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

Apply Now

Senior Data Engineer 60K

City of London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Job Description

In this role, you will take the lead in managing data integration, optimising streaming systems, and implementing data engineering best practices. Collaborating closely with cross-functional teams, you will ensure that data flows are efficient, scalable, and aligned with the company's strategic objectives. As a champion of data engineering across the organisation, you will develop enterprise-level solutions that not only enhance operational performance but also drive strategic decision-making. Your expertise will play a pivotal role in shaping business strategy through advanced and innovative data engineering capabilities.

Role & Responsibilities

Data Infrastructure & Integration
Data Streaming Systems
Systems Integration
Data Engineering Advocacy
Meta-data Management
Problem Resolution
Skills & Qualifications

Business Solutions Skillet

Azure Data Platform
Azure Data Factory
Azure Synapse
Power BI
SQL Server Analysis Services (SSAS)
SQL Server Integration Services (SSIS)
SQL Server Reporting Services (SSRS)
Minimum 5+ years of experience in Database and/or Analytic Systems development and deployment.
Extensive experience with software development or IT implementation and consulting.

Hands on experience

Azure Data Lake
Azure SQL DB
Azure Synapse
Cosmos DB
Oracle, Postgres, or SQL Server
Expertise in database tuning, query optimisation, and diagnostics.
Knowledge of infrastructure, including networking, storage, and hardware optimisation.
Data migration experience, with a focus on high-performance stored procedures.Desirable

Data Vault
Fabric
Spark

Benefits

Company pension
Free flu jabs
Health & well being programme
Life insurance
Private dental insurance
Private medical insurance
Referral programme
Sick pay
Work from home
Holidays + All bank holidays

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.

Jobs

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.