Data Engineer
Data Engineer
Permanent, Full Time
London
Sponsorship: *NOT AVAILABLE*
The Data Engineer will be responsible for the following:
• Provide technical support in development and delivery of data catalogue, lineage and data classification, including, but not limited to automation of the same
• Develop data pipelines for ingestion, storage and transformation (CI/CD pipeline)
• Data acquisition and migration to public Cloud enterprise data warehouse, including conformance to enterprise data model
• Develop business intelligence and reporting solutions, algorithms ad prototypes for functional and enterprise use, including but not limited to testing, deployment and maintenance
• Commercial experience in a coding C# (Azure Function Apps)
• Previous experience in data engineering or similar roles, with operational and change management
• Operational familiarity with metadata management, data quality, data stewardship, data protection and experience in the use of associated technologies (data catalog, data quality management platforms)
• Knowledge of Cloud based big data frameworks such as data lake, relational, Graph
• Excellent communication (verbal, written, listening) and interpersonal skills
• Able to analyse complex situations and derive workable actions
• Experience developing ETL pipelines in Databricks using PySpark and Delta lake.
• Ability to understand and integrate cultural differences and work effectively with virtual cross-cultural, cross-border teams Education and experience Wide variety of degrees will be considered, however degree in Computer Science, IT or similar field to Masters and data engineering certification will be advantageous
• Technical expertise with data models, data mining and segmentation
• Proficient in relevant programming languages (e.g. Python, R, Java)
• Hands on experience with SQL database design
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
email - as they go live.
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