Senior Consultant, Data Engineer, AI&Data, UKI
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (38.0%).
Occupation Type
IT business analysts, architects and systems designers
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,900
(£28.15 per hour)
Occupation rate applies
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Description
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
Location: Belfast or Derry/Londonderry
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
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
Location: Belfast or Derry/Londonderry
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
- 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)
- 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.
- 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.
- Certifications such as:
- Databricks Certified Data Engineer Professional
- Azure Data Engineer Associate
- AWS Certified Data Analytics – Specialty
EY | Building a better working world
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.