At a Glance
- Tasks: Design and build data pipelines that power innovative products.
- Company: Dynamic London-based software company on a mission to optimise data.
- Benefits: Competitive salary, generous bonus, hybrid work, and a supportive team culture.
- Other info: Join a small, high-impact team with opportunities for growth and creativity.
- Why this job: Tackle meaningful data challenges and influence the future of data systems.
- Qualifications: Experience in Python, SQL, and modern data tools like dbt and Airflow.
The predicted salary is between 65000 - 85000 £ per year.
A London-based software company on a mission to make data work smarter. Their products power thousands of businesses, and as they grow, they’re building a data stack that scales with their ambition. They’re looking for a Data Engineer who’s excited about designing modern data systems, experimenting with new tech, and helping shape how data flows through everything they build.
What You’ll Do
- Build and own data pipelines that connect product, analytics, and operations
- Design scalable architectures using tools like dbt, Airflow, and Snowflake / BigQuery
- Work with engineers and product teams to make data easily accessible and actionable
- Help evolve their data warehouse and ensure high data quality and reliability
- Experiment with automation, streaming data, and ML-ready datasets
- Influence technical decisions across the stack — they love new ideas
What You Bring
- Hands-on experience in Python and SQL
- Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.)
- Knowledge of cloud platforms like AWS, GCP, or Azure
- An understanding of data modelling and ETL best practices
- Curiosity, creativity, and a mindset that thrives in fast-moving environments
Why You’ll Love It
- Work on meaningful data challenges that directly impact their products
- Small, high-impact team with room to experiment and grow
- Hybrid setup with a central London HQ
- Competitive pay, generous (and achievable bonus), and genuine flexibility
- A team that actually cares about building great tech
If you love solving tough data problems and want to help shape the data culture of a growing software company, they’d love to meet you.
Senior Data Engineer in Warrington employer: Digital Waffle
Join a dynamic London-based software company that prioritises innovation and employee growth, offering a collaborative work culture where your ideas can flourish. With competitive salaries, generous bonuses, and a hybrid working model, you'll tackle meaningful data challenges while being part of a small, high-impact team dedicated to building exceptional technology. This is an excellent opportunity for those looking to make a significant impact in the data engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Warrington
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral.
✨Tip Number 2
Show off your skills in real-time! Consider working on a project that showcases your data engineering prowess. Share it on GitHub or during interviews to impress the hiring team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice common data engineering problems and be ready to discuss your thought process.
✨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!
We think you need these skills to ace Senior Data Engineer in Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your hands-on experience with Python, SQL, and any modern data tools you've used. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for data engineering. Share specific examples of projects where you've designed scalable architectures or built data pipelines. Let us know why you're excited about joining our team!
Showcase Your Curiosity:We love candidates who are curious and creative! In your application, mention any new technologies or methodologies you've experimented with. This will help us see how you thrive in fast-moving environments and how you can influence our technical decisions.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Digital Waffle
✨Know Your Data Tools
Make sure you brush up on your knowledge of modern data tools like dbt, Airflow, and Snowflake. Be ready to discuss how you've used these in past projects and how they can be applied to the role you're interviewing for.
✨Showcase Your Problem-Solving Skills
Prepare examples of tough data challenges you've faced and how you tackled them. This will demonstrate your hands-on experience and your ability to think critically, which is crucial for a Senior Data Engineer.
✨Understand Their Data Culture
Research the company’s mission and values, especially their approach to data. Be prepared to share your thoughts on how you can contribute to their data culture and what innovative ideas you might bring to the table.
✨Ask Insightful Questions
Prepare thoughtful questions about their data stack and future projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
