At a Glance
- Tasks: Design and build scalable data platforms using Apache Spark, AWS, and Java Microservices.
- Company: Join Capgemini, a global leader in tech transformation and innovation.
- Benefits: Enjoy hybrid working, competitive salary, and extensive training opportunities.
- Other info: Be part of a diverse team committed to ethical practices and employee wellbeing.
- Why this job: Make a real impact by enabling data-driven insights and innovative solutions.
- Qualifications: Experience with Spark, Scala, AWS, and BI tools like Tableau is essential.
The predicted salary is between 63000 - 77000 £ per year.
About the Job you are considering
We are seeking a highly skilled Data Engineer with strong expertise in Apache Spark AWS Scala TABLEAU and JAVA Microservices Architecture to design and build scalable cloud native data platforms and applications.
The ideal candidate will have experience in developing high performance data processing solutions implementing robust Dev Ops practices and enabling data driven business insights through modern data engineering frameworks.
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.
Your Role
- Design develop and maintain scalable data pipelines and distributed data processing solutions using Spark and Scala.
- Strong experience in BI tools like TABLEAU and strong experience in SQL.
- Design and implement JAVA Microservices based Architecture for data and business applications.
- Develop and optimize data ingestion transformation and processing frameworks on AWS Cloud.
- Leverage AWS services such as S3 EMR Lambda ECSEKS Glue and Redshift to build enterprise grade solutions.
- Implement CICD pipelines and automate deployments using modern Dev Ops practices.
- Work closely with business analytics and product teams to understand data requirements and deliver robust solutions.
- Ensure high standards of performance scalability security and reliability across applications and data platforms.
- Support reporting and analytics initiatives by integrating data with Tableau and other BI tools.
- Participate in architecture discussions code reviews and technical mentoring.
Your Skills
- Strong hands on experience in Tableau development.
- Expertise in Apache Spark for largescale data processing.
- Strong programming experience in Scala.
- Experience with AWS Cloud services and cloud native architecture.
- Deep understanding of Microservices Architecture REST APIs and distributed systems.
- Strong Dev Ops knowledge including Git Jenkins Docker Kubernetes CICD and Infrastructure as Code.
- Solid understanding of SQL No SQL databases data modeling and performance tuning.
- Working knowledge of Tableau and data visualization ecosystems.
We are a Disability Confident Employer
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme.
As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
- Declare they have a disability, and
- Meet the minimum essential criteria for the role.
Please opt in during the application process.
Make It Real (what does it mean for you)
- You'd be joining an accredited Great Place to work for Wellbeing in 2024.
Employee wellbeing is vitally important to us as an organization.
We see a healthy and happy workforce a critical component for us to achieve our organizational ambitions.
- To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
- 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 Manage Mentor, Cybersecurity qualifications and much more.
- You will be joining one of the World's Most Ethical Companies®, as recognized by Ethisphere® for 13 consecutive years.
We live our values by making ethical business choices every day.
Working ethically is at the center of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.
Why you should consider Capgemini
Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask.
When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts.
We 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.
You'll use your skills to help our clients leverage technology to innovate and grow their business.
So, it might not always be easy, but making the world a better place rarely is.
About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
We imagine the future of organizations and make it real with AI, technology and people.
With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries.
We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
The Group reported 2024 global revenues of €22.1 billion.
Make it real | www. capgemini. com
Data Engineer in Slough employer: Capgemini
Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Slough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Capgemini!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Capgemini.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Capgemini.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Capgemini, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Capgemini, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capgemini. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Capgemini
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Capgemini!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
