At a Glance
- Tasks: Create AI-driven analytics for trading teams using Databricks and modern LLM workflows.
- Company: Dynamic fintech company in London with a hybrid working model.
- Benefits: Competitive daily rate, flexible working hours, and opportunities for skill development.
- Other info: Collaborative environment with potential for career advancement.
- Why this job: Join a cutting-edge team and shape the future of trading analytics.
- Qualifications: Expertise in Databricks, Spark, and strong data engineering skills required.
The predicted salary is between 60000 - 80000 £ per year.
Duration: Contract
Workload: Full time hours
Setup: Freelance (Daily rate / Limited Company / Umbrella / Sole Trader)
Location: London - hybrid working
We need an AI Engineer with a strong data engineering core to build AI‑powered analytics for front‑office trading teams using Databricks, Spark, and modern LLM workflows.
Key Responsibilities:
- Design and deliver AI‑driven analytics for traders, including seasonality, correlations, regression, forecasting, and scenario modelling.
- Build scalable, reusable data pipelines in Databricks using PySpark, Spark SQL, Delta Lake, and Unity Catalog.
- Perform statistical and econometric analysis on large market and fundamentals time‑series datasets.
- Work directly with traders and analysts to turn ambiguous questions into production‑ready tools and clear insights.
- Implement LLM and agentic workflows (prompt engineering, LangGraph, MCP, tool calling, retrieval, guardrails).
- Productionise solutions with testing, observability, versioning, documentation, and CI/CD.
Must‑Have Skills:
- Hands‑on Databricks and Spark expertise (PySpark, SQL, Delta, Unity Catalog).
- Strong data engineering background: ingestion, modelling, orchestration, performance tuning.
- Solid statistics/econometrics for market time series.
- Experience building and integrating LLM solutions.
- Excellent communication and stakeholder engagement skills.
Nice‑to‑Have:
- Commodity or financial trading background.
- Knowledge of market microstructure, supply/demand fundamentals, or risk.
Creative Engineer employer: Airswift
As a leading employer in the financial technology sector, we offer an innovative and collaborative work environment in London, where creativity meets cutting-edge technology. Our hybrid working model promotes flexibility, while our commitment to employee growth ensures that you will have access to continuous learning opportunities and the chance to work alongside industry experts on impactful projects. Join us to be part of a dynamic team that values your contributions and fosters a culture of excellence and inclusivity.
StudySmarter Expert Advice🤫
We think this is how you could land Creative Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and AI space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks, Spark, and LLMs. We love seeing real-world applications of your work, so make sure to highlight any analytics tools you've built for traders.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you’ve tackled ambiguous problems in the past. We want to see your thought process and how you can turn complex data into clear insights.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to make an impact in the trading analytics space.
We think you need these skills to ace Creative Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with Databricks, Spark, and LLMs, as these are key for us at StudySmarter.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain how your background in data engineering and analytics aligns with our needs. Be specific about your achievements and how they relate to the role.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with AI-driven analytics or data pipelines. This gives us a clear picture of what you can bring to the table.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Airswift
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks, Spark, and LLM workflows. Brush up on PySpark, SQL, and Delta Lake, as these are crucial for the role. Being able to discuss your hands-on experience with these technologies will show that you’re ready to hit the ground running.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've performed statistical and econometric analysis on large datasets. Be ready to explain your thought process when turning ambiguous questions into actionable insights for traders. This will demonstrate your problem-solving abilities and analytical mindset.
✨Communicate Clearly and Confidently
Since excellent communication is a must-have skill, practice articulating complex technical concepts in simple terms. Think about how you would explain your work to someone without a technical background. This will help you connect better with the interviewers and show your stakeholder engagement skills.
✨Prepare Questions That Matter
Have a few insightful questions ready about the company’s trading strategies or how they integrate AI into their analytics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage in a meaningful conversation during the interview.
