Senior Data Engineer- Fast growing SaaS Scale up ??
- West Midlands , hybrid working (3 days in office)
The client
SaaS Software business platform which is revolutionising financial management for their customers.
This is a technical role within the data engineering team focusing on customer experience.
Responsibility:
- Working to ensure a high-quality data platform.
- Design, develop, test, and deploy data pipelines and integrations using IPaaS technology
- Collaborate on engineering platform ingestion, orchestration, data warehouse/data lake and API strategies for the data management ecosystem
- Willingness and an enthusiastic attitude to work within existing processes / methodologies.
- Collaborate with the DevOps team to provide high availability data solutions that scale geographically.
- Big data processing - Expertise in processing enterprise-scale volumes of data, ideally with proficiency in Snowflake.
Experience
- Data Stores - Technical excellence in SQL, NoSQL, Blob,Delta Lake, and other enterprise scale data stores.
- Data Orchestration - Enterprise scale usage of technology such as Azure Data Factory, Apache Airflow, Logic Apps, DBT, SnapLogic, Spark or similar tools.
- Software Tooling - GIT/GitHub, CI/CD, deployment tools like Octopus, Terraform infrastructure as code and other DevOps practices.
- Cloud - Azure hosted and experience of this is a strong preference. However other Cloud platFforms like AWS/GCP are acceptable.
- Coding - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential.
What's next?
Please follow the link to apply and attach a copy of your latest CV. If successful, a Consultant will be in touch to discuss in more detail.
Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.