Cloud Data Engineer
Core
Building data platforms (data lakehouses, warehouses, lakes) and defining data flows from ingestion to business-ready consumption for clients.
Role type
Cloud Data Engineer
Builds
Data platforms, data pipelines, and migration plans for legacy systems.
Domain
IT Services / Cloud Data Engineering
Required skills
Data transformation (PySpark, SQL), Cloud platforms (Azure, Databricks, Microsoft Fabric), Data warehousing/lakehouse design, CI/CD practices, Data quality assessment, Legacy system migration.
Preferred skills
Data modelling frameworks (Kimball), Agentic AI solutions, Data Science/Analytics use cases.
Technologies
Microsoft Fabric, Databricks, Azure Data Factory, Azure Synapse Analytics, Snowflake, Google BigQuery, Azure DevOps, Jira, Python, PySpark, SQL.
Responsibilities
Building data platforms with critical components including data lakehouses, data warehouses and data lakes; Defining data flows across data platforms using medallion or lambda architecture; Designing migration plans for moving transactional and master data from legacy systems; Conducting comprehensive data assessments to identify and remediate data quality issues; Liaising with senior client stakeholders and supporting Senior Data Architects in gathering functional requirements.
Seniority
Mid-level (3+ years experience)