At a Glance
- Tasks: Lead teams in designing and optimising scalable data solutions in a fast-paced environment.
- Company: Join Capgemini, a global leader in tech transformation with a focus on sustainability.
- Benefits: Enjoy hybrid working, competitive salary, and a supportive community for your wellbeing.
- Other info: Be part of a diverse team dedicated to innovation and personal growth.
- Why this job: Make a real impact by leveraging cutting-edge technologies and mentoring future engineers.
- Qualifications: Experience in data engineering, leadership skills, and a passion for continuous improvement.
The predicted salary is between 63000 - 77000 £ per year.
About the job you're considering
Our Data & Intelligence Portfolio continues to experience significant growth, driven by new client engagements and increasing demand across our existing accounts.
As demand continues to exceed forecasts, we are expanding our permanent engineering capability to support delivery excellence, strengthen our technical leadership community, and build sustainable capability for future growth.
We are looking for an experienced Senior Data Engineer to join our growing engineering team and play a key role in delivering high-quality data solutions within a fast-paced, agile environment.
We’re looking for someone who thrives in a fast-moving delivery environment and is comfortable adapting to changing priorities while staying focused on outcomes.
You will take ownership and accountability for delivery, bring a continuous improvement mindset, and actively look for ways to improve quality, efficiency and customer outcomes through innovation, modern engineering practices and new technologies.
Just as importantly, you will be collaborative and team-focused, showing leadership through clear framing, calm decision-making, and the ability to bring your team along on the journey by building shared understanding, explaining the ‘why’, and helping people stay aligned through change.
Experience mentoring junior engineers and supporting others to build confidence and capability is also important.
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
As a Senior Data Engineer, you will lead multiple teams in designing, building and optimising scalable data solutions across modern and existing services, while supporting the successful delivery of complex client programmes.
Where you are leading across multiple teams, you will set the technical direction through the individual technical leads, helping them understand priorities, dependencies, delivery outcomes and the standards expected across their teams.
This role requires someone who can framework clearly, create alignment across teams, and provide the conditions for engineers to deliver confidently and consistently.
You will be expected to adapt quickly to changing priorities, support continuous improvement initiatives, and leverage emerging technologies, including AI, to improve productivity, delivery speed and solution quality.
You will lead in uncertain and evolving delivery environments by helping technical leads and their teams navigate change, make pragmatic engineering decisions, and stay focused on quality and delivery commitments.
The role requires someone who can set the tone for delivery, role model good engineering behaviours, and bring others with them through coaching, constructive challenge and clear communication.
- Your skills and experience
- Data Engineering Delivery
- Design and govern robust, scalable data engineering solutions.
- Support the migration and modernisation of legacy data platforms.
- Collaborate with architects, analysts, testers and business stakeholders to deliver business outcomes.
- Technical Leadership
- Provide technical guidance and support to technical leads and other engineers.
- Promote engineering best practices and coding standards.
- Contribute to technical design discussions and engineering decision-making.
- Promote knowledge sharing and capability development.
- Act as a role model for engineering excellence and continuous learning.
- Set clear expectations, frame delivery goals, and produce practical engineering plans.
- Explain the ‘why’ behind decisions, build shared understanding, and encourage open collaboration across teams.
- Provide coaching, constructive feedback to support engineers’ development.
- Support continuous improvement activities to improve team productivity and delivery performance.
- Help teams identify and remove delivery bottlenecks.
- Quality & Testing
- Demonstrate a strong understanding of test principles, test automation and quality engineering practices.
- Ensure your teams build quality into engineering solutions from the outset, and support reliable and robust delivery.
- Recognise the value of testing specialists in ensuring solutions meet functional and non-functional requirements, and ensure your teams have the right balance of development and testing capability to support quality delivery.
- Encourage automation of testing where appropriate.
- AI-Driven Engineering & Efficiency
- Champion the use of AI-assisted engineering tools and techniques.
- Identify opportunities to improve productivity through automation and AI-enabled delivery.
- Drive continuous improvement across development, testing, documentation and knowledge sharing.
- Share best practices and innovations with the wider engineering community. ________________________________________ Technical Skills Experience across a number of the following:
- Data Integration and ETL/ELT development
- SQL and database technologies
- Data modelling and data transformation
- Cloud data platforms (Azure, AWS or GCP)
- Data warehousing and analytics platforms
- CI/CD pipelines and Dev Ops practices
- Git and modern source control practices
- Data Quality and Data Governance principles Desirable
- Experience with Talend, Denodo, SAS, or AWS Glue.
- Experience within large-scale public sector or regulated environments.
- Cloud certifications.
- Experience using AI engineering tools to improve productivity and delivery outcomes.
- Your security clearance
To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.
To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other 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.
What does ‘Get The Future You Want ‘ mean for you?
You’ll be bringing your unique skills and perspectives to the team, inspiring and taking inspiration from your teammates as you unlock value in everything you do.
You’ll be joining a professional community of experts, who have got your back and will support you, every step of the way.
You’d be joining an accredited Great Place to work for Wellbeing in 2024.
Employee wellbeing is vitally important to us as an organisation.
We see a healthy and happy workforce a critical component for us to achieve our organisational 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.
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 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 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 fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
The Group reported 2024 global revenues of €22.1 billion.
Senior Data Engineer in Hove 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 Senior Data Engineer in Hove
✨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 Senior 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 Senior 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 Senior Data Engineer in Hove
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.