At a Glance
- Tasks: Lead the engineering strategy for data projects and shape future portfolio requirements.
- Company: Join Capgemini, a global leader in tech transformation with a focus on sustainability.
- Benefits: Enjoy hybrid working, competitive salary, and a supportive community focused on wellbeing.
- Other info: Be part of a diverse team committed to continuous learning and professional growth.
- Why this job: Make a real impact by driving innovation and shaping the future of data engineering.
- Qualifications: Extensive experience in data engineering and strong leadership skills required.
The predicted salary is between 63000 - 77000 £ per year.
About the job you're considering
Our Data Portfolio is experiencing sustained growth driven by significant new contract wins and demand that continues to exceed original forecasts.
To maintain delivery excellence, reduce operational risk, strengthen engineering leadership, and build the capability required for future growth, we are seeking a Data Engineering Strategy Lead to shape and lead our engineering strategy for new and emerging work across the portfolio.
This role will play a key part in shaping the future direction of the Data & Intelligence Portfolio by assessing new, changing, and emerging work and defining the most effective strategic response.
It will bring clarity to complex or ambiguous demand by understanding the nature of the work, identifying the right people and stakeholders to involve, and determining the technical, delivery, and leadership capabilities required for successful delivery.
The role will translate this understanding into a clear roadmap of future portfolio requirements, supporting informed decisions around capability, investment, and workforce planning.
The role sits at the intersection of business growth, workforce strategy, capability development and engineering leadership.
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
The purpose of this role is to help the Data & Intelligence Portfolio assess, shape, and define the right strategic approach for new, changing, and emerging work.
The role will bring structure to ambiguous demand by understanding what the work involves, identifying who needs to be engaged, and defining the technical, delivery, leadership, and capability skills required to deliver it successfully.
It will translate these requirements into a clear roadmap of portfolio demand, skills, investment priorities, and future capability needs, while continuing to provide strong technical leadership across data engineering, architecture, testing, analytics, operations, automation, AI-assisted engineering, Dev Ops, and cloud-first delivery.
The role will also support the growth of engineering capability across permanent, contractor, graduate, apprentice, and partner talent, ensuring the portfolio has the right skills, standards, leadership, and communities in place to meet current delivery commitments and future growth.
- Your skills and experience
- Engineering Strategy & Capability Planning
- Identify and shape opportunities for growth, including new work, capability development, bid support and stronger use of data engineering capability across the wider Insights & Data Practice.
- Clarify what new work involves, who needs to be engaged, and what technical, delivery, and leadership skills are required to deliver it successfully.
- Translate future work and capability requirements into a clear roadmap of portfolio demand, skills, and investment priorities.
- Define and maintain the Data Portfolio engineering capability requirements and identify capability gaps across the portfolio.
- Support across permanent, contractor, graduate, apprentice, and partner talents.
- Technical Leadership
• Provide leadership across engineering capability areas including
- Data Integration
- Data Engineering
- Data Architecture
- Data Quality & Testing
- Data Analytics, Reporting and Visualization
- Operations & Support
- Establish standards, best practices, and engineering guardrails.
- Drive adoption of modern engineering approaches, automation, AI-assisted engineering, Dev Ops, and cloud-first delivery models.
- Promote engineering excellence, innovation, and continuous improvement across the portfolio.
- Community & Talent Development
- Mentor senior engineers and future technical leaders.
- Drive a culture of continuous learning and professional development.
- Support succession planning for critical engineering leadership roles.
- Stakeholder Management
- Act as a trusted advisor to senior portfolio and practice leadership.
- Bring the right stakeholders together early to assess emerging work, shape the right solution, and agree the skills, leadership, and capability needed.
- Influence investment decisions relating to engineering capability growth.
- Work closely with Delivery Managers and Chief Engineers to address emerging demand and risks.
Essential Experience
- Extensive experience in Data Engineering, Data Architecture, or Data Technology leadership roles.
- Experience operating across large-scale data programmes or portfolios.
- Proven ability to assess ambiguous or emerging demand, define the strategic response, and translate this into a practical roadmap of portfolio requirements.
- Experience building and growing technical communities.
- Experience influencing senior stakeholders and leadership teams.
- Demonstrable leadership of engineering transformation, modernisation, or capability improvement initiatives.
Technical Knowledge Strong understanding of multiple areas across the Data Engineering ecosystem, including:
- Modern data Integration and ETL/ELT platforms
- SQL and Data Modelling
- Cloud Data Platforms and Services
- Dev Ops, CI/CD and automation approaches
- Data Architecture and Data Engineering best practices
- AI-enabled engineering approaches
- Data Governance and Data Quality principles Leadership Skills The successful candidate will demonstrate:
- Strategic thinking
- Technical leadership
- Commercial awareness
- Consultancy and stakeholder management
- Influencing and negotiation skills 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.
Data Engineering Strategy Lead in Manchester 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 Engineering Strategy Lead in Manchester
✨Get Involved in Data Science Meetups
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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.
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We think you need these skills to ace Data Engineering Strategy Lead in Manchester
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.
