Lead Data Engineer

Lead Data Engineer Salary/Rate: £100,000 - £110,000 per annum + Bonus Location: North London Company: Retelligence About Retelligence Retelligence is partnering with a high-growth, forward-thinking organization that specializes in digital innovation and marketing across international markets. The company is on an exciting journey, rapidly scaling its capabilities and leveraging advanced technology to deliver cutting-edge solutions. Join a dynamic team within a business that values innovation, supports professional development, and offers exceptional career progression. The Role Retelligence is seeking a Lead Data Engineer to take a hands-on role in designing and delivering robust, real-time data pipelines and infrastructure in a Google Cloud Platform (GCP) environment. The company is particularly interested in candidates with strong expertise in SQL. As the Lead Data Engineer, you’ll play a critical role in shaping their data architecture and driving transformation. You’ll partner closely with engineering, product, and analytics teams to ensure efficient, high-performance data systems that enable the business to thrive in a fast-paced environment. Key Responsibilities: * Design, develop, and maintain scalable, data pipelines and infrastructure in a GCP environment. * Integrate multiple data sources to ensure seamless data flow across the organization. * Build and optimize data models for querying and analytics use cases. * Develop fault-tolerant, highly available data ingestion and processing pipelines. * Continuously monitor and improve pipeline performance for low-latency and high-throughput operations. * Ensure data quality, integrity, and security across all systems. * Implement effective monitoring, logging, and alerting mechanisms. * Collaborate with product, engineering, and analytics teams to deliver tailored solutions that meet business needs. About You * Strong hands-on experience in data engineering with expertise in Python. * Proven track record of building and managing data pipelines. * In-depth experience with Google Cloud Platform (GCP) and its associated tools for data ingestion and processing. * Familiarity with distributed streaming platforms such as Kafka or similar technologies. * Advanced knowledge of SQL. * Experience with data orchestration tools. * Ability to optimize and refactor data pipelines for improved performance and scalability. * Strong problem-solving skills and the ability to thrive in a collaborative, fast-paced environment