At a Glance
- Tasks: Solve complex data challenges and build scalable data platforms.
- Company: Join a multidisciplinary digital consultancy expanding their Engineering team.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Ideal for those passionate about data and looking to advance their careers.
- 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.
We're 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 and Pandas
- 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 Engineers employer: Harvey Nash
Join a dynamic and innovative digital consultancy that values collaboration and creativity, offering Senior Data Engineers the chance to tackle complex data challenges in a supportive hybrid work environment. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work on impactful projects across various sectors, including public sector initiatives. Our inclusive culture fosters teamwork and encourages diverse perspectives, making it an excellent place for professionals looking to make a meaningful contribution while advancing their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineers
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a role that fits your skills.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Snowflake, or AWS. 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 common data engineering challenges and solutions. Be ready to discuss your experience with data lakes and warehouses, as well as how you've tackled complex problems in past roles.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for talented data engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineers
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, Pandas, and any cloud platforms you've worked with. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for solving data challenges and how you’ve built scalable data platforms in the past. Let us know why you’re excited about joining our team!
Showcase Relevant Projects:If you've worked on any projects involving Data Lakes, Warehouses, or Snowflake, make sure to mention them. We love seeing real examples of your work that demonstrate your expertise and problem-solving skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harvey Nash
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially in Python and Pandas. Be ready to discuss specific projects where you've tackled complex data challenges, as this will show your hands-on experience and problem-solving abilities.
✨Familiarise Yourself with Cloud Platforms
Since the role requires strong experience with major cloud providers, particularly AWS, take some time to review your knowledge of cloud data solutions. Be prepared to explain how you've used these platforms in past roles, especially in relation to Data Lakes and Warehouses.
✨Showcase Your Collaboration Skills
This position involves working closely with architects, engineers, and stakeholders. Think of examples where you've successfully collaborated on projects, highlighting your communication skills and ability to deliver secure and reliable systems.
✨Prepare for Technical Questions
Expect technical questions related to Snowflake, DBT, and Terraform. Brush up on these tools and be ready to discuss how you've implemented them in your previous work. If you have experience in consultancy or public sector projects, make sure to highlight that too!
