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- Tasks: Architect and improve data pipelines while collaborating with business stakeholders.
- Company: Join a leading utilities client in Glasgow with a focus on innovation.
- Benefits: 6-month contract with competitive pay and opportunities for professional growth.
- Why this job: Make an impact by delivering high-quality analytics solutions using cutting-edge technology.
- Qualifications: Experience in Python, SQL, and cloud technologies like Azure is essential.
- Other info: Flexible onsite requirements with occasional meetings and workshops.
The predicted salary is between 36000 - 60000 £ per year.
Glasgow - required onsite for occasional meetings and workshops only. 6 Month Contract.
Lorien's Utilities client are currently recruiting for 2 x Data Engineers to join on a 6 month initial contract, inside IR35. As part of your role you will:
- Architect, create, improve, and operationalise integrated and reusable data pipelines, tools and processes.
- Measure performance, efficiency and robustness of data provision and best practice process approaches.
- Deliver commercial value through working with key business stakeholders, IT experts and subject-matter experts and high-quality analytics and data science solutions.
- Understand that solutions and developments need to fit with the long-term Data Strategy for the analytics platform.
- Explore the opportunities presented by using the latest advances in technology and tools alongside contributing to ensure an appropriate operational model exists to support solutions in production.
- Promote a better understanding of data and analytics across business stakeholders.
Stakeholder Management & Communication
- Possesses outstanding communication skills and encourages collaboration across EM.
- Building strong relationships throughout the business is crucial to preserving the trust and respect necessary for the team to continue offering support and guidance.
- Strong communication and stakeholder management skills, with the ability to lead cross-functional projects and drive adoption of data quality practices.
- Promote and champion the exceptional work being accomplished.
To be considered for this role, we would love you to have:
- Extensive experience in programming/query language skills including Python/PySpark and SQL.
- Data engineering experience - via data preparation, transformation & conversion to allow for rapid processing of system data across a number of different formats & structures.
- Experience in Databricks, Azure, ADF, Streamlit or alternatives.
- Excellent technical computing, analysis, design and development skills to a proven professional level.
- Good understanding of data streaming concepts with experience designing, analysing (not essential).
- A good understanding of data modelling, ELT design patterns, data governance, and security best practices.
- A problem-solving mindset, curiosity, and adaptability - able to operate as a generalist across multiple data domains.
- A strong background in delivering using cloud-based Microsoft Azure Data and Analytics capabilities, Microsoft DevOps and Agile delivery.
- Experience with designing, building, and operating analytics solutions using Azure cloud technologies.
Should this position be of interest please submit your CV and I will be in contact as required.
Data Engineer in Glasgow employer: Lorien
Contact Detail:
Lorien 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 in the data engineering field, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, projects, and any cool analytics solutions you've built. This is your chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest tools like Azure and Databricks. Be ready to discuss how you've tackled challenges in past projects and how you can add value to the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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 CV: Make sure your CV speaks directly to the job description. Highlight your experience with Python, SQL, and any relevant tools like Databricks or Azure. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of data pipelines or analytics solutions you've worked on. We love seeing how you've delivered commercial value and improved processes in your previous roles. It helps us understand your hands-on experience!
Communicate Clearly: Since strong communication is key, ensure your application reflects this. Use clear language and structure your information well. We appreciate a straightforward approach that shows you can manage stakeholders effectively.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and get in touch. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Lorien
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python, PySpark, and SQL. Be ready to discuss your experience with data pipelines and cloud technologies like Azure. The more confident you are in your technical knowledge, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Highlight your adaptability and curiosity when it comes to exploring new technologies. This will demonstrate your problem-solving mindset, which is crucial for a Data Engineer role.
✨Communicate Effectively
Since strong communication skills are essential, practice explaining technical concepts in simple terms. Think about how you can convey your ideas clearly to non-technical stakeholders. This will show that you can bridge the gap between tech and business needs.
✨Understand the Bigger Picture
Familiarise yourself with the company's long-term data strategy and how your role fits into it. Be prepared to discuss how you can contribute to their goals and promote a better understanding of data across the organisation. This shows you're not just focused on the task at hand but also on the overall vision.
