At a Glance
- Tasks: Design and optimise data solutions for advanced analytics and AI-driven transformations.
- Company: Join EY, a global leader in building a better working world.
- Benefits: Competitive salary, diverse teams, and opportunities for career growth.
- Other info: Collaborate with top professionals and work on exciting projects across various industries.
- Why this job: Make a real impact with cutting-edge technology in a dynamic environment.
- Qualifications: Degree in Computer Science or related field; experience with data pipelines and programming.
The predicted salary is between 60000 - 80000 £ per year.
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.
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 (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:
- Databricks Certified Data Engineer Professional
- Azure Data Engineer Associate
- 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 in Belfast employer: EY Studio+ Nederland
At EY, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Senior Consultant in Data Engineering based in Belfast or Derry/Londonderry, you will benefit from extensive professional development opportunities, collaborative teamwork, and the chance to work on cutting-edge AI and data projects that make a real impact. Join us to be part of a global network dedicated to building a better working world while enjoying a supportive environment that values innovation and personal growth.
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 on 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 action! If you’ve got a portfolio of projects or GitHub repos, make sure to highlight them during interviews. It’s a great way to demonstrate your hands-on experience with data pipelines and cloud platforms.
✨Tip Number 3
Prepare for those technical questions! Brush up on your Python, SQL, and data engineering concepts. Practising common interview scenarios can help you feel more confident when discussing your expertise.
✨Tip Number 4
Don’t forget to 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 EY team!
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 experience with data pipelines, cloud platforms, and 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. Be specific about your achievements and how they relate to the job.
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 want to see how you’ve applied these skills in real-world scenarios, so include examples!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at EY Studio+ Nederland
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially around building and optimising data pipelines. Be ready to discuss your hands-on experience with tools like Databricks, Azure Data Factory, and Snowflake. They’ll want to hear about specific projects where you’ve designed and implemented data models or ETL workflows.
✨Showcase Your Collaboration Skills
Since this role involves working closely with AI engineers and data scientists, be prepared to share examples of how you've collaborated in the past. Highlight any successful projects where teamwork led to unlocking business value, and don’t forget to mention your communication skills when presenting data insights.
✨Demonstrate Problem-Solving Abilities
Expect to face some technical challenges during the interview. Practice articulating your problem-solving process clearly. Use the STAR method (Situation, Task, Action, Result) to explain how you tackled complex data issues in previous roles, focusing on your analytical mindset and attention to detail.
✨Get Familiar with Cloud Platforms
As cloud platforms are crucial for this role, make sure you’re well-versed in optimising data storage and processing on Azure, AWS, or GCP. Be ready to discuss your experience with cloud-based solutions and how you’ve ensured data quality and governance throughout the data lifecycle.
