Senior Consultant for EY's AI & Data team

Location: Frederiksberg

Other locations: Primary Location Only

Salary: Competitive

Date: Sep 12, 2024

Job description
Requisition ID: 1539905

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Are you to join our AI & Data team as Data Engineer to help the biggest companies in the Nordics to succeed?

The opportunity
Join our dynamic team at EY, where we blend cutting-edge technology with industry expertise to deliver innovative solutions. We are looking for an experienced Senior Consultant in Data Engineering to help our clients navigate the complex world of data and analytics. We are a very international and diverse team enjoying each other’s company in the professional context as much as on social gatherings.

Your key responsibilities
As a Senior Consultant, you will be designing and implementing robust data pipelines and enabling advanced analytics capabilities. You will work closely with cross-functional teams to translate business needs into technical specifications, creating scalable and sustainable data solutions. We operate in small functional teams where you will have responsibility from early on!

• Design, build, and maintain efficient and reliable data pipelines.

• Develop and optimize data models to support business analytics and intelligence.

• Collaborate with stakeholders to understand data requirements and deliver insights.

• Mentor junior team members and contribute to internal knowledge sharing.

Skills and attributes for success
To qualify for the role you must have

• Degree in Computer Science, Engineering, or related field.

• 3+ years of experience in data engineering with a proven track record.

• Proficiency in SQL, Python, and big data technologies (e.g. Spark).

• Proficiency in ETL tools like Azure Data Factory, DBT or similar

• Experience in one of the following Data Lakehouse / Data Warehouse solutions: Azure Synapse, Databricks, Snowflake.

• Experience with cloud platforms building data lakes (MS Azure, AWS, …).

• Good understanding of ETL/ELT processes, design patterns / frameworks, data modelling, and data architecture.

Ideally, you’ll also have
• Enabling AI solutions through data engineering. I.e. data for LLMs, vector data bases

• Data Streaming and Real-time data solution experience is a plus

• Familiarity with machine learning algorithms and data science principles is a plus.

What we look for
• Analytical thinker with a problem-solving attitude.

• Excellent communication and interpersonal skills.

• Agile and adaptable to changing environments.

• Passionate about continuous learning and staying up to date of industry trends.

• Team player who can lead and inspire.

What we offer
• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.

• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Next step?
If you would like to become our new colleague, we would love to hear from you. We will evaluate applications as we receive them, so please send us your application and resume as soon as possible. If you have any questions, you are welcome to contact Florian Jochum at [email protected].

Application deadline: 31/12 2024.

The exceptional EY experience. Shape your future with confidence.
EY | Building a better working world.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

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.