Consultant, Data Engineer
Role details
Job location
Tech stack
Job description
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 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 solutions, We seek an experienced Associate Director, Gen AI Architect, specialising in the Energy, Resources & Industrials (ER&I) sector, to join our AI & Data team. This role is pivotal in driving the adoption and implementation of Gen AI solutions within ER&I.Generative AI is..., Job SpecificationGrade: Senior Manager About the RoleWe are seeking an experienced AI & Data Solution Architect to join our AI and Data consulting practice and lead the design and implementation of cutting-edge data and AI solutions for our enterprise clients. This role...
Requirements
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 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 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 ProfessionalAzure Data Engineer AssociateAWS Certified Data Analytics - SpecialtySnowPro Advanced: Data Engineer, A global consulting firm is seeking a Senior Consultant, Data Engineer to design and optimize data solutions that enhance AI-driven business transformation. The ideal candidate will have substantial experience in building data pipelines and strong programming skills in...