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# Data Engineer

- **Company:** Michael Page
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £104,000.0 - £130,000.0
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, JIRA, Continuous Integration, Data Cleansing, Information Engineering, Extract Transform Load (ETL), Data Security, Data Systems, Github, Python (Programming Language), Performance Tuning, Power BI, Cloud Services, SQL Databases, Feature Engineering, Snowflake, Data Layers, Microsoft Fabric, Pyspark, Software Version Control, Data Pipelines
- **Published:** May 19, 2026
- **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-0D0A4815681992C619/

## About the Role

* 5+ years' experience in data engineering roles delivering scalable data solutions
 * Strong expertise in SQL, data modelling, and cloud data platforms
 * Hands-on experience with Snowflake and Microsoft Fabric (OneLake)
 * Proficiency in Python and PySpark, including notebooks and automation
 * Experience building and maintaining ETL/ELT pipelines at scale
 * Strong understanding of performance optimisation and cost management
 * Knowledge of data security, governance, and privacy (eg GDPR)
 * Experience with BI tools (Power BI preferred)
 * Comfortable working in Agile environments with Jira, CI/CD, and GitHub
 * Proactive, self-sufficient, and strong collaborator across teams

## Description

This is a hands-on Data Engineer role focused on building and optimising modern data pipelines across Fabric and Snowflake. You'll play a key role in delivering scalable, secure, and high-performance data solutions that support analytics, reporting, and AI initiatives.

Client Details
Our client is an international organisation operating at the intersection of financial services, professional development, and data-driven products. They work with global institutions to deliver specialist solutions that combine domain expertise with technology and analytics. As they continue to evolve their digital capabilities, data is becoming a central pillar in enhancing both their internal operations and client-facing services., * Design and deliver scalable ETL/ELT pipelines across Microsoft Fabric and Snowflake

 * Build and maintain integrations from multiple data sources (APIs, files, feeds)
 * Implement medallion architecture (bronze, silver, gold) to support analytics and reporting
 * Develop data models, schemas, and semantic layers for BI and downstream use
 * Enable interoperability between OneLake/Fabric and Snowflake environments
 * Optimise performance, cost efficiency, and reliability of data pipelines
 * Troubleshoot data quality and performance issues, driving continuous improvement
 * Implement robust security, governance, and client data segregation controls
 * Support AI/ML use cases through data preparation, feature engineering, and pipelines
 * Work closely with cross-functional teams and deliver through Jira-based workflows
 * Maintain documentation, version control (GitHub), and CI/CD best practices


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