EY INV Senior Consultant Data Engineer AI & UKI 

United Kingdom, Northern Ireland, Belfast 

797550149

Data Engineer Senior Consultant – Job Specification

Belfast or Derry/Londonderry

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