Senior Data Engineer

About the Role

Our client is seeking a highly skilled Senior Data Engineer to join their expanding data analytics team in Reading . This role is central to designing, building, and maintaining robust and scalable data pipelines and infrastructure that power the company's data-driven decision-making processes. You will work with large, complex datasets, implement data warehousing solutions, and ensure data quality and accessibility for data scientists and analysts. This is an excellent opportunity for an experienced engineer to shape the future of data infrastructure in a collaborative, on-site environment.

Key Responsibilities

• Design, develop, and optimize data pipelines and ETL processes for various data sources.
• Build and maintain scalable data warehousing solutions and data lakes using modern technologies.
• Ensure data quality, integrity, and security across all data systems.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• Implement and manage data infrastructure on cloud platforms (e.g., AWS, Azure, GCP).
• Monitor system performance, troubleshoot data-related issues, and implement solutions to improve efficiency.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of professional experience in data engineering or a similar role.
• Proficiency in SQL and at least one programming language like Python, Scala, or Java.
• Hands-on experience with big data technologies (e.g., Spark, Hadoop, Kafka) and cloud data services.
• Experience with data modeling and database design (relational and NoSQL).
• Strong understanding of data warehousing concepts and ETL best practices.

Benefits

• Competitive salary and annual bonus.
• Comprehensive private medical, dental, and optical insurance.
• Generous company pension scheme.
• Opportunities for professional development, training, and certifications.
• Collaborative office environment with modern amenities.