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- Tasks: Build and maintain production-grade data pipelines using Python and SQL.
- Company: Dynamic tech company focused on digital delivery and innovation.
- Benefits: Hybrid work model, career development support, and training budget.
- Why this job: Make a real impact with cutting-edge data solutions in a fast-paced environment.
- Qualifications: Experience with data engineering and familiarity with tools like Snowflake or Databricks.
- Other info: Join a dedicated scrum team and enjoy excellent growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A tech company focused on digital delivery is seeking a Data Engineer to help clients deploy and maintain data pipelines. In a fast-paced, agile environment, you will develop sophisticated data solutions utilizing Python and SQL, along with tools like Snowflake or Databricks.
The role offers a hybrid work model, providing opportunities to work on projects that make a difference and support for career development through a dedicated scrum team and training budget.
Data Engineer: Build Production-Grade Data Pipelines in Leeds employer: AND Digital
Contact Detail:
AND Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Production-Grade Data Pipelines in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your expertise in Python, SQL, and tools like Snowflake or Databricks.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions. 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! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer: Build Production-Grade Data Pipelines in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant tools like Snowflake or Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing your best 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 you can contribute to our agile environment. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex data challenges. We’re looking for someone who can build production-grade data pipelines, so share those success stories that demonstrate your expertise!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at AND Digital
✨Know Your Tech Stack
Make sure you’re well-versed in Python and SQL, as these are crucial for the role. Brush up on your knowledge of Snowflake and Databricks too, as being able to discuss how you've used these tools in past projects will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced while building data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you approached problems and what solutions you implemented.
✨Understand Agile Methodologies
Since the company operates in a fast-paced, agile environment, be ready to talk about your experience with agile practices. Share examples of how you've worked in sprints or collaborated with scrum teams to deliver projects efficiently.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the types of projects you might work on or how the team supports career development. This demonstrates your enthusiasm and helps you gauge if the company is the right fit for you.
