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For Companies At a Glance
- Tasks: Design and build data solutions that drive AI and analytics for diverse industries.
- Company: Join EY, a global leader in consulting with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on career development and cutting-edge technology.
- Why this job: Make an impact by transforming businesses through advanced data engineering.
- Qualifications: Degree in a relevant field and experience with data pipelines and programming.
The predicted salary is between 36000 - 60000 £ per year.
At EY, we are seeking a highly skilled Data Engineer Senior Consultant with hands-on experience designing, building, and optimizing data solutions that enable advanced analytics and AI-driven business transformation. This role requires expertise in modern data engineering practices, cloud platforms, and the ability to deliver robust, scalable data pipelines for diverse business domains such as finance, supply chain, energy, and commercial operations.
Your Client Impact
- Design, develop, and deploy end-to-end data pipelines for complex business problems, supporting analytics, modernising data infrastructure and AI/ML initiatives.
- Design and implement data models, ETL/ELT workflows, and data integration solutions across structured and unstructured sources.
- Collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions that unlock business value.
- Ensure data quality, integrity, and governance throughout the data lifecycle.
- Optimize data storage, retrieval, and processing for performance and scalability on cloud platforms (Azure, AWS, GCP, Databricks, Snowflake).
- Translate business requirements into technical data engineering solutions, including architecture decisions and technology selection.
- Contribute to proposals, technical assessments, and internal knowledge sharing.
- Data preparation, feature engineering, and MLOps activities to collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions.
Essential Qualifications
- Degree or equivalent certification in Computer Science, Data Engineering, Information Systems, Mathematics, or related quantitative field.
Essential Criteria
- Experience building and maintaining data pipelines using platforms such as Databricks, Azure Data Factory, Snowflake, or similar.
- Good programming skills in Python and SQL, with familiarity with data engineering libraries (pandas, PySpark, dbt).
- Solid understanding of data modelling, ETL/ELT processes, and Lakehouse concepts.
- Experience with data quality frameworks, data governance, and compliance requirements.
- Familiarity with version control (Git), CI/CD pipelines, and workflow orchestration tools (Airflow, Prefect).
Soft Skills
- Strong analytical and problem-solving mindset with attention to detail.
- Good team player with effective communication and storytelling with data and insights.
- Consulting skills, including development of presentation decks and client-facing documentation.
Preferred Criteria
- Experience with real-time data processing (Kafka, Kinesis, Azure Event Hub).
- Knowledge of big data storage solutions (Delta Lake, Parquet, Avro).
- Experience with data visualization tools (Power BI, Tableau, Looker).
- Understanding of AI/ML concepts and collaboration with AI teams.
Preferred Qualifications
- Certifications such as: Databricks Certified Data Engineer Professional, Azure Data Engineer Associate, AWS Certified Data Analytics – Specialty, SnowPro Advanced: Data Engineer AI.
Senior Consultant, Data Engineer, AI&Data, UKI in Belfast employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant, Data Engineer, AI&Data, UKI in Belfast
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at EY. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with data pipelines and cloud platforms. Share specific examples of how you've tackled complex problems – it’ll make you stand out!
✨Tailor Your Approach
Before any interview, do your homework on EY and their projects. Tailor your responses to show how your skills in data engineering align with their goals. This shows you're genuinely interested and ready to contribute.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Senior Consultant, Data Engineer, AI&Data, UKI in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with data pipelines, cloud platforms, and any relevant certifications. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for the role. Share specific examples of your past projects and how they relate to the responsibilities outlined in the job description. Let your personality shine through!
Showcase Your Technical Skills: Don’t forget to mention your programming skills in Python and SQL, as well as your familiarity with data engineering libraries. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at EY
✨Know Your Data Engineering Tools
Make sure you’re well-versed in the tools mentioned in the job description, like Databricks, Azure Data Factory, and Snowflake. Brush up on your Python and SQL skills, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex business problems you've solved using data engineering. Think about how you designed and optimised data pipelines and be ready to explain your thought process clearly.
✨Collaboration is Key
Since this role involves working with AI engineers and data scientists, be prepared to discuss your experience collaborating with cross-functional teams. Highlight any successful projects where teamwork led to significant outcomes.
✨Understand the Business Impact
Demonstrate your ability to translate technical solutions into business value. Be ready to discuss how your data engineering work has supported analytics or AI initiatives and contributed to business transformation.