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- Tasks: Support data projects, develop ETL patterns, and ensure data quality for clients.
- 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.
- Why this job: Join a vibrant team, work with cutting-edge tech, and grow your career in data engineering.
- Qualifications: Experience with Python, PySpark/PySQL, and cloud platforms like AWS or GCP.
- Other info: Dynamic environment with opportunities for training and global networking.
The predicted salary is between 36000 - 60000 £ per year.
Location: London, UK
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 Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity.
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 will 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. If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you.
As part of our global team, you will be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.
Responsibilities
- Help support the data profiling, ingestion, collation and storage of data for critical client projects.
- Develop and enhance knowledge of agile ways of working and working in an open source stack (PySpark/PySql).
- Utilise Accenture delivery assets to plan and implement quality initiatives to ensure solution quality throughout delivery.
- 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 visualize data and synthesize insights for business value.
- Support data management standards and policy definition including synthesizing and anonymizing data.
- Develop and maintain data engineering best practices and contribute to data analytics insights and visualization concepts, methods and techniques.
We are looking for experience in the following skills:
- Palantir
- Python
- PySpark/PySQL
- AWS or GCP
Set yourself apart:
- 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.
Closing Date for Applications: 29/02/26. Accenture reserves the right to close the role prior to this date should a suitable applicant be found.
Cloud Data Engineer - AWS/GCP | Data & AI, London employer: Accenture UK & Ireland
Contact Detail:
Accenture UK & Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer - AWS/GCP | Data & AI, London
✨Tip Number 1
Network like a pro! Reach out to current employees at Accenture on LinkedIn. Ask them about their experiences and any tips they might have for landing the Cloud Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills, especially in Python and cloud technologies like AWS or GCP. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your projects! If you've worked on relevant data engineering projects, be ready to discuss them in detail. Highlight your problem-solving skills and how you’ve used tools like PySpark or Palantir to deliver results.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Accenture.
We think you need these skills to ace Cloud Data Engineer - AWS/GCP | Data & AI, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Cloud Data Engineer role. Highlight your experience with AWS or GCP, and any relevant projects you've worked on. We want to see how your skills 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 you can contribute to our team. Be genuine and let your personality come through.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your experience with PySpark, Python, and any ETL processes you've developed. We love seeing candidates who are hands-on with technology!
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 track your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Accenture UK & Ireland
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, GCP, PySpark, and Python. Brush up on your knowledge of ETL processes and data quality procedures, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled data challenges or implemented solutions in previous roles. 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 such as inclusion, diversity, and client value creation. Be ready to discuss how your personal values align with theirs and how you can contribute to their culture of innovation.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and the projects you might be working on. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
