At a Glance
- 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, experience with cloud-based data pipelines, and good communication abilities.
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.
Locations
Senior Data Engineer in Newport, Wales employer: Sanderson
Future is an exceptional employer, offering a dynamic and collaborative work culture that empowers employees to take ownership of their projects. With a strong focus on professional growth, you will have the opportunity to influence engineering standards while working with cutting-edge technology in a large-scale data environment. The hybrid working model and unlimited annual leave further enhance the appeal of joining this innovative team in Bristol.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Newport, Wales
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Future. A personal introduction can make all the difference when you're applying for that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects you've worked on. This is your chance to demonstrate your hands-on Python and SQL experience, so make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on your cloud knowledge. Be ready to discuss your experience with GCP and orchestration tools like Airflow. We want you to feel confident and ready to impress!
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Senior Data Engineer in Newport, Wales
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your hands-on experience with Python and SQL, and don’t forget to mention any cloud-based data pipeline projects you've worked on. We want to see how you can bring your skills to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the opportunity at Future and how your experience aligns with their needs. We love seeing genuine enthusiasm and a clear understanding of the role.
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled engineering problems in the past. Whether it's improving existing pipelines or migrating workloads, we want to know how you approach challenges and deliver results.
Apply Through Our Website:Don’t forget to apply through our website for the best chance of getting noticed! It’s the easiest way for us to keep track of your application and ensure it gets into the right hands. We can’t wait to hear from you!
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 data pipelines and orchestration tools like Airflow or Composer, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific engineering problems you've solved in the past. Think about challenges related to data migration or pipeline reliability, and be ready to explain your thought process and the impact of your solutions.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your ideas clearly. Be prepared to discuss how you’ve worked with stakeholders and other teams in previous roles, highlighting your communication skills and ability to take ownership of projects.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data challenges or how they envision the future of their data platform. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
