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- Tasks: Design and maintain data pipelines using cutting-edge tools like Databricks and AWS.
- Company: Join Natobotics, a forward-thinking tech company in London.
- Benefits: Enjoy hybrid work options, competitive salary, and professional growth opportunities.
- Why this job: Make an impact in data engineering while working with innovative technologies.
- Qualifications: 7+ years of experience in data engineering with skills in Python, PySpark, and SQL.
- Other info: Dynamic team environment with excellent career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
Possibility of remote work: Hybrid (number of WFO days will depend on the client's needs)
Contract duration: 6 months
Location: London
Required Core Skills:
- Databricks
- AWS
- Python
- Pyspark
- Data modelling
Minimum years of experience: 7 years
Job Description:
- Must have hands-on experience in designing, developing, and maintaining data pipelines and data streams.
- Must have a strong working knowledge of moving/transforming data across layers (Bronze, Silver, Gold) using ADF, Python, and PySpark.
- Must have hands-on experience with PySpark, Python, AWS, and data modelling.
- Must have experience in ETL processes.
- Must have hands-on experience in Databricks development.
- Good to have experience in developing and maintaining data integrity and accuracy, data governance, and data security policies and procedures.
- Must have hands-on experience in SQL development.
- Excellent communication skills & logical thinking.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting
Senior Data Engineer in City of London employer: Natobotics
Contact Detail:
Natobotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Natobotics or similar companies. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Databricks, AWS, and Python. We all know that hands-on experience speaks volumes!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to tackle hypothetical scenarios related to data pipelines and ETL processes. This is your chance to shine and demonstrate your logical thinking!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, AWS, Python, and PySpark. We want to see how your skills match the job description, so don’t be shy about showcasing your data pipeline expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data Engineer role. Share specific examples of your past projects and how they relate to the responsibilities listed in the job description.
Show Off Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects that. Keep your language clear and concise, and don’t forget to proofread for any typos or errors before hitting send!
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 – just follow the prompts!
How to prepare for a job interview at Natobotics
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks, AWS, Python, and PySpark. Brush up on your data modelling skills and be ready to discuss your hands-on experience with ETL processes. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your logical thinking and problem-solving abilities. Think of scenarios where you’ve tackled complex data challenges and how you approached them. This will show that you can think on your feet and adapt to new situations.
✨Communicate Clearly
Excellent communication is key! Practice explaining technical concepts in a way that’s easy to understand. You might be asked to explain your past projects or methodologies, so clarity and confidence are crucial.
✨Understand the Company’s Needs
Research Natobotics and their projects. Understanding their goals and how your role as a Senior Data Engineer fits into their vision will help you tailor your responses and show that you’re genuinely interested in contributing to their success.
