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- Tasks: Build and maintain data pipelines while ensuring top-notch data quality.
- Company: Dynamic consulting firm with a focus on innovation and teamwork.
- Benefits: Full-time remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a talented team and make a real impact in the data engineering field.
- Qualifications: Experience with Databricks, SQL, Python, and PySpark is essential.
- Other info: Onsite visits to Swansea twice a week for collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A consulting firm is looking for a remote Data Engineer to build and maintain data pipelines while ensuring data quality and consistency. This mid-senior level position requires experience with Databricks, SQL, Python, and PySpark.
The role involves working closely with a data team and supporting junior members. The position is full-time with a requirement for onsite visits to Swansea twice a week.
Remote Data Engineer - Databricks & SC Clearance in London employer: Stealth iT Consulting
Contact Detail:
Stealth iT Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Engineer - Databricks & SC Clearance in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks or have SC clearance. 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 projects with SQL, Python, and PySpark. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building data pipelines and ensuring data quality – it’s all about demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come in.
We think you need these skills to ace Remote Data Engineer - Databricks & SC Clearance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, SQL, Python, and PySpark. We want to see how your skills match the job description, 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 excited about the role and how you can contribute to our data team. Keep it concise but engaging – we love a bit of personality!
Showcase Teamwork Skills: Since this role involves supporting junior members, highlight any experience you have in mentoring or collaborating with others. We value teamwork, so let us know how you’ve contributed to a positive team environment.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Stealth iT Consulting
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks, SQL, Python, and PySpark skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Team Spirit
Since the role involves working closely with a data team and supporting junior members, be prepared to share examples of how you've collaborated in the past. Highlight any mentoring experiences or teamwork that demonstrate your ability to support others.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about common data pipeline issues and how you would address them. Practising these scenarios can help you articulate your thought process clearly during the interview.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's data strategy or team dynamics. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
