At a Glance
- Tasks: Transform strategic intent into live systems and solve complex business challenges.
- Company: Join STRATOS, a rapidly growing startup redefining data-driven decision-making.
- Benefits: Competitive salary, stock options, flexible work, and mentorship from industry leaders.
- Why this job: Be at the forefront of innovation, making a real-world impact with cutting-edge technology.
- Qualifications: 2-4 years in data engineering, strong skills in PySpark, Python, and SQL.
- Other info: Dynamic office in London, committed to social responsibility and environmental sustainability.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for a passionate Forward Deployed Engineer to join our team at STRATOS – someone eager to sit at the intersection of cutting-edge technology and real-world impact. As a Forward Deployed Engineer, you’ll work shoulder-to-shoulder with industry leaders to embed our platform deep into their operations – transforming strategic intent into live systems that drive measurable results. In today’s world, where the last mile of implementation creates the competitive moat, you’ll be the catalyst turning software into scale.
At STRATOS Technologies, we are transforming how companies make data-driven decisions with our innovative Strategy Operating System. Our software integrates complex datasets into a unified solution, enabling businesses to strengthen their long-term strategies through clear and actionable insights.
Our founders, former business and tech executives who led a $1B division at a Fortune 500 industrial company, originally built a digital twin of their enterprise to drive synchronized planning and execution. Seeing the market’s lack of such a system, they launched STRATOS in 2022 with a bold mission: to build the world’s first strategy operating system that unifies all internal and external data into a single platform.
Today, STRATOS is a category-defining, rapidly growing startup funded extensively by high-profile investors (e.g., Accel) and trusted by nearly a dozen global industrial leaders and Fortune 500 customers. Our software integrates complex datasets into a unified solution, combining deep data integration, best-in-class workflows, and cutting-edge generative AI.
From commercial AI agents to embedded intelligence that supercharges lean teams, STRATOS enables businesses to achieve 10x productivity and strengthen long-term strategies through actionable insights. We are now expanding our team to accelerate our growth even further and help our customers outperform their competition.
While we have a scalable technology backbone, we believe that Forward Deployed Engineering is the future of differentiated B2B SaaS in the GenAI age. Rather than shipping static tools, we partner closely with customers to deliver dynamic, tailored solutions where value is created in the implementation layer – not just the codebase.
Responsibilities
- Ensure client implementations are working successfully
- Solve our customers’ hardest business challenges by adapting and deploying the STRATOS platform to their needs
- Design and implement scalable generative AI workflows using platforms like Palantir AIP
- Execute complex data integration using PySpark and other distributed technologies
- Collaborate directly with clients to understand context, priorities, and key outcomes
Requirements
- Minimum 2-4 years of solid experience in data engineering or analytics
- Experience at start-up companies and/or an excitement to experience first-hand the adventure that comes with a fast-scaling tech company, alternatively experience at a top-tier consultancy
- The ability to translate complex and sometimes ambiguous business requirements into clean and maintainable data pipelines
- Excellent knowledge of PySpark, Python and SQL fundamentals
- The ability to get to grips with new technologies quickly
Preferred Skills and Qualifications
- Experience in dashboarding tools, Typescript and API development
- Familiarity with Airflow, DBT, Databricks
- Experience working with Enterprise Resource Planning (e.g. Oracle, SAP) and CRM systems
Benefits
- Become part of a category-defining startup which transforms how industrial companies operate and compete
- Close collaboration with an elite, interdisciplinary team of seasoned tech and business leaders
- Close mentorship from experienced engineers and operators
- A steep but rewarding learning curve that is designed to challenge you and help you grow
- A highly competitive compensation package
- Attractive Stock options program, allowing you to share in the long-term success and growth of the company
- Flexible hybrid and local work options, with the option for visa sponsorship
- A dynamic, barista-equipped office in the heart of London, designed to foster creativity and collaboration
- A company committed to social and environmental responsibility—we pledge to be a net-zero CO₂ company and donate 1% of our revenue to social causes
Forward Deployed Engineer at STRATOS in London employer: STRATOS Technologies
Contact Detail:
STRATOS Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer at STRATOS in London
✨Tip Number 1
Network like a pro! Reach out to current employees at STRATOS on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that demonstrates how you’d tackle a real-world problem using the STRATOS platform. This will not only impress them but also show your proactive approach.
✨Tip Number 3
Be ready for a technical challenge! Brush up on your PySpark, Python, and SQL skills, as you might face some hands-on tests during the interview. Practice makes perfect, so don’t leave it to chance!
✨Tip Number 4
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 the STRATOS team.
We think you need these skills to ace Forward Deployed Engineer at STRATOS in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for the Forward Deployed Engineer role shine through. We want to see how excited you are about working at the intersection of tech and real-world impact!
Tailor Your Experience: Make sure to highlight your relevant experience in data engineering or analytics. We’re looking for someone who can translate complex business requirements into clean data pipelines, so give us examples that showcase your skills!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for STRATOS. Remember, less is often more!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at STRATOS Technologies
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially PySpark, Python, and SQL. Brush up on your knowledge of data engineering concepts and be ready to discuss how you've used these tools in past projects.
✨Understand STRATOS' Mission
Familiarise yourself with STRATOS’ mission to transform data-driven decision-making. Be prepared to discuss how you can contribute to this goal and provide examples of how you've tackled similar challenges in previous roles.
✨Prepare for Real-World Scenarios
Think about specific business challenges that STRATOS might face and how you would approach solving them. This could involve designing scalable AI workflows or integrating complex datasets. Show them you can think critically and creatively!
✨Show Your Collaborative Spirit
Since the role involves working closely with clients, be ready to share examples of how you’ve successfully collaborated with others in the past. Highlight your communication skills and ability to adapt to different team dynamics.