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- Tasks: Join our team to design and develop data solutions that drive business insights.
- Company: Accenture, a global leader in professional services with a culture of innovation.
- Benefits: Competitive salary, 25 days vacation, private medical insurance, and extra leave for charity work.
- Why this job: Make an impact by transforming data into valuable insights using cutting-edge technology.
- Qualifications: Experience with Python, PySpark/PySQL, and cloud platforms like AWS or GCP.
- Other info: Flexible working environment with opportunities for career growth and learning.
The predicted salary is between 50000 - 65000 ÂŁ per year.
Salary: Competitive Salary + Package (dependent on experience)
Career Level: Accenture will be recruiting at the following levels: Specialist & Associate Manager
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. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and nextâgeneration technology to each business challenge. We believe in inclusion and diversity and supporting the whole person.
The Team: We have exciting opportunities for a Cloud Data Engineer to join our Data & AI practice, part of the larger Cloud First Group. We deliver scalable, business critical and endâtoâend solutions for our client â from data strategy/governance to Core Engineering, enabling them to transform and work in Cloud Technologies.
Learning Opportunities: 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 visualise data and synthesize insights for business value.
- Support data management standards and policy definition including synthesising and anonymising data.
- Develop and maintain data engineering best practices and contribute to data analytics insights and visualisation concepts, methods and techniques.
Required Skills:
- Python
- PySpark/PySQL
- AWS or GCP
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 firstâclass services we are known for.
Job Details: Seniority level: MidâSenior level, Employment type: Fullâtime, Job function: Consulting, Industries: IT Services and IT Consulting.
Equal Opportunity Employer: 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 in London employer: Accenture UK & Ireland
Contact Detail:
Accenture UK & Ireland Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Engineer - Palantir in London
â¨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.
â¨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about Python, PySpark, and AWS or GCP. We want to see you shine with your knowledge!
â¨Tip Number 3
Showcase your projects! If you've worked on any data engineering projects, be ready to discuss them in detail. We love seeing how you've tackled real-world problems and what solutions you came up with.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, it shows youâre serious about joining the team at Accenture.
We think you need these skills to ace Data Engineer - Palantir in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, PySpark, and 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 â we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from a 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! Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, itâs super easy â just a few clicks and youâre done!
How to prepare for a job interview at Accenture UK & Ireland
â¨Know Your Tech Stack
Make sure youâre well-versed in Python, PySpark, and PySQL. Brush up on your knowledge of AWS or GCP as well. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding.
â¨Understand Data Engineering Fundamentals
Familiarise yourself with ETL processes and data quality procedures. Be prepared to explain how you would approach data profiling, ingestion, and validation. This will demonstrate your ability to handle the core responsibilities of the role.
â¨Showcase Your Problem-Solving Skills
Accenture values innovative solutions. Think of examples where youâve tackled complex data challenges. Be ready to walk through your thought process and the impact of your solutions, as this will highlight your analytical skills.
â¨Emphasise Collaboration and Flexibility
Since the role requires working closely with clients, be prepared to discuss your experience in collaborative environments. Share examples of how youâve adapted to changing requirements or worked in agile teams, as this aligns with Accentureâs culture.