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- Tasks: Build and optimise our data infrastructure for impactful reporting and client growth.
- Company: Fast-scaling creative agency focused on innovative marketing solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of data-driven marketing.
- Qualifications: Experience in data engineering and a passion for problem-solving.
- Other info: Fast-paced environment with a focus on creativity and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Ballpoint is a fast-scaling, strategy-led creative and marketing science agency built for consumer brands who want to grow fast and grow properly. We combine creative, data, and experimentation to help cool brands kill their competition. As a team, we’re made up of people at the top of their game, all with exceptional experience and a strong track record.
People who thrive at Ballpoint are self-motivated and take genuine ownership of their work. They’re commercially minded and confident making decisions, with a knack for solving problems quickly without losing clarity. Whatever their discipline, they care deeply about their craft and are naturally curious. We want people who are always learning, always sharing, and always raising the bar. They’re comfortable challenging others and being challenged themselves, and they know how to inspire confidence with clients and teammates alike.
You will be the architect of our internal data engine. You aren't just running reports; you are building the infrastructure that makes reporting possible. You will move us away from fragile spreadsheets and manual exports to a robust, code-first Modern Data Stack. You’ll build the infrastructure behind our clients’ growth programmes, covering attribution, forecasting, and experimentation, while ensuring our data pipelines are automated, tested, and scalable.
We currently have a strong fractional setup in place, but we’re building towards a full-time in-house function. You’ll inherit solid foundations and a smooth handover, then take ownership of the full stack as we scale.
Our Data Stack: We believe in using the best tools for the job. You will be taking ownership of a stack built on:
- Ingestion: Weld
- Warehousing
The Win: You have shipped one high-impact fix or automation that saves the Strategy team 5+ hours of manual work.
60 Days: Migration
Data Engineer & Analyst employer: Ballpoint
Contact Detail:
Ballpoint Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer & Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data projects. We want to see what you can do, so make it easy for us to find your best work and understand your thought process.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering and analysis. We love candidates who can think on their feet, so be ready to solve problems and demonstrate your expertise during the chat.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who are eager to join our fast-growing team at Ballpoint.
We think you need these skills to ace Data Engineer & Analyst
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for data engineering and analysis shine through. We want to see that you’re genuinely excited about the role and how you can contribute to our team at Ballpoint.
Tailor Your CV: Make sure your CV is tailored to the job description. Highlight relevant experience and skills that align with what we’re looking for. This shows us that you’ve done your homework and understand what it takes to thrive in our fast-paced environment.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and fluff. Make it easy for us to see why you’re a great fit for the Data Engineer & Analyst role.
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 shows us you’re proactive and keen to join our team!
How to prepare for a job interview at Ballpoint
✨Know Your Data Stack
Familiarise yourself with the tools and technologies mentioned in the job description, like data ingestion and warehousing. Be ready to discuss how you've used similar tools in past projects and how you can apply that experience to build a robust data infrastructure.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Highlight your ability to think critically and make decisions quickly, as this aligns with what Ballpoint values in their team members.
✨Demonstrate Ownership and Initiative
Ballpoint is looking for self-motivated individuals who take ownership of their work. Share instances where you've led projects or initiatives, especially those that resulted in significant improvements or efficiencies.
✨Be Curious and Engaging
Express your passion for learning and sharing knowledge. Prepare questions about Ballpoint's current data practices and future goals, showing that you're not just interested in the role but also in contributing to the team's growth and success.
