Data Engineer

Job DescriptionSenior Data Engineer- Fast growing SaaS Scale up 🚀West Midlands- hybrid working Up to £86K base with bonus and benefitsThe clientSaaS Software business platform which is revolutionising financial management for their customers.Responsibility:Working to ensure a high-quality data platform.Design, develop, test, and deploy data pipelines and integrations using IPaaS technologyCollaborate on engineering platform ingestion, orchestration, data warehouse/data lake and API strategies for the data management ecosystemWillingness 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. ExperienceData 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?If you believe you have the desired skills and experience, 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.