Senior Consultant, Data Engineer, AI&Data, UKI

infrastructure and AI/ML initiatives.Design and implement data models, ETL/ELT workflows, and data integration solutions across structured and unstructured sourcesCollaborate 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 solutionsEssential QualificationsDegree 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 similarGood 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 conceptsExperience with data quality frameworks, data governance, and compliance requirements.Familiarity with version control (Git), CI/CD pipelines, and workflow orchestration tools (Airflow, Prefect).Soft SkillsStrong 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 CriteriaExperience 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 QualificationsCertifications such as:AWS Certified Data Analytics - SpecialtySnowPro Advanced: Data EngineerEY | Building a better working worldEY 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.EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global