EY

Data Analytics - Data Engineer - Senior Manager

Job description

Data Analytics at EY – Data Engineer | Senior Manager

Data Analytics is one of the most exciting fields in today’s digital world. It offers challenging work, career development and great job satisfaction. EY’s mission is build a better working world by asking better questions and finding better answers – this is what data analytics is all about. What better way to help us achieve our mission then by working with our data science teams as we continue on this journey.

Data Analytics is one of our strategic growth platforms with plans to grow from 150 people today to over 200 in the next 2-3 years. We are transforming our business by embedding analytics in everything we do. We are helping our clients transform their businesses by doing the same, across industry sectors and lines of business. We are growing and so are our people. We are hiring experienced professionals and graduates to work in a variety of roles.


Data Engineering | Senior Manager

Who are we?

Our data analytics team focuses on helping our clients unlock value from their information assets through collaboration with domain experts across assurance, tax, transactions and advisory to embed innovative data analytics solutions in existing services lines.

In response to strong market demand, we are seeking additional individuals to enhance our existing team. This is a fantastic opportunity to contribute to the data analytics team who are changing how we deliver services to our clients.


Role Description:

Helping clients unlock value from their information assets through collaboration with domain experts across assurance, tax, transactions and advisory to embed innovative data analytics solutions in existing services lines through

  • Actively establish, maintain and strengthen internal and external relationships. With guidance from partners, you’ll identify potential business opportunities for EY
  • Drawing on your knowledge and experience, you’ll create innovative commercial insights for clients, adapt methods and practices to fit operational team and cultural needs, and contribute to thought leadership
  • Drive operational efficiency improvements on projects and internal initiatives and will consistently drive projects to completion, and ensure the work is of high quality.
  • Leading teams of varying sizes depending on engagements. The leadership team will look to you to anticipate and identify risks and to escalate issues as appropriate. As an influential member of the team you’ll create a positive learning culture and will coach and counsel junior members of the team and help them develop
  • With guidance from Partners, Directors and Senior Managers, you’ll identify potential business opportunities for EY to incubate or drive new solutions and services


What we look for?

  • Data engineering experience including building data pipelines, data infrastructure design, algorithm development and implementing cloud-based and on-prem data solutions
  • Experience with tools like SQL, Python, MS Azure, Snowflake, etc and strong understanding of data modelling, data quality, modelling, optimisation, data architecture and ETL processes
  • 9+ years of consulting or other relevant industry experience, with 2+ years managing technical data engineering teams
  • Demonstrated ability to supervise and develop others, managing projects, budgets, scope creep, expectations, deliverables, timelines, etc.
  • Strong academic record including a degree /MSc/PhD in either: Mathematics / Statistics / Computer Science / Engineering.
  • Ability to communicate technical information in non-technical language
  • A passion to contribute to the growth of the team
  • Analytically minded and can assimilate and apply new techniques and knowledge quickly to deliver insights and solve problems
  • Simultaneously handle diverse and pressing assignments in sensitive and adversarial situations

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