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- Tasks: Design and build robust data pipelines using Python and GCP.
- Company: Innovative LegalTech SaaS start-up with a mission-driven approach.
- Benefits: Up to £70,000 salary, equity, and fully remote work.
- Why this job: Turn ideas into scalable products while leveraging cutting-edge technology.
- Qualifications: 3+ years experience in Data/Backend Engineering and strong Python skills.
- Other info: Enjoy autonomy, professional development, and a dynamic work environment.
The predicted salary is between 42000 - 84000 £ per year.
An innovative, mission-driven LegalTech SaaS start-up is looking for an experienced Data Engineer with skills in building Data Pipelines and Python coding.
Data Engineer Details
- Salary: Up to £70,000 (DOE) + Equity
- Location: Fully remote (UK only)
- Stack: Python, GCP, Pub/Sub, SQL & NoSQL, IaC (Terraform), CI/CD (GitHub Actions), Observability tools, AI tooling
Your focus will be on designing and developing robust data pipelines using Python and GCP. The ideal candidate will also have experience building backend services (APIs / MicroServices) and work across the stack, collaborate directly with users, and bring a strong Product mindset to every decision. This role is ideal for someone who thrives on turning early-stage ideas into scalable, market-ready Products backed by solid Data pipelines.
Data Engineer Highlights
- Design & build Data Pipelines from scratch. While ability is more important than years of experience, we expect this engineer to have 3+ years experience as a Data / Backend Engineer.
- Architect event-driven solutions in GCP with Pub/Sub & Cloud Run.
- Build and optimise Python code for high-performance backend systems.
- Implement modern IaC practices for deployment and automation.
- Leverage AI and tooling of your choice to boost workflow efficiency and deliver innovative Product features.
- Autonomy & Ambiguity - discover, design, and build without micromanagement.
- Professional Development - dedicated time to explore new AI tools, Data engineering practices, and emerging tech to keep the Product ahead of the curve.
They want engineers to be set up to stay on top in the new AI world.
Locations
Data Engineer in Hampshire, Portsmouth employer: Wilson Brown
Contact Detail:
Wilson Brown Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Hampshire, Portsmouth
✨Tip Number 1
Network like a pro! Reach out to fellow Data Engineers on LinkedIn or join relevant online communities. Engaging with others in the field can lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and backend services. Having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and GCP knowledge, and be ready to discuss your past projects. Practising common interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for talented Data Engineers like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer in Hampshire, Portsmouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, GCP, and data pipelines. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about Data Engineering and how you can contribute to our mission-driven team. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects or built backend services, make sure to mention them! We’re keen to see your hands-on experience, especially if you’ve used tools like Terraform or GitHub Actions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Wilson Brown
✨Know Your Tech Stack
Make sure you’re well-versed in Python, GCP, and the other technologies mentioned in the job description. Brush up on your knowledge of data pipelines and backend services, as you’ll likely be asked to discuss your experience with these tools during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about examples where you designed or optimised data pipelines, and be ready to explain your thought process and the impact of your solutions.
✨Demonstrate Your Product Mindset
This role requires a strong focus on turning ideas into market-ready products. Be prepared to talk about how you’ve collaborated with users or stakeholders in the past and how you prioritise user needs when developing backend services.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI tooling, professional development opportunities, and how they handle autonomy in projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.