Data Engineer
Summary
Build and optimize Azure-based data pipelines and ETL workflows using Synapse, PySpark, and Databricks to ingest and process large-scale datasets.
Senior Data Engineer – Huxley
Join to apply for the Data Engineer role at Huxley.
We are looking for a Senior Data Engineer to participate in a large-scale project. The project consists of defining the data strategy to enable acceleration and onboard multiple data sources.
Requirements
- Azure Synapse Analytics (pipelines, notebooks, SQL pools)
- Azure Data Lake Storage Gen2 (architecture, management, security)
- Python & PySpark (data processing, automation)
- T-SQL (complex queries, procedures)
- Development of ETL/ELT workflows using modern orchestration tools
- RESTful API design & integration
- Experience with Databricks is nice to have
- Azure Functions & Logic Apps (event-driven/serverless)
- Security: Azure RBAC, Managed Identities, Key Vault
- Monitoring & alerting (Azure Monitor, Log Analytics)
- Familiarity with ServiceNow APIs is an added advantage
- Fluent English
Conditions
- Start Date: December
- Duration: 3 months initially + future extensions 2026
- Location: 100% remote (candidate must be based in Spain or Portugal)
- Interview process: 1 interview
If this project sounds like a good fit for your next career move, apply to this ad and I will get in touch with you as soon as possible!