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For Companies At a Glance
- Tasks: Design and build scalable data pipelines and backend systems for analytics.
- Company: Join a forward-thinking tech company focused on real-world data solutions.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Tackle complex data challenges and make a tangible impact on decision-making.
- Qualifications: 5+ years in backend or data engineering with strong programming skills.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Senior Backend Data Engineer to design and build the data infrastructure that powers our platform. You will work on integrating diverse data sources, building scalable pipelines, and creating the foundation for analytics and decision‑making systems. This role is ideal for someone who enjoys working on complex, real‑world data problems and building systems that translate raw data into meaningful outputs.
Key Responsibilities
- Design and implement scalable data pipelines for ingesting data from APIs, platforms, and external sources
- Build and maintain backend systems that support data processing and analytics
- Develop and optimise data models and storage architectures
- Ensure data quality, reliability, and consistency
- Work closely with product and data teams to support evolving requirements
- Contribute to overall system architecture and infrastructure decisions
Requirements
- 5+ years experience in backend or data engineering
- Strong programming skills (Python preferred)
- Experience with APIs and data ingestion pipelines
- Advanced SQL and data modeling skills
- Experience with cloud platforms (AWS, GCP, or Azure)
- Familiarity with pipeline orchestration tools such as Airflow or Prefect
Nice to have:
- Experience working with financial, operational, or transactional data
- Exposure to real‑time or event‑driven systems
- Experience with data warehouses such as BigQuery, Snowflake, or Redshift
What We’re Looking For
- Strong systems thinker with attention to detail
- Comfortable working with ambiguity and evolving products
- Interest in building infrastructure that supports real‑world decision‑making
Senior Back End Data Engineer in London employer: Gifftid
Contact Detail:
Gifftid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Back End Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and code. We want to see how you tackle real-world data problems, so let your work speak for itself.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with APIs, data pipelines, and cloud platforms. We’re looking for someone who can dive deep into the nitty-gritty of backend systems.
✨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. We’re excited to find someone who’s as passionate about data engineering as we are!
We think you need these skills to ace Senior Back End Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in backend and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your programming prowess and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about building data infrastructure and how your experience can help us tackle complex data problems. Keep it engaging and personal!
Showcase Your Technical Skills: We’re looking for strong programming skills, especially in Python. Make sure to mention your experience with APIs, data pipelines, and any cloud platforms you’ve worked with. This is your moment to impress us with your technical know-how!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Gifftid
✨Know Your Data Stuff
Make sure you brush up on your data engineering skills, especially around building scalable data pipelines and working with APIs. Be ready to discuss specific projects where you've tackled complex data problems, as this will show your hands-on experience.
✨Showcase Your Programming Skills
Since strong programming skills are a must, particularly in Python, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to keep your skills sharp.
✨Familiarise Yourself with Tools
Get comfortable with pipeline orchestration tools like Airflow or Prefect, as well as cloud platforms such as AWS, GCP, or Azure. Being able to discuss how you've used these tools in past roles will give you an edge in the interview.
✨Think Like a Systems Architect
As a Senior Backend Data Engineer, you'll need to contribute to system architecture decisions. Prepare to talk about your approach to designing data models and storage architectures, and how you ensure data quality and reliability in your work.