Data Engineer
Core
Designing and implementing scalable data pipelines, cloud data solutions, and integrations to enable analytics, reporting, and AI outcomes for client organizations.
Role type
Data Engineer (Consulting)
Builds
Scalable data pipelines, ETL/ELT processes, data models, curated datasets, and data products on modern cloud platforms.
Domain
Data Engineering / Cloud Data Platforms
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL development, ETL/ELT pipeline design, cloud data platforms (Microsoft Fabric, Azure, Databricks, Snowflake), orchestration and integration tools, data warehousing and lakehouse architectures, API and file-based integrations, data modeling, data quality and governance controls, platform performance optimization.
Preferred skills
Experience in project-based or consulting environments, ability to communicate technical concepts to non-technical stakeholders.
Technologies
Microsoft Fabric, Azure, Databricks, Snowflake
Responsibilities
Design, build, and maintain scalable data pipelines and integration solutions; Develop and optimise ETL/ELT processes across modern cloud data platforms; Implement data ingestion, transformation, and orchestration solutions; Support the design and implementation of modern data architectures and data platforms; Work with structured, semi-structured, and streaming data sources; Develop and maintain data models, curated datasets, and data products; Collaborate with analytics and reporting teams to support business intelligence and AI use cases; Implement data quality, monitoring, and governance controls; Optimise platform performance, scalability, reliability, and cost efficiency; Participate in stakeholder workshops, technical discovery sessions, and solution design activities; Prepare technical documentation, implementation guides, and operational handover materials; Contribute to reusable frameworks, accelerators, and delivery standards within One51.
Seniority
Mid-level, hands-on IC