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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.
Overview
Cloud Data Engineer • Location: London, UK • Salary: Competitive Salary + Package (dependent on experience) • Career Level: Specialist & Associate Manager
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 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 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
Role Context
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 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 thinking and boundaryless opportunities to drive your career in new and exciting ways. This is a challenging career in a vibrant environment with access to training and a global network of experts.
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 the open source stack (PySpark/PySql).
- Support quality engineering 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.
Skills and Qualifications
- 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
In addition to a competitive base salary, Accenture offers an extensive benefits package including 25 days of 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, with time onsite at client sites as needed to enable delivery of first-class services.
About Accenture
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 combine unmatched experience and specialized capabilities across more than 40 industries—powered by the world\’s largest network of Advanced Technology and Intelligent Operations centers. With 509,000 people serving clients in more than 120 countries, Accenture helps clients improve performance and create lasting value. Visit us at www.accenture.com
Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.
Closing Date for Applications 28/11/25
Accenture reserves the right to close the role prior to this date should a suitable applicant be found.
RROOTS • #LI-EU
Equal Employment Opportunity
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, military veteran status, sexual orientation, gender identity or expression, genetic information, 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.
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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.
