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- Tasks: Develop and maintain data infrastructures while leading innovative technical projects.
- Company: Leading data consultancy in Manchester with a dynamic team culture.
- Benefits: Hybrid working option, competitive salary, and opportunities for innovation.
- Why this job: Join a forward-thinking team and make an impact in data integration and AI.
- Qualifications: 5+ years of experience in data engineering with strong SQL and Python skills.
- Other info: Collaborate with diverse teams and enhance your career in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading data consultancy in Manchester is seeking a skilled Data Engineer to develop and maintain data infrastructures, lead technical projects, and ensure best practices across data-led projects.
Ideal candidates will have over 5 years of experience, strong SQL and Python skills, and the ability to collaborate effectively with non-technical stakeholders.
This permanent role offers a hybrid working option, a dynamic team environment, and opportunities to innovate in data integration and AI applications.
Senior Data Engineer & Pipelines Architect (Hybrid) in Manchester employer: Open Partners
Contact Detail:
Open Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer & Pipelines Architect (Hybrid) in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend meetups, and engage with industry professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving SQL and Python. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to collaborate with non-technical stakeholders. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer & Pipelines Architect (Hybrid) in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python expertise in your application. We want to see how your experience aligns with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who understand our needs and can demonstrate how they fit into our dynamic team environment.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and achievements.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in data engineering!
How to prepare for a job interview at Open Partners
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves leading technical projects, prepare examples that highlight your leadership experience. Think about times when you guided a team or made key decisions that positively impacted a project.
✨Communicate with Clarity
You'll need to collaborate with non-technical stakeholders, so practice explaining complex data concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Emphasise Innovation
The job mentions opportunities to innovate in data integration and AI applications. Come prepared with ideas or examples of how you've implemented innovative solutions in past roles, showing your forward-thinking approach.
