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- Tasks: Design and optimise scalable data pipelines using Python, SQL, and orchestration tools.
- Company: Harnham, a leading data recruitment agency based in Manchester.
- Benefits: Salary up to £100,000, health insurance, and flexible working arrangements.
- Other info: Remote work opportunity with a dynamic team and career growth potential.
- Why this job: Take ownership of exciting data projects and make a real impact in the tech world.
- Qualifications: Extensive experience in data engineering, AWS familiarity, and strong data modelling skills.
The predicted salary is between 100000 - 100000 £ per year.
Harnham in Manchester is seeking a Senior Data Engineer to take ownership of end-to-end data engineering projects. You will design, build, and optimize scalable data pipelines using Python, SQL, and modern orchestration tools.
The ideal candidate has extensive experience with data modeling and engineering best practices, and familiarity with AWS.
The role offers a salary up to £100,000 along with comprehensive benefits including health insurance and flexible working arrangements.
Senior Data Engineer: AWS, Airflow & DBT (Remote UK) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: AWS, Airflow & DBT (Remote UK)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects using Python, SQL, AWS, and Airflow. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with data modeling and engineering best practices. We recommend practising common interview questions related to data engineering to boost your confidence.
✨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. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer: AWS, Airflow & DBT (Remote UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Airflow, and DBT. We want to see how your skills align with the role, so don’t be shy about showcasing 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 data engineering and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Technical Skills: When detailing your experience, focus on your proficiency in Python, SQL, and data pipeline optimisation. We love seeing specific examples of how you've tackled challenges in previous roles!
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 Harnham
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Airflow, and DBT. Brush up on your Python and SQL skills too, as you’ll likely be asked to demonstrate your knowledge of these technologies during the interview.
✨Showcase Your Projects
Prepare to discuss specific end-to-end data engineering projects you've worked on. Highlight your role in designing and optimising data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Understand Data Modelling Best Practices
Familiarise yourself with data modelling concepts and best practices. Be prepared to discuss how you approach data architecture and ensure scalability in your designs, as this will be crucial for the role.
✨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 assess if it’s the right fit for you.