At a Glance
- Tasks: Build an AI-powered BI assistant from scratch and manage the project solo.
- Company: Join a forward-thinking company with a focus on innovation and collaboration.
- Benefits: Flexible hybrid working model, competitive pay, and opportunities for professional growth.
- Other info: Collaborate with an international team and enjoy socialising at team meetings.
- Why this job: Make a real impact by developing cutting-edge AI solutions in a dynamic environment.
- Qualifications: Strong SQL and Python skills, plus experience with LLM systems.
The predicted salary is between 63000 - 77000 £ per year.
- Build a new AI-powered BI assistant from the ground up
- Own the standalone project solo, from architecture decisions through to a working, deployed agent
- Connect the assistant, likely Claude-based and using MCP, to Big Query/dbt, Metabase, and Git Hub
- Enable the assistant to answer routine BI questions end to end and flag complex questions for human review
- Score the assistant against real historical business questions for accuracy, run cost, and maintainability
- Use evaluation results to guide development
- Deploy the assistant to an internal pilot group
- Work with the international data and development team within a hybrid working model
- Attend fortnightly team meetings at offices near Old Street for whiteboarding, planning, and socialising
Requirements
- Strong SQL and dbt experience
- Hands-on experience building LLM/agent systems (Claude, MCP, or similar)
- Comfortable working in Python for tooling and integration work
- Ability to own a project solo, end to end
- Experience contributing across architecture, evaluation, and deployment
- Familiarity with Metabase or similar BI tools (preferred)
- Experience with YAML-based BI/modelling tools (e. g. Bruin) (preferred)
- Experience writing plugins, skills, or agents for LLMs such as Claude (preferred)
- Experience building evaluation sets for LLM systems and assessing accuracy versus run cost (preferred)
- Personal projects such as a blog, open source contributions, or side builds (preferred)
- Core Competencies
Demonstrates expertise in building AI-powered business intelligence assistants, with strong capabilities in SQL, Python, and LLM systems.
Proven ability to manage projects independently from architecture to deployment while collaborating with international teams.
- Highest-signal resume keywords
- Strong SQL Experience
- LLM/Agent Systems Development
- Python Integration Skills
- Architecture and Deployment Experience
- Metabase Familiarity
- ATS Optimization Keywords
- Hard Skills
- SQL
- Dbt
- Python
- LLM Systems
- Agent Development
- Architecture Design
- Evaluation Metrics
- YAML-based Tools
- Plugin Development
- Business Intelligence
- Soft Skills
- Project Ownership
- Collaboration
- Communication
- Industry Keywords
- Business Intelligence
- AI Assistant
- Hybrid Working Model
- Data Evaluation
- Historical Business Questions
- Tools & Technologies
- Claude
- MCP
- Big Query
- Metabase
- Git Hub
- Bruin
- #J-18808-Ljbffr
Data Engineer – 3-6 Month Contract employer: Jobtailor
At Jobtailor, we pride ourselves on fostering a dynamic and supportive work environment where our employees can thrive. As a Field Service Scheduler & Customer Liaison, you will benefit from comprehensive training and development opportunities, ensuring your professional growth while enjoying a collaborative culture that values innovation and teamwork. Located in a vibrant area, our company offers unique advantages such as flexible working arrangements and a strong commitment to employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – 3-6 Month Contract
✨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 Jobtailor 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 Jobtailor.
✨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 Jobtailor.
We think you need these skills to ace Data Engineer – 3-6 Month Contract
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Jobtailor, 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 Jobtailor, 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 Jobtailor’s attention and show the tangible impact of your work.
How to prepare for a job interview at Jobtailor
✨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 Jobtailor.
✨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 Jobtailor.
✨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 Jobtailor.
