At a Glance
- Tasks: Design and implement SAS solutions for data integration and analytics.
- Company: Join Capgemini, a leader in tech innovation and sustainability.
- Benefits: Access to 250,000 courses, hybrid working, and a supportive culture.
- Why this job: Make a real impact while exploring and innovating with cutting-edge technology.
- Qualifications: Experience in SAS and data engineering, with strong consultancy skills.
- Other info: Empowering environment with endless learning and career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking experienced SAS Consultants/Data Engineers to join our growing team within a large, long-standing public-sector partnership. In this pivotal role within our Data Portfolio, you will contribute to helping our client maximise revenues, bear down on avoidance and evasion, and improve and transform systems. Utilising your SAS expertise, you will help lead development, testing and support of critical solutions in business and technical areas such as fraud detection, data management, business intelligence, application support, and/or analytics. You will work primarily with a product owner, scrum master, solutions architects, and fellow engineers, with regular client and key stakeholder interactions.
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 implement robust, secure and performant SAS-based solutions for data integration and analytics.
- Build, operate and improve data pipelines (e.g., ingestion, transformation, reporting, fraud detection, and analytics) with monitoring, alerting and SLAs.
- Collaborate with product teams and client stakeholders to refine requirements and align decisions to NFRs (cost, performance, security).
- Support incident resolution and ensure service continuity.
- Share knowledge, mentor colleagues, and contribute to Capgemini’s engineering communities of practice.
- Actively participate in Agile ceremonies and work cross-functionally with engineers, analysts and business teams.
Your skills and experience:
- Experience as a Data Engineer delivering large-scale, complex data solutions.
- Expertise in building solutions using SAS 9.x and SAS Viya 3.x/4 (ideally tooling such as SAS Studio, Visual Analytics, Visual Investigator, VDMML, Intelligence Decisioning, Environment Manager).
- Solid understanding of data modelling and ETL.
- Experience designing and implementing batch scheduling solutions, including job and flow deployment using Airflow and/or native SAS schedulers.
- Knowledge of SAS performance optimisation, including database connectivity.
- Ability to partner with Architects to design robust, scalable solutions.
- Ability to incorporate CI/CD best practices into development workflows.
- Excellent client-facing and consultancy skills.
We are a Disability Confident Employer. Capgemini is proud to be 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.
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.
Make it real – what does it mean for you?
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. You will reimagine what’s possible: creating value for the world’s leading organisations through technology to build a sustainable, more inclusive future. You will work with a range of clients all with a unique set of business, technological and societal ambitions, which will make a real impact across the UK.
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.
SAS Data Engineer in Worthing employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SAS Data Engineer in Worthing
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially in SAS and data engineering. Be ready to discuss how your skills can help them tackle challenges like fraud detection and data management.
✨Tip Number 3
Show off your skills! If you’ve worked on relevant projects, create a portfolio or case studies to share during interviews. This will demonstrate your expertise in building robust SAS solutions and data pipelines.
✨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 our team at Capgemini.
We think you need these skills to ace SAS Data Engineer in Worthing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the SAS Data Engineer role. Highlight your experience with SAS 9.x and SAS Viya, and showcase any relevant projects that demonstrate your data engineering skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills align with the job description. Don’t forget to mention your client-facing experience and consultancy skills!
Showcase Your Technical Skills: In your application, be specific about your technical expertise. Mention your experience with data modelling, ETL processes, and any tools like Airflow or SAS schedulers that you've used. This will help us see your fit for the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, you’ll find all the details you need there!
How to prepare for a job interview at Capgemini
✨Know Your SAS Inside Out
Make sure you brush up on your SAS skills, especially with SAS 9.x and SAS Viya. Be ready to discuss specific projects where you've implemented data solutions using these tools, as well as any challenges you faced and how you overcame them.
✨Understand the Role of Data Engineering
Familiarise yourself with the key responsibilities of a Data Engineer, particularly in relation to data integration and analytics. Be prepared to explain how you would design and implement robust data pipelines and how you ensure performance optimisation.
✨Showcase Your Agile Experience
Since this role involves working in Agile teams, be ready to share your experiences with Agile methodologies. Discuss how you've participated in ceremonies and collaborated with cross-functional teams to deliver successful projects.
✨Prepare for Client-Facing Scenarios
Given the importance of client interactions in this role, think of examples where you've successfully communicated complex technical concepts to non-technical stakeholders. Highlight your consultancy skills and how you've built strong relationships with clients.