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For Companies At a Glance
- Tasks: Design and implement cutting-edge data solutions using Oracle technologies.
- Company: Join Capgemini, a leader in data management and analytics.
- Benefits: Competitive salary, security clearance support, and opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights for diverse industries.
- Qualifications: Experience in data warehousing, SQL, Python, and Oracle technologies required.
- Other info: Collaborate with top experts and work on complex client projects.
The predicted salary is between 36000 - 60000 ÂŁ per year.
In order to be considered for this role, you will need to be eligible for UK Security Clearance.
Who You’ll Be Working With
You will join the Enterprise Data Management practice in Capgemini’s Insights and Data (I&D) business unit. Insights and Data is a global business unit covering Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics. Our practice has a strong focus on leading technology vendors, spanning data warehousing, data quality, data governance, data integration and analytics. Capgemini is proud to be a leading partner for Oracle implementations, and this role offers a unique chance to work alongside some of the top experts in the country, delivering Oracle data and analytics solutions on some of the largest and most complex client engagements, across a variety of industry sectors.
The focus of your role
Deriving insight from data is complex – with information critical to organisation decision‑making dispersed across multiple systems, both internally and externally. It is challenging to make sense of the data and we are looking for candidates, with a background in data warehousing, data lakes and data lakehouses in an Oracle context, who can architect modern data platforms that suit agile delivery of data products and present those insights utilising a variety of channels. As an experienced consultant, in addition to developing innovative solutions for our clients, you will keep abreast of the latest developments in the data, analytics and data modelling products and offerings from other vendors, and demonstrate a wider knowledge of data platforms, non‑Oracle and hybrid data ecosystems. You will provide guidance to clients and internally to other resources. You may also offer insights to the wider community through blogs, articles and social media.
What You’ll Bring
Ideal candidates will be able to demonstrate practical experience across the following areas:
- The technical design and implementation of leading‑edge data and analytics solutions, specifically in the domains of data warehousing and data lakehouse design
- Oracle’s PaaS and IaaS data platform technologies such as Oracle Database (including Autonomous Data Warehouse), Object Storage and Oracle Data Integrator
- Oracle’s PaaS and SaaS analytics solutions such as Oracle Analytics Cloud, Fusion Data Intelligence Platform, and Oracle Fusion Cloud’s embedded reporting technologies (OTBI and BI Publisher)
- Programming languages such as SQL and Python
- Logical and physical data modelling, including dimensional modelling and Data Vault 2.0
- Deploying data models and accelerated data integration pipelines into target data warehouse and hybrid data lakehouse platforms
- Working with multiple delivery models, including Agile
Must be eligible for Security Check (SC) or already has SC and is a UK national.
Additional skills of interest include:
- An awareness of other data and analytics platforms, such as Snowflake, Databricks, and PowerBI.
What You’ll Do
At Capgemini you will be able to harness your experience to technically implement complex solutions in the data warehousing, data integration and analytics space, by:
- Operating as a customer‑facing consultant on the design and implementation of complex data and analytics led solutions, such as data lakehouses, and data visualization dashboards
- Working with talented individuals in the UK and abroad, across the whole of the UK, to deliver projects on time and to customer expectations
- Being an advocate of Oracle’s latest cloud‑native data and analytics technologies both internally and in the wider market
- Feeling empowered to take the initiative, learn more, across a range of technologies and share your knowledge with others
Oracle Data and Analytics Consultant employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Oracle Data and Analytics Consultant
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the data and analytics space. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the industry. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Oracle technologies. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into the latest trends in data warehousing and analytics. Brush up on your knowledge of Oracle’s PaaS and IaaS offerings, and be ready to discuss how you can apply them in real-world scenarios.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Oracle Data and Analytics Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Oracle Data and Analytics Consultant role. Highlight your experience with data warehousing, data lakes, and any relevant Oracle technologies. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and analytics, and how your background makes you a great fit for our team. Don’t forget to mention your eligibility for UK Security Clearance.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. We love seeing real-world examples of your work with data platforms and analytics solutions. It helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Capgemini
✨Know Your Oracle Stuff
Make sure you brush up on your knowledge of Oracle's PaaS and IaaS technologies, especially the Autonomous Data Warehouse and Oracle Data Integrator. Being able to discuss these in detail will show that you're not just familiar with the tools, but that you can leverage them effectively in real-world scenarios.
✨Showcase Your Data Modelling Skills
Be prepared to talk about your experience with logical and physical data modelling, including dimensional modelling and Data Vault 2.0. Bring examples of how you've implemented these concepts in past projects, as this will demonstrate your practical expertise and problem-solving abilities.
✨Stay Current with Trends
Capgemini values candidates who keep up with the latest developments in data and analytics. Make sure you can discuss recent trends or innovations in the field, particularly those related to hybrid data ecosystems and other platforms like Snowflake or Databricks. This shows your commitment to continuous learning.
✨Prepare for Client-Facing Scenarios
Since this role involves working directly with clients, practice articulating how you would approach designing and implementing complex data solutions. Think about how you would communicate technical concepts to non-technical stakeholders, as this is key to success in a consultancy role.
