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- Tasks: Build and maintain scalable data pipelines using Python and SQL in a modern cloud environment.
- Company: Join Future, a leading digital media and ecommerce business with a collaborative culture.
- Benefits: Enjoy unlimited annual leave, a bonus scheme, and hybrid working options.
- Other info: Opportunity for ownership and influence in a dynamic tech environment.
- Why this job: Make a real impact on engineering standards and platform direction in a large-scale data environment.
- Qualifications: Strong Python and SQL skills, with experience in cloud-based data engineering.
The predicted salary is between 50000 - 60000 £ per year.
We’re partnered with Future, a leading digital media and ecommerce business behind a portfolio of well known consumer and B2B brands, including Go.Compare, as they continue investing heavily into their modern data platform. They are looking for a hands on Senior Data Engineer to help drive the next phase of their cloud data journey, supporting the migration of legacy workloads into a modern GCP environment while building scalable, reliable data pipelines across the business. This is a strong opportunity for someone who enjoys ownership, solving engineering problems and working in an environment where you can genuinely influence how things are built.
What you’ll be doing:
- Building and maintaining scalable data pipelines using Python and SQL
- Supporting the migration of legacy SQL workloads into GCP
- Working across cloud native tooling and modern orchestration environments
- Improving existing pipelines, automation and platform reliability
- Collaborating directly with stakeholders, analysts and engineers across the business
- Taking ownership of delivery from concept through to production
Tech environment:
- Python
- GCP
- BigQuery
- Cloud Functions / Cloud Run / Dataflow
- Airflow / Composer
- SQL
- dbt / Dataform
- CI/CD
What they’re looking for:
- Strong hands on Python experience within data engineering environments
- Experience building cloud based data pipelines
- Strong SQL skills
- Exposure to orchestration tooling such as Airflow or Composer
- Someone comfortable working autonomously and owning delivery
- Strong communication and stakeholder skills
- Experience with AWS is also welcomed if you have worked in similar modern cloud environments.
Why join?
- Large scale data environment with ongoing investment
- Opportunity to influence engineering standards and platform direction
- Modern cloud stack
- Strong collaborative culture
- Unlimited annual leave
- Bonus scheme
- Hybrid working
Please apply for immediate consideration or reach out directly for a confidential discussion.
Senior Data Engineer in Bristol employer: Sanderson
Contact Detail:
Sanderson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Future or similar companies. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python and GCP. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've built scalable data pipelines and tackled engineering challenges in the past. We want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at Future.
We think you need these skills to ace Senior Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your hands-on Python experience and any cloud-based data pipeline projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've built scalable data pipelines or migrated workloads to GCP. This will help us understand your problem-solving abilities and how you take ownership of your work.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and make sure to communicate your experience with SQL and orchestration tools like Airflow. We appreciate straightforwardness!
Apply Through Our Website: Don’t forget to apply through our website for immediate consideration! It’s the best way for us to receive your application and get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at Sanderson
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and GCP. Brush up on your knowledge of BigQuery, Cloud Functions, and orchestration tools like Airflow. Being able to discuss your hands-on experience with these tools will show that you're ready to hit the ground running.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled engineering challenges in the past. Whether it’s improving data pipelines or migrating workloads, having specific scenarios ready will demonstrate your ability to take ownership and solve problems effectively.
✨Communicate Clearly
Since collaboration is key in this role, practice articulating your thoughts clearly. Be ready to explain complex technical concepts in a way that non-technical stakeholders can understand. This will highlight your strong communication skills and ability to work with diverse teams.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and the team’s current projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding ownership and influence in engineering standards.