgets and project delivery effectively.
• Experience in building and managing client and commercial relationships.
• Ability to travel as required for client engagements and project needs.

To qualify for the role you must have

• A Bachelor’s degree, with a preference for a Master’s degree.
• A minimum of 5 to 7 years of relevant experience building successful production scalable software systems preferred.
• Programming languages: Extensive years of experience with Java, C#, or .NET
• Frameworks: Extensive years of experience with Spring Boot, .Net or .Net Core
• A solid grounding in Computer Science fundamentals.
• Ability to communciate in written and spoken form with clients about business needs and translate that into a technical solution.
• Excellent knowledge of software design and system architecture.
• High quality organizational and leadership skills
• Outstanding consulting, communication, and presentation abilities.
• A team player possessing strong communication skills with staff at all levels.
• Self-skilled and quick learner, regardless of the languages and technologies used.
• Analytical mind with problem-solving aptitude.
• Experience building large scale distributed systems with cloud native technologies
• Proficiency in cloud computing, cybersecurity, and data architecture.
• Strong business skills including relationship management, commercial awareness, and communication.
• Critical thinking and the ability to drive outcomes.
• Emotional agility, leading teams, and managing change.

Ideally, you’ll also have

• Desire to be a full-stack engineer
• Ability to communicate clearly and efficiently with a variety of audiences including developers, clients, customers, partners and executives
• Ability to be fearless in getting “hands-on” with technology and execution
• Strong understanding of modern software engineering processes
• Deep understanding and interest in cloud and distributed systems architectures
• Comfortable with ambiguity with a drive for clarity
• Experience in leading and growing technical talent (for software engineering managers)
• A strong ability to adapt to changing technology landscapes and stay ahead of industry trends.
• Exceptional interpersonal skills to foster team collaboration and client trust.
• A proactive approach to problem-solving and decision-making.
• Experience in leading diverse teams in dynamic environments.

AI/Machine Learning Engineer, Senior Consultant

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

As a Senior AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.

Your key responsibilities

In this role, you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will spend your time on key responsibilities that include:

• Researching and implementing scalable AI systems that meet business requirements.
• Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
• Monitoring and optimizing learning processes to improve high-performance models.
• This position may have travel requirements as needed to engage with external clients regularly.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential.

This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

• Strong analytical and decision-making skills to guide project direction.
• Proven experience in project management and tracking deliverable completion.
• Ability to build and maintain relationships with clients and team members.
• Excellent communication skills to convey complex ideas effectively.

qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).
• 3-6 years of full-time working experience in AI and/or Machine Learning
• Strong skills in Python
• Ability to collaborate and communicate effectively with diverse, hybrid and global teams
• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform
• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch
• Experience with natural language processing and deep learning
• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation
• Experience with model retraining and feedback loop methodologies
• Experience with model and solution monitoring and reporting
• Understanding of data structures, data modelling, and software engineering best practices
• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

Ideally, you’ll also have

• Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field
• Experience in hybrid collaboration and emotional agility
• A track record of working with diverse teams to drive outcomes through complex problem-solving
• Knowledge of sustainability practices in technology
• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
• Experience fine-tuning Generative AI models
• Experience with image processing techniques and/or speech and audio processing and analysis