At a Glance
- Tasks: Create advanced data solutions and optimise data pipelines for leading organisations.
- Company: Capgemini, a global leader in tech transformation with a diverse and inclusive culture.
- Benefits: Empowering career growth, collaborative environment, and opportunities to make a real impact.
- Why this job: Join a team that shapes the future of technology and sustainability.
- Qualifications: Five years of experience in data analytics or programming; degree preferred.
- Other info: Be part of a dynamic team with global reach and exciting projects.
The predicted salary is between 28800 - 48000 £ per year.
Overview
This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your role
- Provides advanced data solutions by using software to process, store, and serve data to others.
- Tests data quality and optimizes data availability.
- Ensures that data pipelines are scalable, repeatable, and secure.
- Utilizes a deep dive analytical skillset on a variety of internal and external data.
Your profile
- Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.
- Troubleshoots software and processes for data consistency and integrity.
- Integrates large scale data from a variety of sources for business partners to generate insight and make decisions.
- Translates business specifications into design specifications and code.
- Responsible for writing complex programs, ad hoc queries, and reports.
- Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
- Partners with internal clients to gain an enhanced understanding of business functions and informational needs.
- Gains expertise in tools, technologies, and applications/databases in specific business areas and company-wide systems.
- Leads all phases of solution development.
- Explains technical considerations at related meetings, including those with internal clients and less experienced team members.
- Tests code thoroughly for accuracy of intended purpose.
- Reviews end product with the client to ensure adequate understanding.
- Provides data analysis guidance as required.
- Designs and conducts training sessions on tools and data sources used by the team and self provisioners.
- Provides job aids to team members and business users.
- Tests and implements new software releases through regression testing.
- Identifies issues and engages with vendors to resolve and elevate software into production.
- Participates in special projects and performs other duties as assigned.
Qualifications
- Minimum of five years data analytics, programming, database administration, or data management experience.
- Undergraduate degree or equivalent combination of training and experience.
About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations 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 350,000 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 fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Data Engineer in Manchester employer: myGwork - LGBTQ+ Business Community
Contact Detail:
myGwork - LGBTQ+ Business Community Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Capgemini on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the technical interview by brushing up on your ETL processes and database design skills. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your data solutions and analytics work. This will help us demonstrate your hands-on experience and problem-solving skills during interviews.
✨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 genuinely interested in joining the Capgemini team.
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL processes, database systems, and any relevant programming skills. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Include specific projects where you've implemented data solutions or optimised data pipelines. This gives us a clear picture of your hands-on experience and problem-solving skills in action.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to explain your technical skills in a way that’s understandable. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨Know Your Data
Before the interview, brush up on your data engineering skills. Be ready to discuss ETL processes, database design, and any tools you've used in the past. Capgemini values technical expertise, so showcasing your knowledge will definitely impress.
✨Showcase Problem-Solving Skills
Prepare to share specific examples of how you've tackled data consistency issues or optimised data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how you approached challenges and what the outcomes were.
✨Understand the Business Context
Capgemini is all about helping businesses unlock value through technology. Familiarise yourself with their clients and industries they serve. This will help you connect your technical skills to real-world applications during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the team dynamics, ongoing projects, or how they measure success in data engineering roles. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.