At a Glance
- Tasks: Build and maintain data pipelines that power our operations team.
- Company: Join a fast-moving, AI-native SaaS company with a focus on data ownership.
- Benefits: Enjoy 24 days holiday, early finish Fridays, and a £1200 annual benefits allowance.
- Other info: Work from anywhere for 30 days and enjoy company retreats abroad.
- Why this job: Make a real impact from day one in a small, dynamic team.
- Qualifications: Strong SQL skills and experience with ETL tools like Airbyte required.
The predicted salary is between 50000 - 60000 € per year.
We're looking for a Data Engineer to join our Technology team. Our data warehouse infrastructure is growing fast, and we need someone to own the pipelines that power our ops team. This is a pure engineering role. You'll be building and maintaining the systems that move, transform, and serve data across the business. If you want to work on analytics or BI, this isn't the role for you. If you want to build robust pipelines and warehouse infrastructure at a fast-moving, AI-native SaaS company, read on. You'll thrive here if you're self-directed, enjoy owning a problem end-to-end, and can communicate clearly with non-technical stakeholders. We're a small team and you'll have real impact from day one.
Key Responsibilities
- Build and maintain ETL/ELT pipelines using Airbyte
- Manage and optimise our PostgreSQL data warehouse
- Write and optimise SQL for internal ops team consumption
- Work with AWS Lambda and S3 for pipeline orchestration
- Translate business requirements into data pipeline solutions
- Support infrastructure reliability across the tech stack
Skills, Knowledge and Expertise
Essential:
- Strong SQL and PostgreSQL skills
- Experience with Airbyte or a similar ETL/ELT tool (e.g. Fivetran, Stitch)
- AWS experience — Lambda and S3 at minimum
- Git / version control
- 2–3 years in a data engineering role, ideally at a SaaS or tech company
Desirable:
- MongoDB experience (our upstream source data)
- dbt for data transformation
- Python scripting
- Experience at a scaling start-up
What we offer
- 24 days holiday + Bank Holidays + your birthday off
- £1200 annual benefits allowance (ThanksBen, from month 2)
- Early finish Fridays (16:00)
- Yearly company retreat abroad (This year to Turin)
- 30 days to Work from anywhere
- Enhanced Maternity, Paternity, and Adoption Leave (2 months full pay, then statutory)
- Statutory pension with NEST (3% employer, 5% employee)
- Zinc shares, issued through the EMI Scheme
- Unlimited access to MoreHappi coaching
- Company socials, quarterly team socials
- Free Monday lunches
- Nursery workplace benefit scheme (Yellownest)
- Option to lease an electric car through Electric Car Scheme
- Celebrated Zinc anniversaries
Data Engineer in London employer: Zinc
Zinc is an exceptional employer for Data Engineers, offering a dynamic work environment within a fast-moving, AI-native SaaS company. With a strong focus on employee growth, you will have the opportunity to make a significant impact from day one while enjoying generous benefits such as 24 days holiday, early finish Fridays, and a yearly retreat abroad. Our culture promotes collaboration and innovation, ensuring that you thrive in your role while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects that highlight your SQL and data pipeline work, share it during interviews. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and AWS knowledge. Practice common data engineering problems and be ready to explain your thought process clearly. Remember, communication is key!
✨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 proactive about joining our team.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, PostgreSQL, and any ETL tools like Airbyte. We want to see how your skills match the role, 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 excited about building data pipelines and how you can contribute to our fast-moving team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills:In your application, share examples of how you've owned problems end-to-end in previous roles. We love candidates who can communicate clearly and tackle challenges head-on!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Zinc
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially SQL, PostgreSQL, and Airbyte. Brush up on your AWS knowledge too, particularly Lambda and S3, as these will be crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've owned a problem from start to finish. Highlight how you built or optimised data pipelines and how you translated business requirements into technical solutions.
✨Communicate Clearly
Since you'll be working with non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between tech and business needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data infrastructure and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
