Data Engineer (Microsoft Power BI)

Sword Group
Aberdeen
11 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. 

If you are looking to take the next step in your career with an established and growing company, we’re delighted to share a newly created opportunity to join the Sword team in the role ofData Engineerwith a specific focus onMicrosoft Power BI.

Requirements

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

  • Experience of developing business reports and presenting data as information through interactive visualisations
  • Experience developing solutions using PowerBI
  • Experience of using SQL to perform data analysis tasks within defined source systems
  • Strong understanding of Business Intelligence, Data models and Data Warehouse principles.
  • Strong understanding of the role of data analysis within a BI project
  • Ability to translate business requirements into data requirements
  • Excellent written and presentation skills.

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 a Competitive 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, an employee assistance programme, discounted cash plan and more…. 

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.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.