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- Tasks: Lead data engineering projects using Azure and Databricks, ensuring top-notch data quality.
- Company: Dynamic digital recruitment agency focused on innovation and diversity.
- Benefits: Competitive salary, remote work flexibility, and a welcoming environment for all backgrounds.
- Why this job: Join a forward-thinking team and shape the future of data technology.
- Qualifications: Proficient in Python, SQL, and experienced with Azure Data Factory.
- Other info: Exciting opportunity for career growth in a collaborative remote setting.
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 employer: Futureheads
Contact Detail:
Futureheads Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Tech Lead — Azure Databricks
✨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 data engineering scenarios. Think about how you'd tackle challenges related to data quality and collaboration with analytics teams. We want you to feel confident and ready to impress!
✨Tip Number 4
Don't forget to apply through our website! It’s the easiest way to get your application noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Remote Data Tech Lead — Azure Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and the specific skills mentioned in the job description. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Include examples of data pipelines you've designed or any relevant projects that demonstrate your expertise in Python, SQL, and Azure Data Factory. This helps us understand your hands-on experience.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about this role and how you can contribute to our team. Be genuine and let your personality shine through!
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 us!
How to prepare for a job interview at Futureheads
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've designed data pipelines or ensured data quality, as this will show your hands-on experience with Azure and Databricks.
✨Showcase Your Collaboration Skills
Since this role involves working closely with analytics teams, prepare examples of how you've successfully collaborated in the past. Highlight any instances where your teamwork led to improved data solutions or project outcomes.
✨Familiarise Yourself with Infrastructure as Code
Get comfortable discussing Infrastructure as Code concepts and tools. Be prepared to explain how you've implemented these practices in previous roles, as it’s a key part of the job description.
✨Diversity Matters
This company values diverse backgrounds, so don’t hesitate to share your unique perspective or experiences. Think about how your background can contribute to the team and be ready to discuss it during the interview.
