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Data Platform Engineer - HOUSE

Job in City Of London, Central London, Greater London, England, UK
Listing for: Travelfusion
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Platform Engineer - CLICKHOUSE
Location: City Of London

Due to continued organisational growth and an increasing demand for robust data infrastructure, we are actively expanding our engineering team to include an experienced and skilled Data Platform Engineer.

This pivotal role will be central to our strategic initiatives, with a core focus on the end-to-end lifecycle of our data ecosystem. The successful candidate will be responsible for designing, building, and maintaining scalable and efficient databases, ensuring data integrity, performance, and accessibility. Furthermore, a significant part of the role will involve the development and optimisation of complex data pipelines, facilitating the seamless flow of information from various sources to our analytical and operational platforms.

This will encompass everything from data ingestion and transformation to orchestration and monitoring, utilising cutting‑edge technologies to support our evolving data needs.

Duties
  • Design and implement robust, scalable and efficient database schemas for various applications and data warehousing needs
  • Optimise database performance through indexing, partitioning and query tuning
  • Ensure data integrity and security through appropriate access controls, backup strategies and recovery procedures
  • Collaborate with development teams to integrate database solutions with new and existing applications
  • Develop and maintain comprehensive documentation for database designs and data models
  • Ensure data is structured and accessible for analysis
Essential Skills and Knowledge
  • Design, develop and maintain robust data pipelines for efficient data ingestion, transformation and loading from various sources into data warehouses, ncompassing expertise in bid data tools such as Click House (essential)
  • Implement comprehensive data quality checks and rigorous monitoring processes to ensure the accuracy, completeness and consistency of data
  • Optimise data pipeline performance and scalability to effectively manage and process substantial volumes of data
  • A high performing, detail orientated individual with relevant experience in a fast paced, dynamic tech business
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