Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support data profiling, ingestion, and storage for critical client projects.
- Company: Join Accenture, a global leader in professional services with a focus on innovation.
- Benefits: Enjoy 25 days vacation, private medical insurance, and extra leave for charity work.
- Why this job: Make an impact with cutting-edge cloud technologies and diverse projects.
- Qualifications: Experience with Python, PySpark, and cloud platforms like AWS or GCP.
- Other info: Dynamic environment with access to training and a global network of experts.
The predicted salary is between 28800 - 48000 ÂŁ per year.
Cloud Data Engineer
Location : London, UK
Salary : Competitive Salary + Package (dependent on experience)
Career Level: (Accenture will be recruiting at the following levels : 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. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.
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. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.
“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO
As a team:
We have exciting opportunities for a Data Engineer to join our Data & AI practice, part of larger Cloud First Group. We 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.
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
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\’ll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.
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 utilise 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 validates 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.
RROOTS
#LI-EU
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at
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 employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Accenture on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about Python, PySpark, and cloud technologies. We want to see that you can walk the walk, not just talk the talk!
✨Tip Number 3
Show off your passion for data! During interviews, share examples of projects where you've used data to solve problems. This will help us see how you think and how you can add value to our team.
✨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 serious about joining our awesome team at Accenture.
We think you need these skills to ace Cloud Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Cloud Data Engineer role. Highlight relevant skills like Python, PySpark, and any cloud certifications you have. We want to see how your experience aligns with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team. Let us know why you’re excited about working with us at Accenture.
Showcase Your Projects: If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work that demonstrate your skills in data profiling, ETL processes, or cloud technologies. We love seeing real examples!
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 part of our streamlined application process. We can’t wait to see your application!
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, like Python, PySpark, and cloud platforms such as AWS or GCP. Brush up on your knowledge of ETL processes and data quality procedures, as these will likely come up during technical questions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled data challenges in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you’ve used data engineering best practices to deliver impactful solutions.
✨Emphasise Collaboration and Agile Experience
Accenture values teamwork and agile methodologies. Be ready to share experiences where you’ve worked in cross-functional teams or contributed to agile projects. This shows you can thrive in their innovative culture and adapt to dynamic work environments.
✨Align with Their Values
Familiarise yourself with Accenture’s core values, such as inclusion, diversity, and client value creation. During the interview, express how your personal values align with theirs and how you can contribute to their mission of making a positive impact in the community.
