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For Companies At a Glance
- Tasks: Design and build robust data models while scaling our data infrastructure.
- Company: Join a leading fintech company in the heart of London.
- Benefits: Enjoy a competitive salary, bonus, and great benefits.
- Why this job: Make a real impact on our evolving data platform with cutting-edge technologies.
- Qualifications: 5+ years in data roles, strong SQL and Python skills required.
- Other info: Fast-paced environment with opportunities for growth and innovation.
The predicted salary is between 48000 - 72000 £ per year.
Location: London
Employment Type: Full-time
Salary: £80k per annum + 10% bonus & benefits
Sector: Fintech / Payments
Overview
We are looking for a skilled Senior Data Engineer with a strong foundation in data analytics to join our growing team. The ideal candidate will have previously worked as a Data Analyst and since transitioned into a more engineering-focused role. You will help us scale our data infrastructure, design and build robust data models, and contribute directly to our data platform's evolution. This is a hands-on role where you will be expected to hit the ground running, contribute to ongoing projects with minimal hand-holding, and help us maintain (and improve) the current team's velocity.
Key Responsibilities
- Design, develop, and maintain data models to support analytical and operational use cases.
- Write efficient, production-grade SQL to build data pipelines and transformations.
- Develop and maintain data workflows and automation scripts in Python.
- Collaborate with analysts, engineers, and stakeholders to deliver high-quality data solutions.
- (Optional but highly valued) Contribute to our infrastructure as code efforts using tools like Terraform.
- Work with modern data warehousing technologies such as Snowflake to ensure scalable and high-performing solutions.
Skills & Experience
- 5+ years of experience in data roles, ideally transitioning from Data Analyst to Data Engineer.
- Proven expertise in SQL and building complex data models.
- Strong proficiency in Python for data processing, ETL, and workflow automation.
- Experience with cloud data platforms (Snowflake experience highly desirable).
- Exposure to or experience with Terraform or similar infrastructure-as-code tools is a strong plus.
- Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding.
Nice to Have
- Experience with modern data stack tools (e.g., dbt, Airflow, etc.).
- Understanding of CI/CD pipelines and data infrastructure automation.
- Familiarity with data governance, security, and best practices in a cloud environment.
Senior Data Engineer in London employer: 83zero Ltd
Contact Detail:
83zero Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, SQL queries, and any Python scripts you've developed. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with data pipelines, cloud platforms like Snowflake, and any infrastructure-as-code tools you've used. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your transition from Data Analyst to Data Engineer, and showcase your expertise in SQL and Python. We want to see how you can contribute to our data platform!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your past projects and how they relate to the responsibilities listed. This is your chance to show us your passion for data engineering and fintech!
Showcase Relevant Projects: If you've worked on any relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing hands-on experience, especially with tools like Snowflake or Terraform. It helps us understand your practical skills better!
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 on joining our team at StudySmarter!
How to prepare for a job interview at 83zero Ltd
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills and be ready to discuss your previous experience as a Data Analyst. Be prepared to explain how that experience has shaped your transition into a Data Engineer role, especially focusing on SQL and Python.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some real-world problems. Think about how you've designed and built data models in the past. Be ready to share specific examples of challenges you've faced and how you overcame them, particularly in fast-paced environments.
✨Familiarise Yourself with the Tech Stack
Since the role involves working with tools like Snowflake and Terraform, do your homework! Understand their functionalities and be ready to discuss how you've used similar technologies in your previous roles. This will show your enthusiasm and readiness to hit the ground running.
✨Collaborate and Communicate
This role requires collaboration with various teams, so be prepared to demonstrate your teamwork skills. Share examples of how you've worked with analysts and engineers to deliver high-quality data solutions. Highlight your ability to communicate complex ideas clearly and effectively.