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For Companies At a Glance
- Tasks: Build and own data pipelines, design scalable architectures, and influence technical decisions.
- Company: Dynamic London-based software company on a mission to make data smarter.
- Benefits: Competitive pay, achievable bonuses, hybrid work, and genuine flexibility.
- Why this job: Tackle meaningful data challenges and shape the future of data culture.
- Qualifications: Experience in Python, SQL, and modern data tools; cloud platform knowledge is a plus.
- Other info: Join a small, high-impact team that values creativity and experimentation.
The predicted salary is between 43200 - 72000 £ 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
- 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
- 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 City of London employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in City of London
✨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 personal project or contributing to open-source. This way, you can demonstrate your expertise with tools like dbt and Airflow when you get the chance to chat with hiring managers.
✨Tip Number 3
Prepare for those technical interviews! Brush up on Python and SQL, and be ready to discuss your experience with cloud platforms. We want to see how you think and solve problems, so practice explaining 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. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in City of London
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 why you're excited about the role and how your background aligns with our goals. Let us know what makes you tick in the world of data!
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them! We love seeing real examples of your work, especially if they involve building data pipelines or using tools like dbt and Airflow.
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’re considered for the role. Plus, it shows us you’re keen to join our team at StudySmarter!
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 to share specific examples of how you've tackled complex data challenges. Think about times when you designed scalable architectures or improved data quality, and be ready to explain your thought process and the impact of your solutions.
✨Demonstrate Your Curiosity
This company values creativity and curiosity, so come prepared with questions about their current data stack and any new technologies they’re exploring. Showing genuine interest in their work will set you apart from other candidates.
✨Emphasise Team Collaboration
Since you'll be working closely with engineers and product teams, highlight your experience in collaborative environments. Share examples of how you've successfully influenced technical decisions and contributed to team projects in the past.
