Data Platform Engineer - Azure & Databricks
Scope AT
London, UK
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£70,000.0 - £100,000.0
Working hours
Regular working hours
Job source
Tech stack
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
+18 more
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
Job 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.
Requirements
- 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.
Benefits & conditions
City/Remote - 70-100k base + Benefits and bonus Full Time Posted by: Scope AT Limited Posted: Monday, 19 October 2026
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