Data Analytics and AI - Manager - Data Engineer

Job description

Data Analytics & AI – Data Engineering - Manager

General Information

Location: Ireland - Dublin / Cork / Limerick / Galway

Available for Work Visa Sponsorship: Yes

Business Area: EY Data, Analytics & AI Ireland

Contract Type: Full-Time – Permanent

EY exists to build a better working world, we empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets.

This role can be located in our offices across the Republic of Ireland, working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

The Team and the opportunity

As part of our Data Analytics and AI team, the Data Engineer role is pivotal in enabling our clients to derive significant value from their information assets. Through collaboration and domain expertise, our team embeds innovative data analytics solutions into existing business areas, transforming data into strategic assets.

We are looking for a Data Engineer who is passionate about leveraging data to solve complex problems and drive business outcomes. You will play a key role in driving growth by developing new and existing client relationships and delivering first-class customer experience on high-profile engagements.

The Data Analytics and AI team serve as trusted advisors, both practical and innovative, to embed innovative data analytics solutions into existing business areas and transforming data into strategic assets. Working across all industries, you’ll develop your career by communicating creative, strategic goals both

internally and externally. As a senior manager, the opportunity to assess and improve our clients’ reporting

policies and corporate governance processes will impact these ever-challenging areas during transformational and regulatory changes.

Your Key Responsibilities

  • Leading diverse teams with varying skillsets, who use different Data and Analytics technologies.
  • Adapting your leadership style to fit team, client, and cultural needs, they will look to you to anticipate and identify risks and 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.
  • Statistical analysis and modelling tools such as SAS, SPSS, R or similar packages would be preferrable.
  • Data manipulation languages such as SQL.
  • Data visualization software such as Tableau, PowerBI, QlikView or Spotfire.
  • Applying predictive modelling techniques to key business issues faced by our clients.
  • 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.

To qualify for the role, you must have.

  • Strong academic record including a degree /MSc/PhD in: Mathematics / Statistics / Computer Science / Engineering.
  • 5 years of consulting or other relevant industry experience.
  • 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, MS Azure, Snowflake, etc and strong understanding of data modelling, data quality, modelling, optimisation, data architecture and ETL processes.
  • Proficiency in Python, R, and other programming languages used in AI.
  • Experience of deployment and configuration of DevOps pipelines, code repositories, automated testing etc.

Ideally, you will also have

  • The ability to demonstrated strength in data modelling, ETL development, data warehousing/lakes, ability to supervise and develop others, managing projects, budgets, scope creep, expectations, deliverables, and timelines.
  • Be analytically minded and can assimilate and apply new techniques and knowledge quickly to deliver insights and solve problems and communicate technical information in non-technical language.
  • A passion to contribute to the growth of the team.
  • Proficiency in NLP techniques and tools for text analysis.
  • Skills in image processing and computer vision algorithms.
  • Hand-on experience Advanced skills in Python for data manipulation, automation, and building data pipelines.
  • Proficiency in Java or Scala for working with big data tools like Apache Spark
  • Ability to write shell scripts for automating routine tasks and managing data workflows.
  • Hand-on experience building using Orchestration tools such as ADF, SSIS, Airflow etc.
  • Hands-on experience with cloud services, e.g., Azure Databricks, Google Cloud, AWS
  • Hands-on experience in working with Agile methods for software delivery e.g., Scrum, SAFE, Kanban, Lean, TDD and CI/CD
  • It would be advantageous if you had attained data-related cloud certifications in Azure and/or AWS

What We Look For

  • Project management skills: The ability to lead projects and work collaboratively with cross-functional teams.
  • Continuous Learning: Commitment to staying informed about the latest industry trends, tools, and techniques, with a passion for educating and mentoring others.
  • Collaboration: The ability to work closely with cross-functional teams to develop our Databricks platform, ensure it is integrated with our other systems and technologies and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations.
  • Communication: The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making.

What Working At EY Offers

We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings, and a wide range of discounts, offers and promotions. Plus, we offer:

  • Support and coaching from some of the most engaging colleagues around
  • 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.

All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include:

  • Pension
  • Maternity & Paternity leave
  • Discounted health insurance
  • Bike to work Scheme
  • Web Doctor - Free unlimited online GP consultations for you and your family
  • Recognition Awards
  • The purchase of additional annual leave
  • Cash incentives for referrals
  • Hybrid Working
  • Work Mobile
  • Free Gym membership
  • TECH MBA paid by EY
  • Travel Pass
  • Wellness rooms Available in some offices

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

Career Progression

  • When you join EY, you will be supported to ensure that you are enhancing your skills from day one.
  • Continuous learning, where you can develop the mindset and skills to navigate whatever comes next.
  • As you grow and develop here, you’ll discover opportunities to help customise your career journey, so that it’s as unique as you are - success is defined by you, we will provide the tools and flexibility, so you can make a meaningful impact, your way.
  • Transformative leadership, we will give you the insights, coaching and confidence to be the leader the world needs.
  • Diverse and inclusive culture, you will be embraced for who you are and empowered to use your voice to help others find theirs.
  • We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our employees.

About EY

As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

Inclusion & Diversity

We hold a collective commitment to foster an environment where all differences are valued and respected, practices are equitable and everyone experiences a sense of belonging: Inclusion, diversity, and equity are part of who we are at EY. We believe that the highest-performing teams maximize the power of different perspectives and backgrounds. These teams are both diverse and inclusive and are willing to invite and learn from other perspectives. Our ability to include various viewpoints into our mindsets, behaviours and operations is fundamental to driving innovation, building strong relationships, and delivering the best solutions for our clients.

We recognise the strength that comes from having a diverse workforce and building a culture where we support all our people to achieve their potential. You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

As an equal opportunities’ employer, we welcome applications from people of all backgrounds. Reasonable accommodations are offered at every stage of our recruitment process.

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

Join us in building a better working world. That’s Why, EY.

Apply now.

IMPORTANT: Where Agency assistance is required, our Talent Team will engage directly with suppliers. CVs / Profiles should not be shared directly with Hiring Managers. Unsolicited CVs / Profiles supplied to EY by Recruitment Agencies will not be accepted for this role

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