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For Companies At a Glance
- Tasks: Design and build data pipelines for advanced analytics and AI-driven solutions.
- Company: Join EY, a global leader in consulting and technology.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make an impact by transforming businesses with cutting-edge data engineering.
- Qualifications: Degree in a relevant field and experience with data engineering tools.
- Other info: Collaborative environment with diverse teams and exciting career paths.
The predicted salary is between 48000 - 84000 £ per year.
Location: London
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.
- 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.
Senior Consultant, Data Engineer, AI&Data, UKI, London 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, London
✨Tip Number 1
Network like a pro! Reach out to current employees at EY or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss your experience with data pipelines and cloud platforms. Practice explaining complex concepts in simple terms – it shows you really know your stuff!
✨Tip Number 3
Showcase your projects! If you've worked on any cool data engineering projects, be ready to talk about them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Senior Consultant, Data Engineer, AI&Data, UKI, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Consultant, Data Engineer. Highlight your experience with data pipelines, cloud platforms, and any relevant projects that showcase your skills in AI and data engineering.
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 specific about your achievements and how they relate to the job.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in Python, SQL, and any data engineering tools you’ve used. We want to see your hands-on experience, so include examples of how you've built or optimised data solutions in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive 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 tools to build and maintain data pipelines in your previous roles.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex business problems you've solved using data engineering. Think about the challenges you faced, the solutions you implemented, and the impact they had on the business. This will demonstrate your analytical mindset and ability to deliver results.
✨Collaborate and Communicate
Since this role involves working with AI engineers and data scientists, be ready to discuss how you’ve collaborated with cross-functional teams in the past. Highlight your communication skills and how you can translate technical jargon into insights that stakeholders can understand.
✨Understand the Business Context
Research EY’s focus areas and think about how your data engineering expertise can contribute to their goals. Be prepared to discuss how you can design data solutions that not only meet technical requirements but also drive business value across various domains like finance and supply chain.
