At a Glance
- Tasks: Join our team to support data management and develop innovative ETL solutions.
- Company: Accenture, a global leader in professional services with a focus on innovation.
- Benefits: Competitive salary, 25 days vacation, private medical insurance, and extra leave for charity work.
- Other info: Dynamic environment with opportunities for career growth and skill development.
- Why this job: Work with cutting-edge technologies and make a real impact on client projects.
- Qualifications: Experience in Python, PySpark/PySQL, and AWS is preferred.
The predicted salary is between 40000 - 50000 € per year.
Location: Glasgow
Salary: Competitive Salary + Package (dependent on experience)
Career Level: Specialist
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity.
As a team, we have exciting opportunities for a Data Engineer to join our Data & AI practice, part of the larger Cloud First Group. We deliver scalable, business-critical and end-to-end solutions for our clients - from data strategy/governance to Core Engineering, enabling them to transform and work in Cloud Technologies. You’ll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.
In our team you will learn:
- Help support the data profiling, ingestion, collation and storage of data for critical client projects.
- How to develop and enhance your knowledge of agile ways of working and working in open source stack (PySpark/PySql).
- Quality engineering professionals utilize 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, normalise 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 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.
Cloud Data Engineer in Glasgow employer: Accenture
Accenture is an exceptional employer that fosters a culture of innovation and inclusion, making it an ideal place for Cloud Data Engineers to thrive. With a competitive salary and an extensive benefits package, including generous vacation days and opportunities for charitable work, employees are supported in both their professional and personal lives. The Glasgow location offers a dynamic environment where you can develop cutting-edge skills while collaborating with a diverse team dedicated to delivering impactful solutions for clients.
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 on LinkedIn or at local 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
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PySpark, and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data engineering. Brush up on your technical skills and be ready to discuss how you've tackled challenges in past projects.
✨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 awesome 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 is tailored to the Cloud Data Engineer role. Highlight your experience with Python, PySpark, and AWS, and don’t forget to showcase any relevant projects or achievements that align with what we’re looking for.
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 skills can contribute to our team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love seeing how you approach problems and come up with innovative solutions!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Accenture
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, PySpark, and PySQL. Brush up on your AWS knowledge too, as it’s crucial for a Cloud Data Engineer role. Being able to discuss specific projects where you've used these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled data challenges in the past. Think of examples where you’ve designed ETL processes or implemented data quality procedures. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand Accenture's Values
Familiarise yourself with Accenture’s core values like inclusion, diversity, and client value creation. Be ready to share how your personal values align with theirs and how you can contribute to their culture of innovation and stewardship.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and the company’s approach to data governance and cloud technologies. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
