Senior Data Engineer
Location:London (Hybrid)
Hours:35 per week

We're seeking a skilled Senior Data Engineer to help develop and optimize our client's Azure-based data platform. This role involves designing, building, and maintaining data pipelines to support robust data analytics.

Key Responsibilities:
- Build and manage data pipelines using Azure tools, focusing on Databricks, Synapse Analytics, Data Factory, and PySpark.
- Develop and optimize ETL processes, ensuring data integrity and reliability.
- Translate business requirements into scalable data solutions.
- Drive enhancements in data architecture and governance.
- Integrate data from Microsoft Dynamics for analytics and reporting.

Requirements:
- Proficiency in Databricks, Azure Synapse Analytics, Data Factory, and PySpark.
- Experience with DataOps principles and best practices.
- Knowledge of Microsoft Dynamics integration is a plus.
- Proactive, problem-solving approach with strong attention to detail.

Benefits:
- 25+ days holiday plus bank holidays
- Cash Healthcare Plan
- Flexible working and early Friday finish
- Gym discounts, cycle-to-work scheme, and more
- Pension, life assurance, and income protection

Apply now to join an innovative data team and drive impactful data solutions!