Ernst & Young — вакансії
- Consulting / Integrator
- 501-1000
- 1991
- Київ, Львів, London
- FinTech, Legal, Machine Learning / Big Data, Other
Актуальні вакансії компанії
- Java
- C#
- Python
- SQL
- NoSQL
- Git
- SVN
- API
- CI/CD
You will be part of a dynamic team of professionals working for international clients. By cooperating closely with software designers, developers, testers and other specialists you will be able to develop your technical software testing skills and build a better working world.
Your key responsibilities
- Collaboration with team members, testing and implementation project activities to achieve project and client goals
- Completion of assigned tasks on time and regular status reporting
Skills and attributes for success
- Willingness to learn and improve skills in software testing
- Proactivity and responsibility for deliverables
- Openness to new ways of working and various cultures
To qualify for the role, you must have
- Minimum 1-year experience in Test Automation (Java, c#, python)
- Experience in Financial industry
- Experience with database concepts and query languages (SQL , NoSQL)
- Experience with Source Code Management tools (git, SVN)
- Experience with testing API
- Experience with identification of potential application and infrastructure bottlenecks
- Experience with integrating test automation code with test management tools
- Understanding of CI/CD, source code management tools & processes
- English skill enabling to communicate in teams distributed across the world (B2+)
- Ability to occasionally travel to the client’s location
Ideally, you’ll also have
- ISTQB Foundation
- Experience with test management tools (Azure DevOps, jira, CI/CD, TDD, BDD)
- CI/CD
- Java
- React
- Angular
- TypeScript
- Spring Boot
- Maven
- RESTful API
- Spring
- SQL
- AWS
- Azure Cloud
- Agile
- Scrum
Senior Fullstack Developer for Banking & Capital Markets competency gives you the opportunity to interact within international environment and work with the most recognizable and influential players on the market.
The opportunity
As Senior Fullstack Developer in Banking & Capital Markets Consulting you will participate in various streams of financial platforms implementation projects, collaborate with agile team members to achieve project and client goals and be a part of Business Transformations. We are looking for a passionate developer willing to move our projects on the new track! You will use the wide technology stack and have an opportunity to implement new solutions while working with top leaders in their industries. As a part of our global team, you will participate in international projects based on latest data technologies and cloud platforms.
Your key responsibilities
- Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance
- Understand business needs, facilitating and developing process workflow, data requirements, and specifications required to support implementation
- Develop architecture, technical specifications, high level/detailed design and implementation plans from business requirements
- Manage end-to-end systems development cycle from requirements analysis, coding, testing, UAT and maintenance
- Exploring new and emerging technologies as needed by the project
- Mentor the project team in executing the identified projects.
- Willing to travel to the customers locations on need basis.
Skills and attributes for success
- Bachelor’s degree in computer science or related technical discipline.
- A strong problem solver, organized and able to work in a fast-paced environment with delivery focus as part of a global team.
- Excellent communicator who is comfortable engaging stakeholders, both verbally and written.
- Experience in Banking domain.
To qualify for the role, you must have
- 5+ years of relevant experience in software development, including a clear understanding of data structures, algorithms, software design, core programming concepts and experiences with CI/CD and DevSecOps.
- Excellent programming skills in Java.
- Full Stack experience with industry standard frameworks and tools (e.g. React, Angular, TypeScript, Spring Boot, Maven, Web/RESTful service development).
Ideally, you’ll also have
- Certificates proving certain skills: Java, Spring, SQL, AWS or Azure Cloud, Angular, React.
- Experience in agile / scrum methodology.
- Experience in any core banking platforms.
- Good understanding of Agile methodology.
- Experience in client facing roles.
- Experience with mobile app implementation.
What we look for
- Person able to work independently as Senior Fullstack developer.
- Willing to guide other team members.
- Willingness to learn and expand technical skills working in international environment and Agile methodology.
- Generative AI
- Python
- R
- TensorFlow
- PyTorch
- NLP
- BERT
- GPT
- Azure
- AWS
- Docker
- Kubernetes
- Git
We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 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.
To qualify for the role, you must have
- Minimum 4 years of experience in Data Science and Machine Learning.
- In-depth knowledge of machine learning, deep learning, and generative AI techniques.
- Knowledge and experience in Generative AI.
- 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 or AWS.
- 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.
- Track record of driving innovation and staying updated with the latest AI research and advancements.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Ideally, you’ll also have
- Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems
- Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI
- Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines
- 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.
- Python
- R
- PySpark
- SQL
- MLOps
- API
- Azure
- Agile
- Scrum
- Kanban
We are looking for a top-notch technology savvy specialists willing to move our projects on the new track! You will use the most advanced technology stack and have an opportunity to implement new solutions while working with top leaders in their industries. As a part of our global team you will participate in various international projects.
Your key responsibilities
The responsibility for this role is to customize and implement solutions centered around Artificial Intelligence technologies - specifically natural language processing and information extraction. You will support AI solution development tasks, provide feedback to the AI lab researchers.
Skills and attributes for success
- Understanding business needs and fulfilling them with the right solution.
- Participation in a cross-functional initiatives and collaboration across various domains.
- Interacting with data engineers, product/project managers from all over the world.
To qualify for the role, you must have
- 2+ years of experience in the field
- Programming experience in one or more of Python, R, PySpark
- Machine learning domain knowledge in any of the following: classification, regression, clustering, time series, Bayes, vision, natural language processing, large language models, genAI
- AI / ML models evaluation
- Excellent communication skills
- Good command of English
Ideally, you’ll also have
- Basic SQL knowledge or visualization skills or data modelling
- Experience in MLOps or APIs
- Experience with one of the Cloud platforms, preferably Azure
- Experience in using Agile methodologies (Scrum, Kanban, etc.)
- Data lake
- ETL
- ELT
- Microsoft Azure
- Azure Synapse
- Snowflake
- Azure Databricks
- CI/CD
EY Belgium Modern Data Platform team supports our clients in defining and rolling out the right data architecture, data platform and infrastructure that support their needs, implement and maintain automated data pipelines, and infuse data through business intelligence and analytics. We are currently looking for a Data Engineer to lead the team and performing business development with other team leaders.
Key Responsibilities
As Data Engineering lead, you will have the following responsibilities:
- Lead clients discussions going from defining the problem, Advising on the solution (Data Architecture, Best practices guidance) and supporting implementation.
- Lead the design, development, and maintenance of efficient data pipelines.
- Create robust data products that leverage cloud Data platforms such Azure Synapse, Snowflake and Databricks
- Use cloud services to build scalable, reliable, and efficient data solutions.
- Help translate data and analytics requirements into data solutions based on the approved technical designs.
- Define the technology stack, best practices, and standards for data engineering and analytics.
- Enable test automation and ensure CI/CD pipelines are in good health.
- Implement monitoring of data applications and track product quality, performance, and stability.
- Carry out effective technical design reviews to ensure that the right architecture patterns are used by the team.
- Optimize and fine-tune data processing workflows for performance and reliability.
- Identify and resolve issues within organizations and processes.
- Educate clients and partners about the data analytics landscape.
- Provide guidance on industry trends, emerging technologies, and best practices.
- Lead a team of Data Engineers to thrive by promoting teamwork, providing guidance, and encouraging skill enhancement.
Skills and Attributes for Success
- Master’s degree in computer science, engineering, mathematics or another relevant subject
- Minimum 5+ years’ experience in Data Engineering
- Experience with batch and real-time processing frameworks.
- Expertise in proactive performance monitoring, conducting data quality testing, and troubleshooting performance issues of complex warehouse data tables.
- Experience in assembling data from multiple sources and analyzing and modeling complex datasets.
- Hands-on Experience with production Cloud / DevOps environments and Data Lake, Data transformation, ETL/ELT, and other data concepts
- Practical knowledge of cloud possibilities and limitations in areas like distributed systems, load balancing, networking, massive data storage, and security.
- Solid Experience of leveraging Microsoft Azure ecosystem to manage the development and maintenance of cloud platform operations.
- Understanding of data architecture concepts such as data modeling, Big Data storage, Lambda architecture, data vault, and dimensional modeling, Data Fabric and Data Mesh is nice to have.
- Excellent analytical skills and problem solver
- Strong communicator who understands team dynamics, able to support where needed and lead when asked.
- Experience in leading and coaching technical teams.
- Fluent in Dutch and/or French, proficient business English
Переваги для співробітників Ernst & Young
- Team buildings
- Велика стабільна компанія
- Гнучкий графік роботи
- Медичне страхування
- Освітні програми, курси
- Регулярний перегляд зарплатні
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