The opportunity
This is a rapidly growing area, so you will have plenty of opportunity to spread your wings and develop your skill set to keep up with the ever‑growing demands of the digital landscape. Our Data Services Group team helps apply cutting‑edge technology and techniques to bring solutions to our clients. As part of that, you’ll sit side‑by‑side with clients and diverse teams from EY and we’ll look to you to provide our clients with a unique business perspective on how they must continue to innovate and remain competitive in this ever‑changing industry. We are seeking individuals with significant client‑side and people‑management experience, who have gained project and technology delivery experience within large recognised organisations.
Your key responsibilities
- Participate in presentations and proposals for medium complex projects or elements of highly complex projects.
- Logical and physical data modelling – design, develop and maintain data pipelines and models.
- Assist in data modelling and design reviews, striving for improved usability and efficiency.
- Implement code for data extraction and basic transformations.
- Validate data quality and maintain source control and versioning.
- Contribute to data tool development and platform monitoring.
- Write SQL scripts and stored procedures, optimise and tune queries for performance and efficiency.
- Design, implement and maintain data security and access controls.
- Troubleshoot and resolve data‑related issues.
- Act as Agile manager and scrum master, maintaining roadmap, tasks, and ensuring everyone on the team is working toward a clear goal.
To qualify for the role, you must have
- 5+ years experience in business analytics, data science, software development, data modelling or data engineering.
- Good understanding of scripting.
- Excellent SQL, preferably T‑SQL, development skills.
- Experience in data wrangling, standard data cleansing in various formats, including CSVs and structured tables.
- Good understanding of Microsoft BI toolset, including O365 tools and PowerPlatform (PowerApps/Power Automate/Power BI).
- Good understanding of Azure cloud ETL toolset, including Azure SQL Server, Azure Data Factory, Datalake.
- Familiarity with cloud technologies including Microsoft Azure Cloud infrastructure, data store connections, cloud functions concepts.
- Experience in programming languages like Python, Java, or C#.
- Experience in cloud data platforms like Snowflake, Databricks or Azure Synapse.
- Good understanding of Data Modelling techniques.
Ideally, you’ll also have
- Relevant academic background.
- Participation in the open‑source community.
- Expertise in automation and/or digital transformation.
- Certification in MS Azure or AWS Cloud data engineering or similar track.
- Understanding of the Software Development Life Cycle, DevOps and MLOps.
- Strong skills in one object‑oriented language.
- Excellent presentation skills.
- Understanding of the application of project management and agile methodologies.
What we look for
We’re interested in candidates with a genuine creative vision and the confidence to make it happen. You can expect plenty of autonomy in this role, so you’ll also need the ability to take initiative and seek out opportunities to improve our current relationships and processes. If you’re serious about auditing and ready to take on some of our clients’ most complex issues, this role is for you.
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.
Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable toward our goal of building a better working world.
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