At a Glance
- Tasks: Design and deploy cutting-edge AI solutions for a global energy trading organisation.
- Company: Join a leading global energy firm driving AI transformation in trading.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement potential.
- Why this job: Be at the forefront of AI innovation and make a real impact in trading.
- Qualifications: Experience in AI, data engineering, and strong skills in Python and SQL.
The predicted salary is between 81000 - 99000 £ per year.
Contract: 6-month initial contract (multi-year programme). X4 Technology are partnered with a global energy organisation undergoing a major AI and data transformation across its Trading business. As part of a large-scale programme, they're investing heavily in Generative AI, Agentic AI and modern data engineering capabilities to deliver intelligent solutions that enhance commercial decision-making, automate complex workflows and unlock value across trading operations.
They are looking for an experienced Principal AI Data Engineer to design, build and deploy enterprise-scale GenAI solutions, taking products from rapid prototyping through to production while helping shape the future AI roadmap within a highly collaborative engineering environment.
Responsibilities:
- Build and deploy GenAI, RAG and Agentic AI solutions from prototype to production.
- Develop AI applications (Azure OpenAI, AI Foundry, Databricks Mosaic AI, MLflow, Genie, AgentBricks).
- Design, evaluate and optimise RAG pipelines (prompt engineering, embeddings, LLM evaluation).
- Build AI agents (LangChain, LangGraph, AutoGen and related frameworks).
- Engineer scalable AI and data solutions (Databricks Delta Lake, DLT and Unity Catalog).
- Collaborate with commercial, product and engineering teams.
- Lead experimentation, benchmarking and evaluation of LLMs.
- Contribute to architecture, technical direction and backlog planning.
Requirements:
- Deep experience delivering AI, Data Science or Data Engineering.
- Strong commercial experience building GenAI, RAG and Agentic AI applications.
- Strong understanding of modern LLMs.
- Experience with LangChain, LangGraph, AutoGen or similar AI agent frameworks.
- Strong Python, SQL and data engineering skills with Azure cloud experience.
- Experience within Energy Trading, Commodities or Financial Services is highly advantageous.
This is an excellent opportunity to join a high-profile AI transformation programme delivering next-generation GenAI capabilities across a global trading organisation.
Contract AI Data Engineer (Trading) employer: X4 Technology
X4 Technology is an excellent employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong focus on employee growth, we provide opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like encryption and cloud security. Our inclusive culture and commitment to work-life balance make this an ideal place for talented individuals looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Contract AI Data Engineer (Trading)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like X4 Technology before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like X4 Technology.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like X4 Technology.
We think you need these skills to ace Contract AI Data Engineer (Trading)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at X4 Technology, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to X4 Technology, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab X4 Technology’s attention and show the tangible impact of your work.
How to prepare for a job interview at X4 Technology
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at X4 Technology.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at X4 Technology.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at X4 Technology.
