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- Tasks: Design and optimise data pipelines using Python on Databricks and Streamlit.
- Company: Dynamic private sector company in Glasgow with a hybrid work model.
- Benefits: Competitive day rate up to £675, flexible working, and a collaborative environment.
- Why this job: Join a team that drives innovation and delivers impactful data solutions.
- Qualifications: Experience in Python, SQL, and data engineering; strong communication skills required.
- Other info: Opportunity to work with cutting-edge technology and enhance your career in data analytics.
The predicted salary is between 54000 - 90000 £ per year.
Harvey Nash's Client are looking to bring in a contract Data Engineer. You will be responsible for designing, building, managing, and optimizing data pipelines and the data model used by Data Scientists and Traders. Working closely with Data Management teams on governance and security as well as business stakeholders around projects and IT teams to deliver these data pipelines and models effectively into production. This role will focus on python development on the Databricks and Streamlit platforms to deliver operational tools and process efficiencies.
Other Responsibilities
- Architect, create, improve, and operationalise integrated and reusable data pipelines, tools and processes.
- Measuring 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
- Possess 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.
Skill/Experience Required
- 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.
Data Engineer in Glasgow employer: Harvey Nash Group
Contact Detail:
Harvey Nash Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Glasgow
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just tell potential employers what you can do; show them! Create a portfolio of projects that highlight your Python, Databricks, and Streamlit skills. This will give you an edge and demonstrate your hands-on experience.
✨Ace the Interview
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as communication is key in this role. Remember, they want to see how you think!
✨Apply Through Us!
We’ve got your back! Apply for data engineering roles directly through our website. We’re here to help you land that dream job, so take advantage of our resources and support during your 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 is tailored to the Data Engineer role. Highlight your experience with Python, Databricks, and any relevant data engineering projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and creativity in action.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Harvey Nash Group
✨Know Your Tech Stack
Make sure you’re well-versed in Python, PySpark, and SQL, as these are crucial for the Data Engineer role. Brush up on your experience with Databricks and Streamlit, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving mindset and adaptability. Think of specific challenges you've faced in data engineering and how you overcame them, especially in cloud-based environments like Azure.
✨Communicate Effectively
Since strong communication skills are essential, practice explaining complex technical concepts in simple terms. Be ready to discuss how you’ve collaborated with business stakeholders and IT teams to deliver successful data solutions.
✨Understand Data Governance
Familiarise yourself with data governance and security best practices. Be prepared to discuss how you ensure data quality and compliance in your projects, as this will show your understanding of the long-term data strategy.
