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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.
- 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.
- Other info: Minimum of 4 days per week on-site in vibrant West London.
The predicted salary is between 43200 - 72000 £ 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
- 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the MarTech industry, especially those working as Data Engineers. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects using PostgreSQL, SQL, and Python. 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 data engineering concepts. Be ready to discuss how you've ensured data integrity in past projects and how you collaborate with cross-functional teams. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Senior Data Engineer — Scalable Pipelines for ML
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 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 for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Blenheim Chalcot
✨Know Your Tech Inside Out
Make sure you brush up on your PostgreSQL, SQL, and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you 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’re not just technically skilled but also understand the bigger picture.
✨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 managed to bridge gaps between technical and non-technical team members.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy and the tools they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
