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:

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  Design, develop, and maintain scalable, data pipelines and infrastructure in a GCP environment.
  
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  Integrate multiple data sources to ensure seamless data flow across the organization.
  
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  Build and optimize data models for querying and analytics use cases.
  
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  Develop fault-tolerant, highly available data ingestion and processing pipelines.
  
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  Continuously monitor and improve pipeline performance for low-latency and high-throughput operations.
  
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  Ensure data quality, integrity, and security across all systems.
  
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  Implement effective monitoring, logging, and alerting mechanisms.
  
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  Collaborate with product, engineering, and analytics teams to deliver tailored solutions that meet business needs.
  

About You

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  Strong hands-on experience in data engineering with expertise in Python.
  
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  Proven track record of building and managing data pipelines.
  
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  In-depth experience with Google Cloud Platform (GCP) and its associated tools for data ingestion and processing.
  
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  Familiarity with distributed streaming platforms such as Kafka or similar technologies.
  
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  Advanced knowledge of SQL.
  
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  Experience with data orchestration tools.
  
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  Ability to optimize and refactor data pipelines for improved performance and scalability.
  
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  Strong problem-solving skills and the ability to thrive in a collaborative, fast-paced environment