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- Tasks: Lead data engineering projects using Azure and Databricks, ensuring top-notch data quality.
- Company: Join a forward-thinking digital recruitment agency with a focus on innovation.
- Benefits: Enjoy a competitive salary and the flexibility of remote work.
- Why this job: Make a significant impact in data management while working with cutting-edge technologies.
- Qualifications: Proficient in Python, SQL, and experienced with Azure Data Factory.
- Other info: Diverse and inclusive workplace with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A digital recruitment agency is seeking a Data Tech Lead to manage data engineering initiatives in Azure and Databricks. This role demands expertise in designing data pipelines, ensuring data quality, and collaborating with analytics teams.
Candidates should be skilled in Python and SQL, with experience in Azure Data Factory and Infrastructure as Code. This remote position offers a competitive salary and welcomes applicants from diverse backgrounds.
Remote Data Tech Lead — Azure Databricks in London employer: Futureheads
Contact Detail:
Futureheads Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Tech Lead — Azure Databricks in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects using Python and SQL. 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 common technical questions related to Azure Data Factory and Infrastructure as Code. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Remote Data Tech Lead — Azure Databricks in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and data engineering. We want to see how your skills in Python and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Data Tech Lead role. Share your passion for data and how your previous experiences align with our needs. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool data pipelines or used Infrastructure as Code, make sure to mention them! We love seeing real examples of your work that demonstrate your expertise and creativity.
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 Futureheads
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure, Databricks, Python, and SQL. Be ready to discuss specific projects where you've designed data pipelines or ensured data quality. The more detailed examples you can provide, the better!
✨Showcase Your Collaboration Skills
Since this role involves working with analytics teams, be prepared to talk about how you've successfully collaborated in the past. Share instances where your teamwork led to improved outcomes, especially in data engineering initiatives.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that test your problem-solving skills. Think of challenges you've faced in previous roles, particularly related to data quality or pipeline design, and explain how you tackled them. This will show your analytical thinking and technical prowess.
✨Familiarise Yourself with Infrastructure as Code
If you have experience with Infrastructure as Code, make sure to highlight it. Be ready to discuss tools you've used and how they’ve helped streamline processes. If you're less familiar, do some quick research to understand its importance in data engineering.
