At a Glance
- Tasks: Join our team to build scalable data solutions and transform client projects in the cloud.
- Company: Accenture, a leader in innovative technology and diverse workplace culture.
- Benefits: Competitive salary, 25 days vacation, private medical insurance, and extra leave for charity work.
- Other info: Flexible working with opportunities for career growth and learning.
- Why this job: Make an impact with cutting-edge tech while developing your skills in a dynamic environment.
- Qualifications: Experience in Python, PySpark/PySQL, and AWS is essential.
The predicted salary is between 45000 - 55000 € per year.
We are looking for a Data Engineer to join our Data & AI practice, part of the larger Cloud First Group. You'll help deliver scalable, business‑critical and end‑to‑end solutions for our client – from data strategy/governance to Core Engineering, enabling them to transform and work in Cloud Technologies.
In our team you will learn:
- Help support the data profiling, ingestion, collation and storage of data for critical client projects.
- Learn agile ways of working and working in an open source stack (PySpark/PySql).
- Use Accenture delivery assets to plan and implement quality initiatives to ensure solution quality throughout delivery.
As a Data Engineer, you will:
- Digest data requirements, gather and analyse large‑scale structured data and validate by profiling in a data environment.
- Design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and clean data.
- Implement data quality procedures on data sources and preparation to visualise data and synthesize insights for business value.
- Support data management standards and policy definition including synthesising and anonymising data.
- Develop and maintain data engineering best practices and contribute to data analytics insights and visualisation concepts, methods and techniques.
We are looking for experience in the following skills:
- Python
- PySpark/PySQL
- AWS
Set yourself apart:
- Palantir
- Palantir Certified Data Engineer
- Certified cloud data engineering (preferably AWS)
What’s in it for you? At Accenture, in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and three extra days leave per year for charitable work of your choice. Flexibility and mobility are required as there will be occasions to spend time on site with our clients and partners to deliver first‑class services.
Equal Employment Opportunity Statement: We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Cloud Data Engineer in Glasgow employer: Accenture UK
Accenture is an exceptional employer for Cloud Data Engineers, offering a dynamic work culture that fosters innovation and collaboration in the heart of Glasgow. With a competitive salary and a comprehensive benefits package, including generous vacation time and opportunities for charitable work, employees are encouraged to grow both personally and professionally while working on impactful projects that leverage cutting-edge cloud technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PySpark, or AWS. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data engineering. Think about how you can relate your past experiences to the role and be ready to discuss your approach to data quality and ETL processes.
✨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 Accenture.
We think you need these skills to ace Cloud Data Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Cloud Data Engineer role. Highlight your experience with Python, PySpark, and AWS, and don’t forget to mention any relevant projects that showcase your skills in data engineering.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data engineering and how your background aligns with our needs. Be genuine and let your personality come through!
Showcase Your Projects:If you've worked on any cool data projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we love seeing practical examples of your skills in action.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and helps us get to know you better!
How to prepare for a job interview at Accenture UK
✨Know Your Tech Stack
Make sure you’re well-versed in Python, PySpark, and PySQL. Brush up on your knowledge of AWS as well, since these are key skills for the role. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data challenges in previous roles. Think about specific instances where you designed ETL processes or improved data quality. This will demonstrate your ability to deliver scalable solutions.
✨Understand Agile Methodologies
Familiarise yourself with agile ways of working, as this is crucial for the role. Be prepared to discuss how you’ve worked in agile teams before and how it has helped you deliver projects efficiently.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and governance practices. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
