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- Tasks: Design and build data pipelines, model data for analytics, and propose AI solutions.
- Company: Join a dynamic Snowflake-focused Data Consultancy with a passion for collaboration.
- Benefits: Competitive pay, mentoring opportunities, and a focus on professional growth.
- Other info: Exciting opportunity for those eager to learn and upskill in a supportive team.
- Why this job: Make a real impact using AI and modern data solutions in an agile environment.
- Qualifications: 1-5 years in data roles, strong SQL skills, and a growth mindset.
The predicted salary is between 28800 - 48000 £ per year.
This range is provided by Primus. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Primus are working with a Snowflake focused Data Consultancy delivering end to end projects from ingestion and transformation to analytics and light ML/automation. We are looking for people who are curious, and focus on delivery ownership first; Snowflake skills can be learned.
You will work directly with customers, use AI to accelerate build, review, and ship real business value through modern data solutions.
What You’ll Do
- Design and build data pipelines using Snowflake native features and partner tools (e.g. Fivetran, dbt, SQL).
- Model data for analytics and build dashboards in Power BI, ThoughtSpot, or Sigma.
- Propose pragmatic data/AI solutions to real problems (e.g. forecasting, ticket triage automation, agentic/ops workflows).
- Use AI coding assistants to draft code/tests, and participate in peer reviews to evolve our AI-assisted engineering practices.
- Work in small, agile squads, communicate clearly with stakeholders and build trusted relationships.
What You’ll Bring
- 1–5 years’ experience in data or adjacent engineering roles (SQL developer, BI developer, data/AI engineer, etc.)
- Strong SQL fundamentals and comfort with cloud data tooling.
- High emotional intelligence: you listen, simplify complexity, and build trust.
- A bias to ship: structured thinking, pragmatic decisions, and ownership of outcomes.
- A growth mindset and eagerness to master Snowflake.
Nice to Have
- Exposure to Snowflake, dbt, or BI tools (Power BI, ThoughtSpot, Sigma)
- Experience using Python for data work.
- Certifications (e.g. SnowPro) or self-driven learning evidence.
- Experience building chatbots, RAG/agentic flows, or automation.
- Consulting or client-facing experience.
This company is passionate about upskilling, mentoring and working together collaboratively and is an exciting opportunity for somebody who is ready to go on that journey.
Seniority level: Associate
Employment type: Full-time
Job function: Information Technology, IT Services and IT Consulting
Consultant - Data Engineer (Full Stack Data & AI) in London employer: Primus
Contact Detail:
Primus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Consultant - Data Engineer (Full Stack Data & AI) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more connections you make, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, dashboards, or any relevant work. This gives you a chance to demonstrate your expertise and passion for data engineering directly to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. Think about how you can apply your knowledge of Snowflake and AI solutions to real-world problems, just like you would in the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team at StudySmarter.
We think you need these skills to ace Consultant - Data Engineer (Full Stack Data & AI) in London
Some tips for your application 🫡
Show Your Curiosity: We love candidates who are curious and eager to learn! Make sure to highlight any experiences where you've taken the initiative to explore new technologies or solve problems creatively. This will show us that you have the right mindset for the role.
Tailor Your Application: When applying, take a moment to tailor your CV and cover letter to the job description. Mention specific skills like SQL or any experience with Snowflake, even if it's just a project. We want to see how your background aligns with what we’re looking for!
Be Clear and Concise: In your written application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant. We appreciate candidates who can communicate complex ideas simply, as this reflects the kind of collaboration we value at StudySmarter.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Primus
✨Know Your Tech Stack
Make sure you’re familiar with the tools mentioned in the job description, especially Snowflake, SQL, and any BI tools like Power BI or ThoughtSpot. Brush up on your SQL fundamentals and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've proposed data or AI solutions to real-world problems. Think about specific challenges you've faced and how you approached them, especially in a consulting context. This will demonstrate your ability to deliver value to clients.
✨Emphasise Your Communication Skills
Since this role involves working directly with customers, practice articulating complex ideas simply. Be ready to discuss how you've built trusted relationships with stakeholders in previous roles, as high emotional intelligence is key for success.
✨Adopt a Growth Mindset
Express your eagerness to learn and master new skills, particularly around Snowflake and AI tools. Share any self-driven learning experiences or certifications you’ve pursued, as this shows your commitment to personal and professional development.