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- Tasks: Design and maintain data models while ensuring data integrity.
- Company: Leading MarTech company in the UK with a focus on innovation.
- Benefits: Pension scheme, private healthcare, and upskilling opportunities.
- Other info: Minimum of 4 days per week on-site in West London.
- Why this job: Join a dynamic team and work on impactful data engineering projects.
- Qualifications: Strong skills in PostgreSQL, SQL, Python, and data engineering concepts.
The predicted salary is between 60000 - 84000 £ per year.
A leading MarTech company in the UK is seeking a Data Engineer. In this role, you will design and maintain data models and ensure data integrity while collaborating with cross-functional teams.
The ideal candidate has strong skills in PostgreSQL, SQL, and Python, and is knowledgeable in data engineering concepts and practices.
Benefits include a pension scheme, private healthcare, and opportunities for upskilling.
This position requires a minimum of 4 days per week on-site in West London.
Senior Data Engineer — Scalable Pipelines for ML in London employer: Blenheim Chalcot
Contact Detail:
Blenheim Chalcot Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Scalable Pipelines for ML in London
✨Tip Number 1
Network like a pro! Reach out to folks in the MarTech industry on LinkedIn or at local meetups. 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 data models, SQL queries, and any Python projects you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of data engineering concepts and be ready to discuss how you've tackled challenges in past projects. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to submit your application and get noticed. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Senior Data Engineer — Scalable Pipelines for ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PostgreSQL, SQL, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you’ve made an impact!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Blenheim Chalcot
✨Know Your Tech Stack
Make sure you brush up on your PostgreSQL, SQL, and Python skills before the interview. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you've faced and how you overcame them.
✨Understand Data Engineering Concepts
Familiarise yourself with key data engineering concepts and practices. Be prepared to explain how you ensure data integrity and how you design scalable data models. This will show that you not only have the technical skills but also a solid understanding of the field.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success in previous roles.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy and the specific challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.