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- Tasks: Design and implement advanced data systems to solve real business challenges.
- Company: Leading UK data consultancy with a fast-paced, close-knit culture.
- Benefits: Competitive salary, performance bonuses, private healthcare, and a learning budget.
- Why this job: Make a real impact while working on diverse client projects across the UK.
- Qualifications: 4+ years in data engineering, strong programming skills, and excellent communication.
- Other info: Hybrid working arrangement with opportunities for career growth and mentoring.
The predicted salary is between 40000 - 60000 £ per year.
CV Technical are proud to be partnered with a leading UK data consultancy who are looking to grow their data engineering capabilities with a Senior Data Engineer on a permanent basis. You will have the opportunity to work across a variety of client engagements, create real business impact, and contribute to the growth of a fast-moving, close-knit consultancy.
The Role:
Manchester based with a hybrid working arrangement. You will work across a diverse portfolio of client assignments, delivering technical solutions that address a wide spectrum of data-related challenges and enabling organisations to make informed, data-driven decisions. In this position, you will design and implement advanced data systems and pipelines that meet clients' needs with scalability and reliability in mind. You will also collaborate closely with both technical and business stakeholders, ensuring you fully understand their objectives and can translate their requirements into effective solutions.
Essential Skills & Experience:
- UK Resident - Position requires Full Security Clearance
- Bachelors or Masters degree in a STEM subject
- Programming experience in Python, R, SQL, SAS
- Experienced with DevOps processes
- Experienced working in regulated industries
- Experienced on the Microsoft Azure stack
- Excellent stakeholder and communication skills
- 4+ years experience in data engineering
- Experience mentoring or supporting more junior engineers
- Experience migrating between platforms
- Experience with SAS tools and SAS administration
- Agile Development and Deployment experience
As this role is for a consultancy, travel across the UK to client sites may be required on occasion. Due to the nature of the projects, only candidates who have full working rights (no sponsorship offered) and those who can obtain full security clearance will be considered.
Benefits:
- £40,000 - £60,000 base salary (dependant on experience)
- Company + Performance bonus
- Excellent company pension contribution
- Private healthcare
- Learning & Development budget
Interviews are happening immediately, please apply directly to be considered. Only candidates living in the UK and within a commutable distance to Manchester and those who can obtain full security clearance are being considered.
Senior Data Engineer in Manchester employer: CV Technical
Contact Detail:
CV Technical Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage on platforms like 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 projects, especially those involving Python, SQL, or Azure. This gives potential employers a tangible sense of what you can do and how you tackle real-world data challenges.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with DevOps processes and how you've collaborated with stakeholders. Practice makes perfect!
✨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 connect directly with us.
We think you need these skills to ace Senior Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, SQL, and Azure, and don’t forget to showcase any mentoring you've done. We want to see how you can bring value to our team!
Showcase Your Projects: Include specific projects where you've designed and implemented data systems. We love seeing real examples of your work, especially those that had a significant impact on business decisions. This helps us understand your hands-on experience.
Communicate Clearly: Since you'll be collaborating with both technical and business stakeholders, make sure your application reflects your communication skills. Use clear language and avoid jargon where possible. We appreciate straightforwardness!
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’re considered for the role. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at CV Technical
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python, R, SQL, and SAS. Be ready to discuss your experience with the Microsoft Azure stack and DevOps processes, as these are crucial for the role.
✨Understand the Consultancy Landscape
Familiarise yourself with the consultancy's approach to data engineering. Research their client engagements and think about how your skills can create real business impact. This will help you demonstrate your fit for the role.
✨Prepare for Stakeholder Interaction
Since you'll be collaborating with both technical and business stakeholders, practice explaining complex technical concepts in simple terms. Think of examples where you've successfully translated requirements into effective solutions.
✨Showcase Your Mentoring Experience
If you've mentored junior engineers before, be prepared to share specific examples. Highlight how you've supported their growth and contributed to team success, as this is a valuable asset for the consultancy.
