National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Engineer 60K

City of London
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer (SQL Server / AWS)

Senior Data Engineer (SQL Server / AWS)

Senior Data Engineer (SQL Server / AWS)

Senior Data Engineer - Snowflake - £100,000

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

National AI Awards 2025

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.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.