
Chief Data Engineering Specialist
2 weeks ago
We are seeking a skilled Lead Data Engineer with strong expertise in SQL, big data processing, and modern data platforms.
The ideal candidate will have hands-on experience with modern unified data platforms (e.g. Databricks, Snowflake) and exposure to cloud data ecosystems (Azure, AWS, or GCP).
Key Responsibilities:- Drive initiatives to develop and continuously improve the Data/AI Practice.
- Design, build, and optimise data pipelines for large-scale structured and unstructured datasets.
- Implement ETL/ELT processes using SQL and modern big data frameworks.
- Work with Modern Data Platforms to enable data integration, transformation, and analytics.
- Collaborate with architects and governance leads to ensure data quality, lineage, and compliance.
- Apply big data processing concepts (e.g., partitioning, distributed compute, streaming/batch data flows).
- Support performance tuning, monitoring, and automation of data workflows.
- Build data modelling processes.
- Contribute to assessments and adoption of new vendor/platform solutions (e.g., Azure Fabric).
- Ability to lead data engineering projects from inception to delivery, harnessing effective communication skills to a non-technical audience.
- Fluent understanding of data modelling to link data entities.
- Strong proficiency in SQL (queries, optimization, stored procedures).
- Solid understanding of big data processing (distributed computing, Spark, Kafka, Delta Lake concepts, data partitioning, schema evolution).
- Familiarity with cloud data ecosystems (Azure, AWS, or GCP).
- Strong problem-solving skills and ability to work in a collaborative team environment.
- Experience with Microsoft Azure Fabric.
- Knowledge of data governance tools (e.g., Purview, Collibra) and data cataloguing concepts.
- Exposure to DevOps/MLOps practices (CI/CD, Git, automation tools).
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