Data Engineer – Azure & Snowflake Modernisation (Outside IR35)
6‑month contract | 4 days/week on‑site (City of London)
A leading organisation is modernising its data ingestion landscape and looking for a Data Engineer to help migrate legacy ETL workloads into scalable, cloud‑native pipelines on Azure and Snowflake.
Responsibilites:
- Designing and building robust batch and near‑real‑time ingestion pipelines
- Migrating legacy ETL/ELT into modern Azure + Snowflake patterns
- Implementing incremental loads, CDC, schema evolution, backfills
- Standardising ingestion using reusable frameworks and best practices
- Contributing to a modern data platform built on ADF, Databricks, Synapse
Skills:
- Strong data engineering background with a focus on data ingestion
- Hands‑on experience with Azure Data Factory, Databricks, Synapse
- Solid SQL and experience with Snowflake
- Proficiency in Python for data processing and automation
- Understanding of data lake/lakehouse patterns
- Exposure to Terraform, Azure DevOps, and orchestration tools (e.g., Dagster)
Apply now for more details!