Central Employment are working in partnership with a long term eCommerce Web-Print Specialist, as they look to recruit a Senior Database Engineer , joining the growing Engineering team in Newcastle.

You will play a crucial role in designing, building, and maintaining our data platform, with a strong emphasis on streaming data, cloud infrastructure, and machine learning operations.

Hybrid working options, 1-2 days from Newcastle - no remote working

Up to £50,000 DOE

Key Responsibilities:

• Design, develop, and maintain scalable and efficient data pipelines.
• Optimize ETL processes to ensure seamless data ingestion, processing, and integration across various systems.
• Lead the development and maintenance of a real-time data streaming platform using tools like Apache Kafka, Databricks, Kinesis.
• Ensure the integration of streaming data with batch processing systems for comprehensive data management.
• Utilize AWS data engineering services (including S3, Redshift, Glue, Kinesis, Lambda, etc.) to build and manage our data infrastructure.
• Continuously optimize the platform for performance, scalability, and cost-effectiveness.
• Collaborate with cross-functional teams, including data scientists and BI developers, to understand data needs and deliver solutions.
• Leverage the project management team to coordinate project, requirements, timelines and deliverables, allowing you to concentrate on technical excellence.
• Establish ML Ops practices within the data engineering framework, focusing on automation, monitoring, and optimization of machine learning pipelines.
• Implement and maintain data quality frameworks, ensuring the accuracy, consistency, and reliability of data across the platform.
• Drive data governance initiatives, including data cataloguing, lineage tracking, and adherence to security and compliance standards.

Experience:

• 3+ years of experience in data engineering, with a proven track record in building and maintaining data platforms, preferably on AWS.
• Strong proficiency in Python, experience in SQL and PostgreSQL. PySpark, Scala or Java is a plus.
• Familiarity with Databricks and the Delta Lakehouse concept.
• Experience mentoring or leading junior engineers is highly desirable.