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For Companies At a Glance
- Tasks: Design and optimise data solutions for advanced analytics and AI-driven transformations.
- Company: Join EY, a global leader in consulting and technology.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex business problems with data.
- Qualifications: Degree in a relevant field and experience with data pipelines and cloud platforms.
- Other info: Collaborative environment with diverse teams and excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Location: Belfast
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Data Engineer Senior Consultant – Job Specification
Position Overview
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.
- Proven experience building and maintaining large‑scale data pipelines using tools such as Databricks, Azure Data Factory, Snowflake, or similar.
- Strong programming skills in Python and SQL, with proficiency in data engineering libraries (pandas, PySpark, dbt).
- Deep 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: AWS Certified Data Analytics – Specialty, SnowPro Advanced: Data Engineer.
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
(INV) Senior Consultant, Data Engineer, AI&Data, UKI in Belfast employer: Ernst & Young Advisory Services Sdn Bhd
Contact Detail:
Ernst & Young Advisory Services Sdn Bhd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (INV) Senior Consultant, Data Engineer, AI&Data, UKI in Belfast
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and showcasing your skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Don’t forget to tailor your pitch! When you get the chance to speak with potential employers, make sure to highlight how your experience aligns with their needs. We want to see you shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team at EY.
We think you need these skills to ace (INV) Senior Consultant, Data Engineer, AI&Data, UKI in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer Senior Consultant role. Highlight your hands-on experience with data solutions, cloud platforms, and any relevant projects that showcase your skills in building scalable data pipelines.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background aligns with our mission at EY. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to highlight your programming skills in Python and SQL, as well as your experience with tools like Databricks and Snowflake. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to our recruitment team. Plus, it shows you’re serious about joining us at EY!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨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 tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex data problems you've solved. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical mindset and attention to detail.
✨Understand the Business Impact
Be ready to discuss how your data engineering solutions have driven business value in previous roles. Think about how you can translate technical jargon into business terms, as this will show your consulting skills and ability to communicate effectively.
✨Collaborate and Communicate
Since this role involves working with AI engineers and data scientists, prepare to talk about your experience in collaborative environments. Highlight any instances where you’ve successfully communicated insights or worked on integrated solutions, as teamwork is key in this position.
