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For Companies At a Glance
- Tasks: Build and own data pipelines, design scalable architectures, and influence technical decisions.
- Company: Innovative London-based software company on a mission to make data smarter.
- Benefits: Competitive salary, generous bonus, hybrid work setup, and a caring team culture.
- Why this job: Tackle meaningful data challenges and shape the future of data in tech.
- Qualifications: Experience in Python, SQL, and modern data tools; curiosity and creativity are key.
- Other info: Join a small, high-impact team with opportunities for growth and experimentation.
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 employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. You never know who might give you a heads-up about an opportunity or refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Python, SQL, and modern tools like dbt and Airflow. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled data challenges in the past and how you can contribute to their mission of making data work smarter.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Senior Data Engineer
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 you've worked on and how they relate to the challenges we face at StudySmarter. Let us know why you're excited about this opportunity!
Showcase Your Curiosity: We love candidates who are curious and eager to learn! In your application, mention any new technologies or methodologies you've experimented with. This shows us that you're not just about the basics but are keen to push boundaries in data engineering.
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 it reaches the right people. We can't wait to hear from you!
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 or BigQuery. 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 is your chance to demonstrate your curiosity and creativity, so think about specific instances where you influenced technical decisions or improved data quality.
✨Understand Their Mission
Familiarise yourself with the company's mission to make data work smarter. Think about how your experience aligns with their goals and be ready to share your thoughts on how you can contribute to building scalable data architectures.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current data stack, future projects, or how they encourage experimentation within the team. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.