At a Glance
- Tasks: Design and develop scalable data pipelines while ensuring data integrity.
- Company: Join North Highland, a leading change consultancy in London.
- Benefits: Competitive pay, diverse workplace, and opportunities for growth.
- Other info: Onsite work 2-3 days a week; SC clearance required.
- Why this job: Make an impact by working on innovative data solutions with a collaborative team.
- Qualifications: Degree in Computer Science and skills in Python, SQL, and cloud platforms.
The predicted salary is between 50000 - 70000 £ per year.
North Highland, a leading change consultancy, is seeking a Data Engineer to join their team in London. The ideal candidate will design and develop scalable data pipelines, ensuring data integrity and accessibility while collaborating with cross-functional teams.
A degree in Computer Science or a related field and proficiency in Python, SQL, and cloud platforms are essential.
This PAYE Umbrella contract requires onsite work 2-3 days per week, with valid SC clearance and UK national status necessary for applicants.
North Highland values diversity and is committed to providing equal employment opportunities.
London Onsite Data Engineer | Pipelines & Data Lakes in City of Westminster employer: North Highland
North Highland is an exceptional employer that fosters a collaborative and inclusive work culture, making it an ideal place for Data Engineers to thrive. With a strong commitment to employee growth, we offer opportunities for professional development and skill enhancement in the dynamic field of data engineering. Located in London, our team enjoys the vibrant city life while working on impactful projects that drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land London Onsite Data Engineer | Pipelines & Data Lakes in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to current employees at North Highland on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data pipelines and SQL queries. This hands-on evidence can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Data Engineers. We can even do mock interviews together to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team.
We think you need these skills to ace London Onsite Data Engineer | Pipelines & Data Lakes in City of Westminster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines and cloud platforms. We want to see how your skills in Python and SQL can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for the Data Engineer role. Share your passion for data engineering and how you’ve collaborated with cross-functional teams in the past.
Showcase Your Technical Skills:Since we’re looking for someone proficient in Python, SQL, and cloud platforms, make sure to include specific examples of how you’ve used these technologies in your previous roles. We love seeing real-world applications!
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’s super easy!
How to prepare for a job interview at North Highland
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and cloud platforms before the interview. Be ready to discuss specific projects where you've used these skills, as well as any challenges you faced and how you overcame them.
✨Understand Data Pipelines and Lakes
Familiarise yourself with the concepts of data pipelines and data lakes. Be prepared to explain how you would design scalable solutions and ensure data integrity. Having real-world examples will help demonstrate your expertise.
✨Show Your Collaborative Spirit
Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you can bridge gaps between technical and non-technical team members.
✨Be Ready for SC Clearance Questions
As valid SC clearance is a requirement, be prepared to discuss your eligibility and any previous experience with security clearance processes. This shows you're not only qualified but also understand the importance of data security in your role.