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- Tasks: Support data profiling, ingestion, and storage for critical client projects.
- Company: Join Accenture, a global leader in professional services and innovation.
- Benefits: Competitive salary, 25 days vacation, private medical insurance, and extra leave for charity work.
- Why this job: Work with cutting-edge tech and make a real impact in a vibrant environment.
- Qualifications: Experience with Palantir, Python, and cloud platforms like AWS or GCP.
- Other info: Flexible working with opportunities for training and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Cloud Data Engineer
Location: Leeds, UK
Salary: Competitive Salary + Package (dependent on experience)
Career Level: (Accenture will be recruiting at the following levels: 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 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 Cloud 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 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.
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 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 (Must Have)
- 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.
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.
Data Engineer - Palantir employer: Accenture UK & Ireland
Contact Detail:
Accenture UK & Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Palantir
✨Tip Number 1
Network like a pro! Reach out to current or former 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, especially in Palantir, Python, and PySpark. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Show your passion for data engineering! During interviews, share specific projects or experiences where you’ve tackled data challenges. This will help you stand out as someone who genuinely cares about the field.
✨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 the team at Accenture.
We think you need these skills to ace Data Engineer - Palantir
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Palantir, Python, and any cloud technologies like AWS or GCP. We want to see how your skills match 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. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see how you've applied your skills in real-world scenarios.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you're serious about joining our awesome team at Accenture!
How to prepare for a job interview at Accenture UK & Ireland
✨Know Your Tech
Make sure you brush up on your knowledge of Palantir, Python, and PySpark/PySQL. Be ready to discuss how you've used these technologies in past projects. It’s not just about knowing them; show how you can apply them to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Accenture values innovative thinking. Prepare examples of how you've tackled complex data challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Understand Their Values
Familiarise yourself with Accenture's core values like inclusion, diversity, and client value creation. Be prepared 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 and the team dynamics. This shows your genuine interest in the position and helps you assess if it’s the right fit for you. Ask about their approach to data governance or how they implement agile methodologies.
