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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 player in the food and beverage industry.
- Benefits: Enjoy bonuses, free drinks, discounts, and wellness support while advancing your career.
- Other info: Collaborative environment with rapid career growth and exciting team events.
- Why this job: Make a real impact by transforming business challenges into innovative data-led solutions.
- Qualifications: 1-3 years in analytics or data roles; strong SQL and Python skills required.
The predicted salary is between 40000 - 50000 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.
About you
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.
Benefits
- 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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues 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 involving AI, data solutions, or automation. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and data solutions. Be ready to discuss how you've tackled real-world problems and the impact of your work. Confidence is key!
✨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 our team at Black Sheep Coffee.
We think you need these skills to ace AI & Data Solutions Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI & Data Solutions Engineer role. Highlight your relevant experience, especially in analytics and automation, and don’t forget to showcase your SQL and Python skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and data solutions, and how your skills can help Black Sheep Coffee tackle their business challenges.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've turned complex problems into practical solutions. This will show us that you can think critically and apply your analytical skills effectively.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
How to prepare for a job interview at Black Sheep Coffee
✨Know Your AI and Data Tools
Familiarise yourself with the latest AI tools and data solutions relevant to the role. Be prepared to discuss how you've used SQL, Python, or Azure Data Factory in past projects, and think of specific examples where you identified opportunities for automation or analytics.
✨Understand Business Impact
Show that you can assess business processes and translate them into data-driven solutions. Prepare to explain how you've measured ROI in previous roles, and be ready to discuss success metrics you would define for potential projects at Black Sheep Coffee.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Since you'll be working with non-technical stakeholders, demonstrate your ability to bridge the gap between technical jargon and business needs during the interview.
✨Be Curious and Proactive
Exhibit your curiosity about emerging trends in AI and data solutions. Prepare questions that show your interest in continuous improvement and how you can contribute to the team's success at Black Sheep Coffee.