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.
- Other info: Collaborative environment with diverse teams and excellent career advancement.
- Why this job: Make a real impact by transforming businesses with cutting-edge data solutions.
- Qualifications: Degree in a relevant field and experience with data engineering tools.
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 Société d'Avocats
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 us insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about data pipelines, ETL processes, and any relevant tools you've used. We want to see that you're not just a paper tiger!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss specific challenges you've faced in data engineering and how you tackled them. We love seeing candidates who can think on their feet!
✨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 us you’re genuinely interested in joining the team at EY.
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 highlight your programming skills in Python and SQL, as well as your familiarity with data engineering libraries. Mention any certifications you have, as they can really set you apart from other candidates.
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 Société d'Avocats
✨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 solutions.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some real-world business problems during the interview. Think of examples where you've used your analytical mindset to solve complex issues. Highlight how you collaborated with teams to deliver integrated solutions that added value to the business.
✨Communicate Clearly and Effectively
Since consulting is a big part of this role, practice your storytelling skills with data. Be ready to explain technical concepts in a way that’s easy to understand for non-technical stakeholders. This will show that you can bridge the gap between data engineering and business needs.
✨Get Familiar with Cloud Platforms
As cloud platforms are crucial for this role, make sure you’re comfortable discussing your experience with Azure, AWS, or GCP. Be prepared to talk about how you’ve optimised data storage and processing for performance and scalability in these environments.
