At a Glance
- Tasks: Design and build robust data pipelines using Azure technologies and mentor junior engineers.
- Company: Sword, a leader in business technology solutions for Energy, Public, and Finance sectors.
- Benefits: Competitive salary, flexible working, personalised career development, and comprehensive benefits package.
- Other info: Inclusive workplace culture that values diversity and supports professional growth.
- Why this job: Join a dynamic team, work with cutting-edge tech, and make a real impact on client outcomes.
- Qualifications: Experience with Azure Data Factory, SQL, Python, and mentoring skills.
The predicted salary is between 50000 - 60000 £ per year.
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 Data Engineer role offers an excellent opportunity for someone with a good understanding and working knowledge of designing and building robust data pipelines, integrating complex data sources, and developing solutions using Azure Data Services, Microsoft Fabric, Power BI, and Purview.
As an experienced Data Engineer, you will handle more advanced engineering tasks, drive improvements to existing pipelines, and contribute to the design of scalable, high quality data architectures. You’ll collaborate directly with clients and cross-functional teams, translating real business needs into effective data solutions while beginning to support and mentor junior engineers.
This role is ideal for someone who wants to grow toward senior-level responsibilities, gain exposure to architectural thinking, and work with cutting-edge technologies, including Microsoft Foundry as part of emerging AI-driven capabilities. Candidates should apply if they’re looking for a role that blends hands-on engineering, problem-solving, continuous learning, and meaningful contribution to client outcomes within a high-performing Data & AI business unit.
A Data Engineer is responsible for several key activities:
- Design, build, and maintain scalable, secure, and high performing data pipelines using Azure Data Factory, Synapse, Fabric Pipelines, or Databricks
- Integrate data from multiple systems into Azure Data Lake Storage or OneLake, ensuring consistency, reliability, and performance
- Develop and maintain ELT/ETL processes using Azure-native tools and Fabric capabilities, optimising for cost and performance
- Build and maintain Microsoft Fabric artefacts including lakehouses, warehouses, notebooks, dataflows, and semantic models
- Perform advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytics and reporting
- Manage and optimise data models used by Power BI, ensuring good performance, relationships, quality, and reusability
- Support enterprise BI development by preparing datasets, semantic models, and reusable components within Power BI and Fabric
- Apply data governance and security best practices by implementing Purview classification, lineage, access controls, and policies
- Conduct data quality checks, data validation routines, and issue resolution to ensure trustworthy and reliable datasets
- Work closely with cross-functional teams (data architects, analysts, data scientists, product teams) to understand requirements and translate them into robust data solutions
- Engage directly with clients and stakeholders to clarify data needs, communicate progress, and explain technical concepts in a clear, accessible way
- Take ownership of more complex engineering tasks and assist senior engineers with solution components requiring deeper technical insight
- Mentor junior engineers by providing guidance, performing code reviews, and sharing best practices in engineering standards and Azure environments
- Contribute to CI/CD processes, version control practices, and automated deployment pipelines for data solutions
- Support the creation of documentation for pipelines, datasets, data models, and solution designs
- Troubleshoot pipeline failures, performance issues, and data inconsistencies, ensuring the stability and reliability of production workloads
- Stay current with emerging tools and capabilities across Azure, Microsoft Fabric, Power BI, Purview, and Microsoft Foundry
- Identify opportunities to improve efficiency, automation, scalability, or maintainability across existing pipelines and solutions
- Contribute to internal knowledge sharing, best-practice development, and engineering accelerators or templates
Requirements:
- Deep understanding of Azure Data Factory, Synapse, Fabric, Power BI and Databricks
- Experience in Fabric/data architecture
- Experience in Fabric/data migrations
- Understanding of the requirements of stringent data governance
- Ability to consult with clients
- Proven experience of mentoring teams
- Experience of advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytics and reporting
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.
Data Engineer in Glasgow employer: Sword Group
Sword is an exceptional employer that prioritises the growth and well-being of its employees, offering personalised career development plans and a fantastic benefits package that includes flexible working arrangements and comprehensive health support. With a strong commitment to diversity and inclusion, Sword fosters a collaborative work culture where every team member is encouraged to contribute and thrive, making it an ideal place for Data Engineers looking to advance their careers in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. The more people know you're on the hunt for a Data Engineer role, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, projects, and any cool stuff you've built using Azure Data Services or Power BI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with clients and cross-functional teams.
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Sword.
We think you need these skills to ace Data Engineer in Glasgow
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with Azure Data Services, data pipelines, and any relevant technologies mentioned in the job description. We want to see how your skills align with what we're looking for!
Showcase Your Problem-Solving Skills:In your application, share specific examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions!
Keep It Clear and Concise:While we appreciate detail, make sure your application is easy to read. Use bullet points where possible and avoid jargon unless it's relevant. We want to understand your experience without getting lost in the details!
Apply Through Our Website:We encourage you to submit your application directly through our website. This way, you’ll ensure it reaches the right people and you can keep track of your application status easily. Plus, it’s super straightforward!
How to prepare for a job interview at Sword Group
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Data Factory, Synapse, and Power BI. Brush up on your knowledge of data pipelines and how to integrate complex data sources. Being able to discuss specific projects where you've used these tools will show your hands-on experience.
✨Showcase Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, especially around data transformations and pipeline optimisations. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Engage with Real Business Needs
Understand the business context behind the technical requirements. Be ready to explain how your work as a Data Engineer can directly impact client outcomes. This shows that you’re not just a techie but also someone who understands the bigger picture.
✨Mentorship Mindset
Since this role involves mentoring junior engineers, be prepared to discuss your approach to guiding others. Share examples of how you've supported team members in the past, whether through code reviews or sharing best practices. This will demonstrate your leadership potential.
