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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 and technology innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by transforming businesses with cutting-edge data engineering.
- Qualifications: Degree in a relevant field and experience with data pipelines and cloud platforms.
- Other info: Collaborative environment with a focus on innovation and career development.
The predicted salary is between 43200 - 72000 £ per year.
Location: Belfast or Derry/Londonderry
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.
- 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 (e.g., 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: AWS Certified Data Analytics – Specialty, SnowPro Advanced: Data Engineer.
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 Senior Consultant, Data Engineer, AI&Data, UKI in Belfast
✨Tip Number 1
Network like a pro! Reach out to current or former employees at EY through LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills in interviews! Prepare to discuss specific projects where you've designed and built data pipelines. Use real examples to demonstrate how you tackled challenges and delivered results.
✨Tip Number 3
Stay updated on the latest tech trends! Brush up on cloud platforms like Azure and AWS, and be ready to talk about how you've used them in your work. This shows you're not just skilled but also passionate about your field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team at EY and making an impact.
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 is tailored to the Data Engineer Senior Consultant role. Highlight your hands-on experience with data pipelines and cloud platforms, as well as any relevant projects that showcase your skills in AI and analytics.
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. Don’t forget to mention specific technologies you’ve worked with that are relevant to the role.
Showcase Your Soft Skills: While technical skills are crucial, don’t overlook the importance of soft skills. We love team players who can communicate effectively and tell a story with data. Share examples of how you've collaborated with others to solve complex problems.
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves!
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 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 implemented data pipelines or optimised data storage solutions, and be ready to explain your thought process.
✨Collaborate and Communicate
Since this role involves working with AI engineers and data scientists, practice articulating your ideas clearly. Be prepared to discuss how you’ve collaborated with cross-functional teams in the past and how you can contribute to integrated solutions.
✨Understand the Business Impact
Research EY’s focus on building a better working world and think about how your work as a Data Engineer can contribute to that mission. Be ready to discuss how your technical skills translate into business value and how you ensure data quality and governance.
