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- Tasks: Join our team to design and deliver high-quality data solutions using Azure technologies.
- Company: FSP, a leading consultancy in Digital, Security, and AI solutions.
- Benefits: Enjoy hybrid working, competitive salary, and industry-leading coaching.
- Why this job: Make an impact with cutting-edge data engineering and collaborate with top industry experts.
- Qualifications: Strong skills in Azure data technologies, Python, SQL, and DevOps practices.
- Other info: Be part of a supportive culture that values teamwork and excellence.
The predicted salary is between 30000 - 50000 £ per year.
We have an exciting opportunity for a Data Engineer to join our growing Data Platforms and Solutions Team. The successful applicant will work alongside our architects and consultants to deliver high quality data solutions (predominantly Azure-based) to help our customers become more successful in delivering the insight to maximise and scale automated decision making. Successful candidates can be based out of either of our Glasgow or Reading offices, on a Hybrid working model.
Responsibilities
- Understand customer requirements and work collaboratively to design data solutions that deliver high quality outcomes.
- Enable higher quality data to be created & managed in our customers organisations.
- Develop high quality data products utilising (primarily) cloud native patterns.
- Engineer cloud-based data lake patterns to connect and leverage organisational & external data.
- Provide technical support and guidance through prototyping, testing, build, and launch of data products.
- Contribute towards the creation of technical support and design documentation for data platforms and solutions.
- Contribute to continually refining our development standards and best practices.
About you
- Strong technical expertise using core Microsoft Azure data technologies: Data Factory, Databricks, Data Lake, Azure SQL, Fabric, Synapse, Data Catalog, Purview.
- A strong background in Python development (for data engineering) and SQL.
- Proficient with Azure databases such as Synapse EDW, SQL Managed Instance, and Azure SQL.
- Skilled in Devops (CI/CD) implementations, including IaC deployments (Bicep, Terraform, etc.).
- Strong expertise in designing and building scalable data models to support business requirements.
- Adept at team collaboration and task tracking with Azure DevOps, adhering to Scrum/Agile methodologies.
Knowledge and experience of the following would be advantageous:
- Azure services used for infrastructure build and monitoring (ARM, Policy, Monitor, Log Analytics etc).
- Knowledge of data engineering within alternative cloud providers (AWS, GCP).
- Implementation of big data/analytics services.
- Supporting AI/Machine Learning workflows at production-level scale.
- NoSQL databases such as Cosmos DB or Mongo DB.
- Experience in working with Power BI, including Power Query, DAX, and Power BI Service.
What we look for in our people
- Strong alignment with FSP values and ethos.
- Commitment to teamwork, quality and mutual success.
- Proactivity with an ability to operate with pace and energy.
- Strong communication and interpersonal skills.
- Dedication to excellence and quality.
Why work for FSP?
- A collaborative and supportive environment in which you can grow and develop your career.
- The tools and opportunity to do work you can be proud of.
- A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience.
- Hybrid working – we empower you to make smart choices about when and where to work to achieve great results.
- Industry leading coaching and mentoring.
- Competitive salary and an excellent benefits package.
Equal and Fair Opportunity
FSP is an equal opportunity employer, and we welcome applications from all suitable candidates. We consider all applicants for employment regardless of age, disability, sexual orientation, gender identity, family or parental status, race, colour, nationality, ethnic or national origin, religion or belief. Research suggests that applicants from under‑represented groups are less likely to apply for roles if they do not precisely meet requirements, or if they felt there were clear barriers as to who should apply. If you are excited about a potential role with us but are concerned that you may not be a perfect fit, please do apply, as you may be the ideal candidate for this role or for a different vacancy within FSP. We endeavour to always provide fair opportunity for applicants to showcase themselves in the best way possible during any interviews or meetings. If you require any adjustments for a call or in‑person meeting, please let us know.
Data Engineer in Glasgow employer: FSP
Contact Detail:
FSP Recruiting Team
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 on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research the company and practice common interview questions. We want you to feel confident and ready to showcase your skills, especially in Azure and Python.
✨Tip Number 3
Show off your projects! If you've built any data solutions or worked on relevant projects, bring them up during interviews. It’s a great way to demonstrate your hands-on experience and technical expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
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 technologies and data engineering. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Show Off Your Technical Skills: Since this is a Data Engineer position, be sure to emphasise your expertise in Python, SQL, and Azure services. We love seeing specific examples of how you've used these tools to solve problems or improve processes.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you’re a great fit for the team!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at FSP
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Azure data technologies like Data Factory, Databricks, and Azure SQL. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since a strong background in Python development is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data engineering tasks and be ready to explain your thought process.
✨Understand the Business Needs
Familiarise yourself with how data solutions can drive business success. Be prepared to discuss how you've collaborated with teams to design data solutions that meet customer requirements and deliver high-quality outcomes.
✨Emphasise Team Collaboration
This role requires strong teamwork and communication skills. Think of examples where you've worked effectively in a team, especially in Agile environments. Highlight your experience with Azure DevOps and how it helped streamline project management.
