At a Glance
- Tasks: Lead data engineering projects using GCP and modern tools to drive innovation.
- Company: Join a forward-thinking tech company in the heart of London.
- Benefits: Competitive salary between £90,000 - £110,000 with full-time hours.
- Other info: Great opportunity for career advancement in a dynamic environment.
- Why this job: Shape the future of data solutions and lead a talented team.
- Qualifications: Expertise in Python, SQL, and experience with Snowflake and Databricks.
The predicted salary is between 90000 - 110000 € per year.
Location: London, United Kingdom
Tech stack:
- Leadership
- Data Engineer
- JavaScript
- Python
- GCP
- SQL
- BigQuery
- Dataflow
- Cloud Functions
Skills Required:
- Proficiency in Python, SQL, and modern data engineering tools
- Familiarity with JavaScript for cross-functional collaboration
- Strong background in Snowflake and Databricks to support scalable data solutions
- Leadership
Compensation: £90,000 - £110,000
Role type: Full time
Visa sponsorship: Not provided
Benefits & perks: Not specified
Lead Data Engineer (GCP) in London - Consortia employer: Java Script Works
At Consortia, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages leadership and creativity, making it an ideal place for talented individuals to thrive in their careers as Lead Data Engineers.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer (GCP) in London - Consortia
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space, especially those who work with GCP. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, SQL, and any cool stuff you've done with GCP. This gives you an edge and makes you memorable during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of data engineering tools like Snowflake and Databricks. We recommend doing mock interviews to get comfortable with the format and questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Engineer (GCP) in London - Consortia
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and GCP. We want to see how your skills align with the role, so don’t be shy about showcasing your data engineering projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how your leadership experience can benefit our team. Keep it engaging and relevant to the job description.
Showcase Your Tech Stack Knowledge:Mention your familiarity with tools like Snowflake and Databricks. We love seeing candidates who are well-versed in modern data solutions, so make sure to include any relevant projects or experiences.
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 from our team!
How to prepare for a job interview at Java Script Works
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the data engineering tools mentioned in the job description. Brush up on your knowledge of GCP, BigQuery, and Dataflow, as these will likely come up during technical discussions.
✨Showcase Leadership Skills
As a Lead Data Engineer, demonstrating your leadership abilities is crucial. Prepare examples of how you've led projects or teams in the past, focusing on your approach to collaboration and problem-solving.
✨Cross-Functional Collaboration
Familiarity with JavaScript is key for this role. Be ready to discuss how you’ve worked with cross-functional teams and how your knowledge of JavaScript has facilitated better communication and project outcomes.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to handle real-world challenges. Think about past experiences where you had to implement scalable data solutions using Snowflake or Databricks, and be prepared to explain your thought process.
