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

Nominate & Attend

Data Engineer

Sword Group
County Down
1 month ago
Create job alert

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. 

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.