At a Glance
- Tasks: Design and develop data pipelines, implement ETL processes, and adopt DevOps practices.
- Company: Capgemini is a global leader in business and technology transformation, driving digital and sustainable change.
- Benefits: Enjoy hybrid working, flexible hours, and access to 250,000 training courses and certifications.
- Why this job: Join a diverse team, innovate with cutting-edge technology, and make a real-world impact.
- Qualifications: Proficiency in AWS tools, programming skills in Python/Java/Scala, and experience with data storage technologies required.
- Other info: Must obtain Developed Vetting clearance; UK residency for the last 10 years is essential.
The predicted salary is between 43200 - 72000 £ per year.
The Cloud Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Cloud Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers' digital and data transformation journey using the modern cloud platforms. We specialise in using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP.
Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service).
Your role:
- Design and Develop Data Pipelines: Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting.
- Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and AWS tools.
- Adopt DevOps Practices: Utilize DevOps methodologies and tools for continuous integration and deployment (CI/CD), infrastructure as code (IaC), and automation to streamline and enhance our data engineering processes.
- Design Data Solutions: Leverage your analytical skills to design innovative data solutions that address complex business requirements and drive decision-making.
Your skills and experience:
- Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR, Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.
- Programming Skills: Strong experience with modern programming languages such as Python, Java, and Scala.
- Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop.
- Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets.
To be successfully appointed to this role, it is a requirement to obtain Developed Vetting (DV) clearance. To obtain DV clearance, the successful applicant must have resided continuously within the United Kingdom for the last 10 years, along with other very detailed criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.
You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.
You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
Why you should consider Capgemini:
Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses. And it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge and always pushing yourself to do better, you’ll build the skills you want. And you’ll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is.
About Capgemini:
Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
AWS Data Engineer employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Familiarise yourself with the specific AWS tools mentioned in the job description, such as AWS Glue and Amazon Kinesis. Having hands-on experience or projects showcasing these tools can set you apart during discussions.
✨Tip Number 2
Network with current AWS Data Engineers or professionals in similar roles. Engaging in conversations about their experiences can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Stay updated on the latest trends and technologies in cloud data engineering. Being knowledgeable about advancements in AWS and related frameworks will demonstrate your passion and commitment to the field.
✨Tip Number 4
Prepare for potential technical interviews by practising coding challenges in Python, Java, or Scala. Focus on data manipulation and ETL processes, as these are crucial for the role.
We think you need these skills to ace AWS Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS tools and data engineering. Use specific examples of projects where you've designed data pipelines or implemented ETL processes to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for cloud technology and how it aligns with the role. Mention your familiarity with DevOps practices and your ability to design innovative data solutions that meet business needs.
Showcase Relevant Skills: Clearly list your programming skills, especially in Python, Java, and Scala, as well as your experience with data storage technologies like AWS Redshift and AWS S3. This will help you stand out as a strong candidate.
Prepare for Security Clearance Questions: Since this role requires Developed Vetting (DV) clearance, be ready to answer questions about your residency and nationality. Familiarise yourself with the criteria for DV clearance to ensure you can provide accurate information.
How to prepare for a job interview at Capgemini
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS tools like Glue, Lambda, and Kinesis. Be prepared to discuss specific projects where you implemented these technologies, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Demonstrate Your Programming Skills
Since strong programming skills in languages like Python, Java, or Scala are essential, be ready to talk about your coding experience. You might even be asked to solve a coding challenge, so brush up on your algorithms and data structures.
✨Understand Data Engineering Concepts
Familiarise yourself with ETL/ELT processes and data pipeline design. Be prepared to explain how you would approach building a data solution for a complex business requirement, showcasing your analytical thinking and creativity.
✨Prepare for Security Clearance Questions
Since the role requires Developed Vetting (DV) clearance, be ready to answer questions about your residency and nationality. Understanding the security requirements will show that you are serious about the position and have done your homework.