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- Tasks: Build and optimise data pipelines while innovating a modern data platform.
- Company: A tech-driven organisation focused on growth and innovation.
- Benefits: Starting salary from £78k, insurance, and extensive holiday agreement.
- Why this job: Take ownership of impactful projects in a fast-paced environment.
- Qualifications: Strong Python and SQL skills, with experience in data warehousing.
- Other info: Opportunity to mentor others and collaborate with diverse teams.
The predicted salary is between 46800 - 78000 £ per year.
A growing tech-driven organisation is creating a brand new Senior Data Engineer role to help build a modern data platform from scratch while improving existing internal systems.
Perfect for a strong software engineer or software developer moving into data engineering who wants real ownership, modern tooling, and high impact work.
- Build and optimise new data pipelines and calculation engines
- Work across a Greenfield data platform and legacy DW
- Collaborate with Product, AI Engineering, and QA
- Design data driven scalable solutions
- Innovating change and improvements
Requirements:
- Advanced Python & SQL
- Strong software engineering foundations
- Experience with data warehousing and Databricks/Data lakes
- Solid ETL/ELT and modelling practices
- Experience as a Senior/Team Lead
- Power BI / Tableau / Cognos are beneficial
- Comfortable mentoring and speaking with stakeholders
- Thrives in a fast-moving, evolving environment
Your salary & benefits:
Start from £78k+ Insurance Extensive holiday agreement
Want to know more or think you have the skills to rise to the challenge?
Senior Data Engineer employer: *able
Contact Detail:
*able Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those in data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and data pipelines. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts simply, as you'll need to communicate with various stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives us a chance to see your application in the best light.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced Python and SQL skills in your application. We want to see how your strong software engineering foundations can translate into data engineering, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention your experience with data warehousing, Databricks, and any ETL/ELT practices you've mastered. We love seeing how you fit into our vision!
Be Yourself: Let your personality shine through in your written application. We’re looking for someone who thrives in a fast-moving environment, so don’t be afraid to show us your passion for innovation and collaboration.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at *able
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around ETL/ELT processes and data warehousing. Be ready to discuss how you've applied these concepts in past projects, as this will show your practical experience.
✨Showcase Your Python & SQL Skills
Prepare to demonstrate your advanced Python and SQL skills during the interview. You might be asked to solve a problem or optimise a query, so practice coding challenges that reflect real-world scenarios you could face in the role.
✨Familiarise Yourself with Modern Tools
Since the role involves working with Databricks and data lakes, make sure you understand how these tools work. If you have experience with Power BI, Tableau, or Cognos, be ready to discuss how you've used them to create data-driven solutions.
✨Prepare for Stakeholder Interaction
As mentoring and stakeholder communication are key parts of the job, think of examples where you've successfully collaborated with others. Be prepared to explain how you can bridge the gap between technical and non-technical teams.
