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Senior Data Platform Engineer

2 months ago

Newcastle upon Tyne, Newcastle upon Tyne, United Kingdom Central Employment Full time
Senior Database Engineer

Central Employment is partnering with a leading eCommerce Web-Print Specialist to find a skilled Senior Database Engineer to join their growing Engineering team in Newcastle.

This is an exciting opportunity to design, build, and maintain a robust data platform, with a strong focus on streaming data, cloud infrastructure, and machine learning operations.

Key Responsibilities:
  • Design and develop scalable and efficient data pipelines using AWS services.
  • 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, and 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, and Lambda, to build and manage the 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.
  • 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.
Requirements:
  • 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.