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- Tasks: Identify and implement AI and data solutions to enhance business efficiency and decision-making.
- Company: Join Black Sheep Coffee, a dynamic and innovative player in the coffee industry.
- Benefits: Enjoy competitive pay, bonuses, free drinks, discounts, and wellness support.
- Other info: Fast-paced environment with rapid career growth and development opportunities.
- Why this job: Make a real impact by transforming business challenges into data-driven solutions.
- Qualifications: 1-3 years in analytics or data roles, strong SQL and Python skills required.
The predicted salary is between 35000 - 45000 ÂŁ per year.
Black Sheep Coffee is seeking a motivated and commercially minded AI & Data Solutions Engineer to help identify, assess, and implement data, AI, and automation initiatives across the business. As part of the Category & Product / Data team, this role will focus on turning business challenges into practical data‑led solutions, with a particular emphasis on AI tools, agentic workflows, automation opportunities, and measurable return on investment.
The ideal candidate will combine strong analytical and technical skills with the ability to work closely with stakeholders, understand business processes, assess impact, and support the successful adoption of new tools and ways of working.
Key Responsibilities- AI, Automation & Business Solutions
- Identify opportunities where AI, automation, and analytics can improve efficiency, decision‑making, customer experience, or cost control.
- Support the assessment, testing, and implementation of AI tools, agentic workflows, and automation projects across the business.
- Work with stakeholders to understand business processes, pain points, and opportunities for improvement.
- Translate business requirements into practical data, AI, or automation solutions.
- Help define success measures for pilots and new initiatives, ensuring projects have clear commercial and operational value.
- Support the rollout and adoption of new tools, ensuring teams understand how to use them effectively.
- Analytics & ROI Measurement
- Analyse business performance before and after implementation to measure impact and ROI.
- Build dashboards, reports, and analysis to support data‑driven decision‑making.
- Translate complex data into clear insights and practical recommendations.
- Support business cases for new AI, automation, and analytics initiatives.
- Monitor the performance and adoption of implemented solutions, recommending improvements where needed.
- Support and maintain data pipelines and analytics engineering processes where required.
- Work with Azure Data Factory and other data tools to ensure data is reliable, well‑structured, and fit for purpose.
- Contribute to data quality, governance, documentation, and security best practices.
- Collaborate with internal teams to ensure data solutions are scalable, accurate, and aligned to business needs.
- Stay up to date with emerging AI, data, and automation tools to support continuous improvement.
Experience: 1–3 years in an analytics, data engineering, analytics engineering, automation, or similar data‑focused role.
Technical Skills
- Strong SQL skills and experience working with relational databases.
- Experience with Python for data analysis, automation, or workflow development.
- Experience working with APIs, including integrating data between systems or tools.
- Experience with Azure Data Factory or similar data orchestration tools.
- Experience building reports, dashboards, or analytical outputs.
- Understanding of data modelling, ETL workflows, and data quality principles.
- Interest in, or experience with, AI tools, LLMs, automation, or agentic workflows.
Commercial & Analytical Skills
- Ability to assess business impact, define success metrics, and measure ROI.
- Strong problem‑solving skills with excellent attention to detail.
- Ability to turn business requirements into practical data or technology solutions.
- Comfortable using data to challenge assumptions and support decision‑making.
Soft Skills
- Strong communication and collaboration skills.
- Comfortable working across teams and functions.
- Able to explain technical concepts clearly to non‑technical stakeholders.
- Curious, proactive, and comfortable working with ambiguity.
Preferred Qualifications
- Experience with Power BI or other data visualisation tools.
- Knowledge of responsible AI, data governance, privacy, and security best practices.
- Experience supporting pilots, proof‑of‑concepts, or technology implementation projects.
- Experience in retail, hospitality, food and beverage, or another fast‑paced operational business.
- Annual Discretionary Bonus – Up to 15% of previous years earning.
- Monthly phone bills reimbursed – up to £50 per month.
- Free coffees and drinks at any of our locations, plus discounted food.
- Access to Stream, offering a variety of high‑street discounts.
- Up to 5% interest on savings through Stream Build Pot.
- Employee Assistance Programme (EAP) – Access to confidential counselling and advice.
- Wellness App through our EAP.
- Quarterly take‑home coffee orders – pods, beans or ground coffee.
- Pension plan through NEST pensions – 3% employer contribution.
- Free daily breakfast, snacks and commercial coffee machine in the office.
- Monthly pub drinks, biannual staff socials and a fully stocked drinks fridge.
- Rapid career progression and development opportunities.
AI & Data Solutions Engineer in London employer: Black Sheep Coffee
Contact Detail:
Black Sheep Coffee Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Data Solutions Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and data solutions. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and data solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace AI & Data Solutions Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI & Data Solutions Engineer role. Highlight your relevant experience with AI tools, automation, and data analytics, so we can see how you fit right into our team!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work where you've successfully implemented data solutions or improved processes. This helps us understand your practical experience.
Be Clear and Concise: When writing your application, keep it straightforward. We love clarity! Avoid jargon unless necessary, and make sure your key points stand out. This makes it easier for us to see your potential.
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 Black Sheep Coffee
✨Know Your AI & Data Tools
Make sure you brush up on your knowledge of AI tools, data analytics, and automation technologies. Be ready to discuss how you've used SQL, Python, or Azure Data Factory in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Understand the Business Impact
Before the interview, think about how data solutions can drive business value. Prepare examples of how you've assessed ROI or improved efficiency in previous roles. This will demonstrate your ability to translate technical skills into real-world business benefits.
✨Communicate Clearly with Stakeholders
Practice explaining complex technical concepts in simple terms. You’ll likely need to work with non-technical stakeholders, so being able to communicate effectively is key. Consider role-playing with a friend to refine your explanations.
✨Show Your Curiosity and Proactivity
Employers love candidates who are curious and proactive. Be prepared to discuss recent trends in AI and data solutions, and how you stay updated. Share any personal projects or learning experiences that showcase your enthusiasm for the field.