Senior Data Engineer - Big Data Platforms

About the Role

Our client is seeking an accomplished Senior Data Engineer with expertise in big data platforms to join their collaborative analytics team in Bristol . In this hybrid role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support advanced analytics and business intelligence initiatives. You will work with massive datasets, ensuring data quality, availability, and performance. This is an exciting opportunity to contribute to data-driven decision-making within a forward-thinking organization that values innovation and technical expertise.

Key Responsibilities

• Design, develop, and optimize robust ETL/ELT pipelines for large-scale data processing.
• Build and maintain scalable data warehouses and data lakes using big data technologies.
• Ensure data quality, integrity, and reliability across all data platforms.
• Collaborate with data scientists and analysts to understand data needs and provide data solutions.
• Implement and manage data infrastructure, ensuring performance, security, and cost-efficiency.
• Stay current with emerging trends and technologies in big data and data engineering.

Requirements

• 5+ years of professional experience in data engineering, with a focus on big data technologies.
• Proficiency in programming languages such as Python, Scala, or Java.
• Hands-on experience with big data technologies like Spark, Hadoop, Kafka, or similar.
• Strong SQL skills and experience with data warehousing concepts.
• Experience with cloud data platforms (e.g., AWS Redshift, Azure Data Lake, Google BigQuery) is highly desirable.
• Excellent problem-solving abilities and experience working in a collaborative team environment.

Benefits

• Competitive salary and performance-based bonus.
• Hybrid work model offering flexibility and office-based collaboration.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and opportunities for professional development.
• A dynamic work environment with impactful data projects.