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# Data Engineer [213683]

- **Company:** Aquent
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Data Validation, Data Infrastructure, Extract Transform Load (ETL), Data Mining, Software Debugging, Python (Programming Language), Operational Databases, Performance Tuning, SQL Databases, Freeform SQL, Performance Monitor, Data Pipelines
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5bd1a98a52744744

## About the Role

* A minimum of 4 years of hands-on experience as a Data Engineer, BI Engineer, or Analyst within a product- or service-oriented company.
 * At least 2 years of experience working extensively with SQL, ETL processes, and reporting, including direct involvement in building or supporting production data pipelines.
 * Proficiency in at least one programming language, such as Python or C++.
 * Demonstrated experience working with structured datasets, applying data modeling concepts, and navigating analytics/reporting workflows.
 * Exceptional communication skills, with a proven ability to clearly document technical processes and articulate complex concepts to diverse audiences.

## Description

Are you a talented Data Engineer with a passion for transforming raw data into actionable insights? We are seeking a dynamic individual to join a pivotal team, where you will play a crucial role in building the data infrastructure that powers critical reporting and analytics. This is your chance to directly influence strategic decisions, enhance product understanding, and contribute to the success of widely-used platforms by ensuring data reliability and accessibility. If you thrive on solving complex data challenges and want to see your work directly impact a global user base, this is the opportunity for you!

What You'll Do:

 * Design, develop, and maintain robust ETL/ELT data pipelines and sophisticated data models to support a wide array of reporting and analytical use cases.
 * Craft, debug, and optimize complex SQL queries for efficient data extraction, transformation, validation, and performance tuning.
 * Create and manage comprehensive reporting datasets and accompanying documentation, significantly enhancing data reliability and usability across the organization.
 * Collaborate closely with diverse internal stakeholders to deeply understand their data requirements and translate them into well-architected, scalable data solutions.
 * Implement rigorous data quality checks and proactive monitoring systems to guarantee the accuracy, completeness, and timeliness of all data outputs.
 * Provide essential support for ad hoc data analyses and expertly investigate and resolve data-related issues as they arise.