Senior Data Engineer

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Job Title: Senior Data Engineer

Location / Working model: London | Hybrid

This is a critical technical position within a high-growth, forward-thinking organization that specializes in digital innovation. We require an experienced Senior Data Engineer to design, build, and maintain a robust, scalable, and high-performance system that is fundamental to the organization's operational and analytical success.

Core Responsibilities

• System Architecture & Development: Lead the design, development, and maintenance of scalable, high-performance, real-time data pipelines and core infrastructure components within the cloud environment.
• Data Integration: Ensure seamless, low-latency data flow by integrating and unifying diverse data sources across the organization.
• Data Modeling & Quality: Build and optimize robust data models specifically for complex querying and analytical use cases, and ensure data quality, integrity, and security across all systems.
• Reliability & Monitoring: Construct highly available, fault-tolerant systems for high-volume data ingestion and processing, implementing effective monitoring, logging, and alerting mechanisms.
• Performance Optimization: Continuously monitor, tune, and optimize pipeline scalability and performance to meet stringent throughput and latency standards.
• Cross-Functional Alignment: Partner directly with technical and business teams to ensure the data infrastructure directly supports strategic objectives.

Required Technical Expertise

• Production Experience: Extensive hands-on experience in Data Engineering, specifically a proven track record of successfully architecting, building, and managing production-grade real-time data pipelines across multiple large-scale initiatives.
• Cloud Platform Specialization: Mandatory deep, practical experience leveraging Google Cloud Platform (GCP) and its associated tools for the deployment and management of real-time data ingestion and processing services. (While AWS knowledge is valuable, GCP expertise is primary.)
• Distributed Streaming: Strong familiarity with distributed streaming technologies, such as Kafka or similar platforms.
• Programming & Scripting: Expert proficiency in Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability.
• Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles.
• Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes).

The Environment

We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast-paced environment. Exceptional written and verbal communication skills in English are required for effective technical leadership and documentation.

Seniority level: Mid-Senior level

Employment type: Full-time

Industries: Staffing and Recruiting, IT Services and IT Consulting

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