Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Solve complex data challenges and build scalable data platforms.
- Company: Join a multidisciplinary digital consultancy with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by delivering secure and reliable data systems.
- Qualifications: 4+ years in Data Engineering, strong Python skills, and cloud experience.
- Other info: Ideal for those passionate about data and looking for career advancement.
The predicted salary is between 60000 - 70000 £ per year.
We are partnered with a multidisciplinary digital consultancy team who are expanding their Engineering function with talent Cloud Data Engineers. This role is ideal for someone who enjoys solving complex data challenges, building scalable data platforms, and working closely with architects, engineers and stakeholders to deliver systems that are secure, reliable and genuinely useful.
Required skills:
- 4+ years' experience in Data Engineering-related roles
- Strong experience in Python
- Strong experience in Major Cloud providers, ideally AWS
- Experience working with Data Lakes/Warehouses/Meshes
- Strong experience with Snowflake, DBT and Terraform
Bonus points if you have experience working for Consultancies or working on Public Sector / Government projects!
Please note, you must be able to work full time in the UK, we can't offer sponsorship for this role.
Senior Data Engineer - Manchester/Leeds (Hybrid) - £70K employer: Harvey Nash Group
Contact Detail:
Harvey Nash Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Manchester/Leeds (Hybrid) - £70K
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work in consultancies or have experience with public sector projects. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, AWS, and tools like Snowflake and DBT. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle complex data challenges on the spot, as this role is all about delivering secure and reliable systems. Practice common data engineering scenarios to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find and apply for roles like this one. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Senior Data Engineer - Manchester/Leeds (Hybrid) - £70K
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Engineering, especially with Python and cloud providers like AWS. We want to see how your skills match the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about solving data challenges and how your experience aligns with our needs. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool data platforms or projects, make sure to mention them! We’re keen to see examples of your work, especially if they involve Data Lakes, Snowflake, or Terraform. It helps us understand your hands-on experience.
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Harvey Nash Group
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially in Python and cloud platforms like AWS. Be ready to discuss your experience with data lakes, warehouses, and tools like Snowflake, DBT, and Terraform. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Since this role involves solving complex data challenges, prepare to share examples of how you've tackled similar issues in the past. Think about the processes you followed, the obstacles you faced, and how you collaborated with others to find solutions.
✨Understand the Company’s Projects
Do a bit of homework on the consultancy's recent projects, especially those related to public sector or government work. This will not only show your interest but also help you tailor your answers to align with their goals and values.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. This could be about their engineering practices, team dynamics, or future projects. It shows you're genuinely interested and helps you gauge if the company is the right fit for you.
