Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Technical Business Analyst

Poole
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Governance Manager

Our client provides, innovative fully managed solutions within the automotive fleet management sector. Due to expansion, they have a new opportunity for a Technical Business Analyst who has a good blend of business acumen and specialises in Microsoft Stack, Azure with a good knowledge of Linux environments. The Technical Business Analyst will effectively assist in driving digital transformation initiatives and optimise business processes across all environments within the business.
Key Responsibilities:
Business Analysis "as is" to map existing system
Gather and analyse business requirements from stakeholders
Translate business needs into technical specifications
Create detailed functional and non-functional requirements documents
Develop use cases, user stories, and process flows
Collaborate with development teams to ensure proper implementation
Oversee the integration of Microsoft and Linux-based systems
Provide guidance on best practices for Azure cloud adoption
Analyse and optimize cloud costs and resource utilization
Ensure compliance with security and data protection regulations
Facilitate knowledge transfer between technical and non-technical stakeholders
Reduction in cloud infrastructure costs
Improved system integration and data flow
Successful implementation of Azure-based solutions
Stakeholder satisfaction with proposed solutions
Plan and oversee migration of on-premises systems to Azure
Identify integration points between different systems and platforms
Propose solutions for seamless data flow between Microsoft and Linux environments
Key Skills and Technical Expertise required:
An understanding of Microsoft Stack technologies, including .NET, C#, and SQL Server
Possesses in-depth knowledge of Azure cloud services and architecture
Can Demonstrate proficiency in Linux operating systems and distributions
Has familiarity with containerization technologies like Docker and Kubernetes
Cloud Solutions
Experience of designing and proposing Azure-based solutions to meet business objectives
Strong analytical skills to analyse and optimize existing cloud infrastructure
Technical Skills
Strong understanding of Azure services (Compute, Storage, Networking, etc.)
Proficiency in Linux command-line interface and shell scripting
Knowledge of Azure DevOps practices and tools
Familiarity with IIS and Azure monitoring and security features
Business Skills
Excellent communication and presentation skills
Strong analytical and problem-solving abilities
Project management experience
Ability to create application visualisation documentation
This is an excellent opportunity to join at a period of extensive growth within a forward-thinking organisation.
Excellent Benefits
This is an office based role, with potential for some work from home

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.

Data Engineering Team Structures Explained: Who Does What in a Modern Data Engineering Department

Data has become the lifeblood of modern organisations. Every sector in the UK—finance, healthcare, retail, government, technology—is increasingly relying on insights derived from data to drive decisions, deliver products, and improve operations. But raw data on its own isn’t enough. To make data useful, reliable, secure, and scalable, companies must build strong data engineering teams. If you’re recruiting for data engineering or seeking a role, understanding the structure of such a team and who does what is essential. This article breaks down the typical roles in a modern data engineering department, how they collaborate, required skills and qualifications, expected UK salaries, common challenges, and advice on structuring and growing a data engineering team.