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- Tasks: Support data management and develop ETL patterns for critical client projects.
- Company: Accenture, a leading global professional services company with a culture of 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 drive your career forward.
- Qualifications: Experience in 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 28800 - 48000 £ 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).
- Quality engineering professionals 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 in 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 in 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. Make sure you can confidently discuss Python, PySpark, and AWS or GCP. Practise common data engineering scenarios and be ready to showcase your problem-solving abilities.
✨Tip Number 3
Show your passion for data! During interviews, share examples of projects you've worked on that demonstrate your skills in data profiling, ingestion, and quality procedures. Let them see how much you care about making an impact with data.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the Accenture team and ready to dive into the exciting world of Cloud Data Engineering.
We think you need these skills to ace Cloud Data Engineer in London
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're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team at Accenture. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and how you tackle challenges in data management.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our innovative team at Accenture.
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 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 the interview.
✨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 your skills to deliver impactful solutions.
✨Emphasise Teamwork and Collaboration
Accenture values inclusion and diversity, so be ready to talk about how you’ve worked effectively in teams. Share experiences that demonstrate your ability to collaborate with others, especially in agile environments, and how you contribute to a positive team culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and Accenture’s approach to data engineering. This shows your genuine interest in the position and helps you assess if the company culture aligns with your values.
