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# Data Platform Engineer - Azure & Databricks

- **Company:** Scope AT
- **Location:** London, UK (Remote available)
- **Salary:** £70,000.0 - £100,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Microsoft Azure, C Sharp (Programming Language), Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Relational Databases, Database Queries, JSON, Python (Programming Language), Enterprise Messaging Systems, Microsoft SQL Server, NoSQL, Oracle (Applications), SQL Databases, Extensible Markup Language (XML), Azure Data Factory, Snowflake, HybridCloud, Data Lakes, Kubernetes, Atlassian Tools, Enterprise Integration, Data Management, Data Pipelines, Docker, Databricks
- **Published:** October 20, 2026
- **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-521AD1313AFB3E9844/

## About the Role

* Strong experience as a Data Engineer, Analyst Developer or in a similar role.
 * Proven experience delivering end-to-end data solutions.
 * Hands-on experience with Azure data services and Databricks.
 * Strong SQL skills and experience with relational databases such as Oracle and SQL Server.
 * Experience with Python, C#, APIs, JSON/XML and messaging technologies, or equivalent.
 * Understanding of data architecture patterns, including data lakes and lakehouses.
 * Strong analytical, problem-solving and communication skills.
 * A collaborative approach and a passion for building high-quality, production-ready solutions.

Desirable Experience

 * Financial services experience, ideally within capital markets, corporate banking or asset management.
 * Familiarity with NoSQL databases, Snowflake, Denodo, Docker or Kubernetes.
 * Experience with Agile methodologies and Atlassian tools.
 * Experience mentoring colleagues and relevant cloud or data engineering certifications.

## Description

You will play a key role in building a new-generation data platform using Microsoft Azure and Databricks within a hybrid cloud environment. This is an excellent opportunity to contribute to a greenfield project, modernise Legacy data capabilities and deliver scalable, secure and high-performing data solutions., * Design, develop and optimise data pipelines, ETL processes and integration solutions.

 * Translate business requirements into robust, scalable technical designs.
 * Build and maintain data solutions using Azure, Databricks and SQL.
 * Integrate, transform and validate data from multiple sources, ensuring quality and reliability.
 * Optimise platform performance, security, scalability and operational resilience.
 * Contribute to data architecture, technical documentation and platform strategy.
 * Collaborate with stakeholders and fellow engineers, sharing best practices and mentoring junior team members.