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Senior Data Engineer

Job in City Of London, Central London, Greater London, England, UK
Listing for: Retelligence
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Job Description & How to Apply Below
Location: City Of London

Rate
: 550 p/day

Environment
:
Hybrid (3 days)

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 Senior Data Engineer to design and deliver 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.

Key Responsibilities:

  • Design, develop, and maintain scalable, data pipelines and infrastructure in a GCP environment.
  • Integrate multiple data sources to ensure seamless real-time 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.
About You
  • Strong hands-on experience in data engineering with expertise in Python.
  • Proven track record of building and managing real-time 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.
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Position Requirements
10+ Years work experience
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