Senior Software Engineer - Data Platforms

About the Role

Our client is looking for a talented Senior Software Engineer to join their expanding data platforms team in Liverpool . This role is crucial for designing, building, and optimizing the data infrastructure that supports their analytical and business intelligence needs. You will work with large-scale datasets, implement robust data pipelines, and ensure the performance and reliability of their data warehouse and data lake solutions. If you are passionate about data engineering, distributed systems, and enabling data-driven decision-making, this is an exciting opportunity to make a significant impact.

Key Responsibilities

• Design, develop, and maintain scalable and efficient data pipelines using modern ETL/ELT tools and technologies.
• Build and optimize data models within their data warehouse and data lake solutions.
• Implement and manage data processing frameworks like Apache Spark or Flink.
• Ensure data quality, integrity, and security across all data platforms.
• Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions.
• Monitor data platform performance, troubleshoot issues, and implement improvements for scalability and efficiency.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in software engineering with a focus on data infrastructure.
• Proven experience in designing and implementing scalable data pipelines and data warehouses.
• Proficiency in SQL and experience with at least one programming language like Python, Java, or Scala.
• Hands-on experience with big data technologies (e.g., Hadoop ecosystem, Spark, Kafka).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.

Benefits

• Competitive annual salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Generous pension scheme and life assurance.
• Opportunities for professional development and training in data technologies .
• A collaborative work environment with flexible hybrid working arrangements in Liverpool .