At a Glance
- Tasks: Build and maintain data pipelines that power our operations team.
- Company: Join Zinc, an AI-native SaaS company with a fresh perspective on data ownership.
- Benefits: Enjoy 24 days holiday, early finish Fridays, and a £1200 annual benefits allowance.
- Other info: Work remotely for 30 days and enjoy company retreats abroad!
- Why this job: Make a real impact from day one in a fast-paced, innovative environment.
- Qualifications: Strong SQL skills and experience with ETL tools like Airbyte required.
The predicted salary is between 60000 - 65000 £ 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 employer: Zinc
Zinc is an exceptional employer for Data Engineers, offering a dynamic work environment in London where innovation thrives. With a strong focus on employee growth, you will have the opportunity to make a significant impact from day one while enjoying benefits like 24 days of holiday, early finish Fridays, and a generous annual benefits allowance. Our supportive culture fosters collaboration and personal development, making Zinc a rewarding place to advance your career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Zinc or similar companies on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving SQL, PostgreSQL, and ETL/ELT tools. This will help us see your practical experience in action.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss how you've built and maintained data pipelines, and think of examples where you've solved problems end-to-end.
✨Tip Number 4
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 take that extra step to connect with us directly.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your SQL and PostgreSQL skills, and any experience with ETL/ELT tools like Airbyte. We want to see how your background fits with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Show Off Your Projects:If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build and maintain data pipelines. We’re keen to see what you can bring to the table!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
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 likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've owned a problem from start to finish. Think about challenges you've faced in previous roles and how you tackled them, especially in data engineering contexts. This will demonstrate your self-directed nature and ability to communicate effectively.
✨Understand the Business Impact
Be ready to explain how your work as a Data Engineer can directly impact the business. Familiarise yourself with how data pipelines support operations and decision-making. This shows that you’re not just technically skilled but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the current data infrastructure, and future projects. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values and work style.
