Data Engineer

The Data Engineer position centres on maintaining scalable ETL/ELT pipelines using Microsoft Fabric, Databricks, or Snowflake. It would suit someone who can bring careful technical judgement and practical problem-solving to the role.

Where ownership sits

Platform Delivery & Customer Enablement Support customer deployments of Quantios Insights across enterprise data platforms. Support metadata management and cataloguing tools such as Purview.

Technical work involved

Maintain scalable ETL/ELT pipelines using Microsoft Fabric, Databricks, or Snowflake. Develop data ingestion processes for structured, semi-structured, and event-based data from Quantios products. Build scalable dataflows using Python, SQL, PySpark, or similar technologies.

Technical skills and experience

• Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related field.
• 4+ years of experience in data engineering, preferably within cloud-based or enterprise environments.
• Hands-on experience with one or more: Microsoft Fabric, Azure Databricks, Snowflake.

Practical details

• Additional detail: Training or development support may be provided.

Job details

• Benefits mentioned: Training