Lead Data Engineer

Salary/Rate: £100,000 - £110,000 per annum + Bonus

Location: North London

Company: 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.

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.

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• 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.

  
  

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• 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.