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Data and AI Solutions Analyst

Data and AI Solutions Analyst

Ernst & Young Advisory Services Sdn BhdWarszawa, Województwo mazowieckie, Polska
30+ days ago
Job description

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Overview

The Technology Consulting team works with world’s best-known large domestic and global financial institutions, broker-dealers, foreign banking organizations, asset management and insurance companies, who trust us to assist them with large-scale transformation program delivery challenges. This is an opportunity to be part of a fast-growing Data&AI team focused on cutting edge technologies, including GenAI / LLMs, with plenty of autonomy and variety in this role. We are looking for dynamic technical practitioners who are willing to develop intensively in the fastest growing technological sector and take up new opportunities in a multinational work environment.

You will contribute by providing exceptional subject matter expertise and solving complex problems to make a difference for our Clients. Colleagues and Clients from diverse backgrounds will look to you first for answers, so you’ll be a high-profile contact when it comes to resolving complex issues. As you expand your knowledge and experience, you’ll become a credible advisor, influencing Clients and engagement teams on resolutions that will impact entire industries. We are looking for candidates who will strengthen our Technology Solutions Delivery Team in Poland. We welcome skilled data engineers willing to contribute to the Data&AI team in designing, developing, and implementing data solutions. We will appreciate when you are willing to take initiative and seek opportunities to grow a data engineering team as well as, in defining and enforcing data engineering best practices. If you’re serious about progressing and ready to solve our clients’ most complex issues, this role is for you.

Responsibilities

  • Designing and building new functionalities and solutions to client use cases, utilizing your extensive experience in Data&AI Cloud technologies (e.g., Azure OpenAI, Databricks, Microsoft Fabric, etc.)
  • Building AI solutions and advanced analytics platforms
  • Data modeling, mapping and integration between source and target systems
  • Acting as Subject Matter Expert in Data&AI area
  • Defining and estimating the scope of work needed for the implementation of data systems
  • Gathering, documenting, and validating business requirements for Data&AI Solutions
  • Collaborating, supporting and mentoring other team members
  • EY.AI : Augmented by artificial intelligence, with training sessions and EYQ virtual assistant to enhance analyses, insights and innovative ideas

Our requirements

  • Very good English language in verbal and written communication
  • Willingness to develop your career in Data&AI area
  • Excellent collaboration skills to interact with teammates and other stakeholders
  • Ability to plan, track, and report the status of the deliverables
  • At least a bachelor’s degree, preferably in engineering, computer science, or similar
  • 2-6 years of experience in building Data&AI solutions including data engineering, optimizations, modelling, pipelines, etc.
  • Coding and development skills in programming languages (e.g., Python, PySpark + SQL)
  • Experience implementing production-level deployments at an enterprise scale, understanding of DevOps / DataOps principles, working knowledge of Git
  • Working knowledge of data visualization / reporting tools such as PowerBI / Fabric
  • Experience in building applications using LLMs (foundation models, APIs, frameworks, prompt engineering, and techniques)
  • Experience in building modern application architecture (Microservices, REST API, Kubernetes containers)
  • Proficiency in working in an Agile environment
  • Additional Assets

  • Experience in large, international Data solution implementation programs
  • Experience and knowledge of building data analytics solutions using technologies like Fabric, Databricks, Snowflake, etc.
  • Experience with JIRA, Confluence, or Azure DevOps or similar work tracking tools
  • Knowledge of Data Governance and Data Quality concepts and standards
  • Knowledge of GenAI, LLMs and ML technologies
  • Working experience with NoSQL, Graph database solutions
  • What we offer

  • Professional and financial support in acquiring recognized qualifications and certifications
  • Udemy for Business - access to more than 3,000 online training courses
  • Go Fluent - language courses
  • EY Badges - global certification of your competencies and the opportunity to earn an MBA title from a prestigious university
  • Career Counselor - a dedicated advisor to support your career development at EY
  • EY Wellbeing - program offering access to Wellbee psycho-educational platform, health care package with additional preventive screenings, life insurance, tickets, sports cards and many other benefits
  • About EY

    We are a global consulting firm - helping businesses, organisations and communities make the most of their potential. Our audit, consulting, legal, strategy, tax and transaction teams ask the non-obvious questions to find new answers to the complex challenges facing the world today.

    We employ more than 390,000 exceptional people in over 150 countries around the world. In Poland there are over 7,000 of us, working in : Warsaw, Gdansk, Katowice, Krakow, Lodz, Poznan, Rzeszow and Wroclaw.

    We create amazing things together every day. We have the people, the development path and the training to help you grow fast, gaining experience on successive projects.

    We care about the environment - not just the business. As part of our plan, we have reduced our global greenhouse gas emissions in fiscal 2023 by 43% from a 2019 baseline.

    EY is an equal opportunity employer, we value and promote diversity in the knowledge and experience of our community. We operate the 'Level Up Without Barriers' programme, which supports employees with disabilities to achieve their career ambitions and dreams.

    EY provides all applicants with equal opportunities in the recruitment process, regardless of gender, age, race, religion, sexual orientation, national origin, disability or any other legally protected basis, in accordance with applicable law.

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    Data Analyst • Warszawa, Województwo mazowieckie, Polska

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