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- Tasks: Build and optimise data pipelines in a dynamic banking environment.
- Company: Join Accessplc, a leader in data infrastructure and analytics.
- Benefits: Flexible work with 3 days in Glasgow and 2 days remote.
- Why this job: Make an impact in the financial sector using cutting-edge data technologies.
- Qualifications: Experience in SQL, Python, and data engineering is essential.
- Other info: Great opportunity for career growth in a supportive team.
The predicted salary is between 28800 - 43200 £ per year.
I am recruiting for a Data Engineer to work in Glasgow 3 days a week, 2 days remote. The role falls inside IR35 so you will have to work through an umbrella company. Banking / Financial Services experience is required.
You will have a number of years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. Experience in data development and solutions in highly complex data environments with large data volumes.
SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis. Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.
You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud). Hands-on experience with developing data pipelines for structured, semi-structured, and unstructured data and experience integrating with their supporting stores (e.g. RDBMS, NoSQL DBs, Document DBs, Log Files etc).
Please apply ASAP to find out more!
Desired Skills and Experience:
- SQL
- PL/SQL
- Python
- Pandas
- Pyspark
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Data Infrastructure and Analytics
Data Engineer in Glasgow employer: Accessplc
Contact Detail:
Accessplc 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 folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. You never know who might have the inside scoop on job openings!
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio showcasing your projects, especially those involving SQL, Python, and data pipelines. This will give you an edge and make you memorable during interviews.
✨Ace the Interview
Prepare for common data engineering interview questions and be ready to discuss your experience with complex data environments. Practice explaining your thought process when solving problems, as this is often just as important as the right answer.
✨Apply Through Us!
Make sure to apply for the Data Engineer role directly through our website. We’re here to help you land that dream job, and applying through us gives you access to exclusive resources and support!
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 SQL, Python, and any relevant data projects you've worked on. 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 your background in banking or financial services makes you a great fit for us. Keep it concise but impactful!
Showcase Your Projects: If you've developed data pipelines or worked with complex data environments, make sure to mention specific projects. We love seeing real-world examples of your work, especially if they involve Python libraries like Pandas or PySpark.
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’s super easy to do!
How to prepare for a job interview at Accessplc
✨Know Your Data Tools
Make sure you brush up on your SQL, PL/SQL, and Python skills. Be ready to discuss how you've used libraries like Pandas and PySpark in past projects. Prepare examples of complex queries you've written and the data pipelines you've developed.
✨Understand the Banking Sector
Since experience in Banking or Financial Services is a must, do some research on current trends and challenges in the industry. This will help you relate your technical skills to real-world applications during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios or case studies related to data engineering. Think about how you would approach developing solutions in hybrid environments and be ready to explain your thought process clearly.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their data architecture, the tools they use, or how they handle large data volumes. This demonstrates your enthusiasm and helps you gauge if it's the right fit for you.
