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# Senior Data Engineer/Modeller

- **Company:** Opus Recruitment Solutions
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £104,000.0 - £130,000.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Databases, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Cloud Services, SQL Databases, Snowflake, Apache Spark, Data Management, Software Coding, Data Pipelines, Databricks
- **Published:** July 20, 2026
- **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-AB20E6C7C75E13C4E5/

## About the Role

* Around 5 experience in data engineering or data consultancy
 * Strong experience with data modelling, ideally dimensional (eg Kimball)
 * Proven ability to design solutions that support analytics and decision-making
 * Solid coding skills in SQL and Python (Spark/SQL variants beneficial)
 * Experience with cloud data platforms (Azure, Databricks, Snowflake, or similar)
 * Understanding of modern data architectures (eg medallion/lakehouse approaches)
 * Exposure to Agile delivery and collaborative, cross-functional teams
 * Confident communicator with strong stakeholder engagement skills

## Description

This is a hands-on role suited to someone who enjoys working across the full data life cycle - from designing scalable platforms and pipelines to shaping well-structured data models that drive meaningful business insight. You'll operate in a collaborative, small-team environment, working closely with both technical teams and non-technical stakeholders to turn complex requirements into clear, practical solutions.

What You'll Be Doing

 * Designing and delivering robust data models (conceptual, logical, dimensional) for analytics and reporting
 * Building and optimising data platforms and ETL/ELT pipelines in cloud environments
 * Ingesting and integrating data from various sources (APIs, databases, flat files)
 * Translating business needs into scalable, maintainable data solutions
 * Applying best practices across data governance, quality, and security
 * Working directly with clients, explaining technical concepts in a clear, accessible way
 * Supporting junior team members and contributing to knowledge sharing


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