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

Apply Now

Data Engineer

Sword Group
London
5 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving transformational change within our clients. We use proven technology, specialist teams and domain expertise to build solid technical foundations across platforms, data, and business applications. We have a passion for using technology to solve business problems, working in partnership with our clients to help in achieving their goals.

Join our dynamic team as aData Engineerand be at the forefront of driving data innovation across diverse business sectors.

This role offers the opportunity to work on cutting-edge data solutions, leveraging the latest technologies to solve complex problems and make a tangible impact. You'll collaborate with talented professionals, enhance your skills, and contribute to meaningful projects that shape the future of our clients.

If you're passionate about data and eager to grow in a supportive and forward-thinking environment, this is the perfect opportunity for you.

Here’s what the role looks like: 

Design, develop, and maintain scalable data pipelines and ETL/ELT processes Implement data solutions across various business sectors to support analytics and reporting Collaborate with cross-functional teams to understand data requirements and deliver solutions Optimise data storage and retrieval processes for efficiency and performance Ensure data quality and integrity through rigorous validation and cleansing Develop and maintain data models and data warehouses Monitor and troubleshoot data workflows to ensure smooth operation Stay updated with the latest data engineering trends and technologies

Requirements

Here are the key skills and experience relevant to this role:

A degree in Computer Science, Data Science, or a related field Proven experience as a Data Engineer or similar role, with expertise in designing and implementing data solutions Proficiency in programming languages such as SQL, Python, Java, or ML Experience with data warehousing, ETL processes, and data modelling Familiarity with cloud platforms (, Azure, AWS) and data analytics tools Good communication skills and the ability to work collaboratively in a team environment Strong analytical and problem-solving skills, with attention to detail

Benefits

At Sword, our core values and culture are based on caring about our people, investing in training and career development, and building inclusive teams where we are all encouraged to contribute to achieve success.

We offer comprehensive benefits designed to support your professional development and enhance your overall quality of life.

In addition to aCompetitive Salary, here's what you can expect as part of our benefits package: 

Personalised Career Development:We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth. 

Flexible working:Flexible work arrangements to support your work-life balance. We can’t promise to always be able to meet every request, however, are keen to discuss your individual preferences to make it work where we can. 

A Fantastic Benefits Package:This includes generous annual leave allowance, enhanced family friendly benefits, pension scheme, access to private health, well-being, and insurance schemes.

At Sword we are dedicated to fostering a diverse and inclusive workplace and are proud to be an equal opportunities employer, ensuring that all applicants receive fair and equal consideration for employment, regardless of whether they meet every requirement. If you don’t tick all the boxes but feel you have some of the relevant skills and experience we’re looking for, please do consider applying and highlight your transferable skills and experience. We embrace diversity in all its forms, valuing individuals regardless of age, disability, gender identity or reassignment, marital or civil partner status, pregnancy or maternity status, race, colour, nationality, ethnic or national origin, religion or belief, sex, or sexual orientation. Your perspective and potential are important to us. 

If we can do anything to help make the hiring process more accessible, please let our talent acquisition team know when you apply so we can support any adjustments. 

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.

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.

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.

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.