At a Glance
- Tasks: Implement and deploy Data 360 solutions in enterprise environments.
- Company: Salesforce, the leading AI CRM driving workforce transformation.
- Benefits: Competitive salary, innovative culture, and opportunities for career growth.
- Other info: Dynamic role with exposure to cutting-edge data engineering technologies.
- Why this job: Join a team shaping the future of AI and customer success.
- Qualifications: Experience in production implementation and a builder mindset.
The predicted salary is between 81000 - 99000 £ per year.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
Here, ambition meets action.
Tech meets trust.
And innovation isn’t a buzzword — it’s a way of life.
The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era?
You’re in the right place!
Agentforce is the future of AI, and you are the future of Salesforce.
D360 FORWARD DEPLOYED ENGINEERAbout Salesforce Salesforce brings customer data, CRM, analytics, and AI together on a trusted platform.
Our teams help organizations turn complex business and data requirements into secure, scalable solutions.
In this role, you will help customers put Data 360 into production and build the technical foundation for reliable, enterprise-grade use cases.
About the Role Production implementation experience required.
Builder mindset non-negotiable.
Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforce’s real-time data engine that unifies data from any source.
As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments.
You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness.
Data 360 is also the data foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering.
You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the layer you build.
You'll work within a delivery team that includes architects, deployment strategists, Agentforce FDEs,
Data360 FDE in London employer: Salesforce
Salesforce is an exceptional employer that champions innovation and inclusivity, making it a prime choice for those looking to thrive in the fast-paced tech landscape of the UK. With a strong focus on employee growth, comprehensive benefits, and a collaborative work culture, Salesforce empowers its team members to unleash their potential while driving meaningful change in the world through AI. Join us to not only advance your career but also to be part of a company that values trust, ambition, and customer success.
StudySmarter Expert Advice🤫
We think this is how you could land Data360 FDE in London
✨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 Salesforce!
✨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 Data360 FDE at Salesforce.
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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 Salesforce.
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When you find a suitable opening like Data360 FDE at Salesforce, 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 Data360 FDE in London
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 Salesforce, 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 Salesforce. 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 Salesforce
✨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 Salesforce!
✨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.
