Senior Data Engineer in Glasgow

Senior Data Engineer in Glasgow

Glasgow Full-Time Home office (partial)
Sword

At a Glance

  • Tasks: Design and deliver innovative data and AI solutions for diverse clients using cutting-edge technology.
  • Company: Join Sword, a leader in business technology solutions across Energy, Public, and Finance sectors.
  • Benefits: Enjoy flexible working, personalised career development, and a fantastic benefits package.
  • Other info: Be part of a diverse team that values your unique perspective and potential.
  • Why this job: Make a real impact by shaping data strategies and driving transformational change for clients.
  • Qualifications: Strong experience with Microsoft Azure, Power BI, and data architecture required.

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, dedicated to driving transformational change for our clients. We leverage proven technology, specialist teams, and extensive domain expertise to create robust technical foundations across platforms, data, and business applications. Our mission is fueled by a passion for technology as a means to solve complex business problems and achieve our clients' objectives.

About the Role

This is a senior, client-facing role with responsibility for shaping, designing, and delivering modern data and AI solutions across a range of client engagements. You will operate across the full lifecycle, from early discovery and requirement gathering through architecture design, hands-on delivery, and ongoing optimisation, using Microsoft Azure, Fabric, Power BI, and AI capabilities. As a trusted consultant, you will work closely with business and technical stakeholders, influence data and analytics strategy, and help clients realise tangible value from their data investments. The role also includes contributing to pre-sales activities, supporting proposals and solution design, mentoring junior team members, and helping to grow our data and AI consultancy capability.

Areas of responsibility

  • Design and deliver end-to-end data & analytics solutions using Azure, Microsoft Fabric, and Power BI, but not limited to this technology stack.
  • Act as a trusted advisor, translating business requirements into scalable, secure data architectures.
  • Lead data engineering and architecture across ingestion, storage, transformation, and analytics layers.
  • Build and optimise Power BI reports and semantic models for actionable insights.
  • Integrate Azure AI/ML capabilities into solutions, including predictive analytics, large language models, and automation workflows.
  • Drive pre-sales and client engagements, including solution shaping, proposals, and presentations.
  • Ensure solutions meet data governance, security, and compliance standards.
  • Stay up-to-date with AI innovations, advising clients on adoption and improvements.

Requirements

  • Strong hands-on experience with Microsoft Azure data services (e.g. Azure Data Factory, Azure Synapse, Azure Data Lake, Azure SQL).
  • Proven experience designing and delivering solutions using Microsoft Fabric, including Lakehouse, Warehousing, Data Engineering, and Real-Time Analytics.
  • Advanced skills in Power BI, including semantic modelling (DAX), performance optimisation, and enterprise-scale deployments.
  • Solid background in data architecture, including data modelling, integration patterns, and modern analytics architectures.
  • Experience building and optimising data pipelines using SQL, Python, and/or Spark.
  • Knowledge of AI and advanced analytics on Azure, including Azure Machine Learning, Cognitive Services, or Fabric AI capabilities.
  • Experience integrating AI-driven insights (e.g. predictive models, NLP, or LLM-based solutions) into data platforms and reporting solutions.
  • Understanding of data governance, security, and compliance, including role-based access control and data quality frameworks.
  • Familiarity with DevOps / CI-CD practices for data platforms (e.g. Azure DevOps, Git, automated deployments).
  • Experience working in client-facing or consultancy environments, delivering solutions across multiple stakeholders.
  • Strong understanding of cloud cost management, performance tuning, and scalability.
  • Exposure to pre-sales technical activities, such as solution design, estimations, and proof-of-concepts (desirable).

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.

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.

Senior Data Engineer in Glasgow employer: Sword

Sword is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. With a strong commitment to employee growth through personalised career development plans and a fantastic benefits package, including flexible working arrangements and comprehensive health support, Sword fosters a culture of inclusivity and respect. Located in a vibrant sector, employees are empowered to make a meaningful impact while enjoying a balanced work-life experience.

Sword

Contact Details:

Sword Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer in Glasgow

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sword.

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We think you need these skills to ace Senior Data Engineer in Glasgow

Microsoft Azure Data Services
Azure Data Factory
Azure Synapse
Azure Data Lake
Azure SQL
Microsoft Fabric
Power BI

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Sword, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sword. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Sword

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sword!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.