At a Glance
- Tasks: Build impactful data products and develop pipelines using SQL, Python, and PySpark.
- Company: Deepstreamtech, a forward-thinking company in Cambridge.
- Benefits: Competitive salary, collaborative culture, and opportunities for innovation.
- Other info: Join a dynamic team focused on quality and innovation in data management.
- Why this job: Shape data engineering practices and make a real difference in various sectors.
- Qualifications: Experience in data engineering and familiarity with source control solutions.
The predicted salary is between 50000 - 65000 € per year.
Deepstreamtech in Cambridge seeks a Data Engineer to build high-impact data products across Finance, Commercial, and Operations. The role involves developing data pipelines using SQL, Python, and PySpark on Databricks, ensuring reliability and usability of data platforms, and shaping data engineering practices.
Candidates should have experience in data engineering and familiarity with source control solutions. Join a collaborative environment focused on quality and innovation in data management.
Data Engineer: Databricks & PySpark Pipelines in Cambridge employer: Deepstreamtech
Deepstreamtech is an exceptional employer located in the vibrant city of Cambridge, offering a collaborative work culture that prioritises quality and innovation in data management. Employees benefit from continuous growth opportunities, engaging in high-impact projects across various sectors while enjoying a supportive environment that fosters creativity and teamwork. With a focus on developing cutting-edge data products, this role provides a unique chance to make a meaningful impact in the field of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer: Databricks & PySpark Pipelines in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Deepstreamtech or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects using SQL, Python, and PySpark. This gives you a chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for the technical interview! Brush up on your data engineering concepts and be ready to discuss your experience with source control solutions. Practising common interview questions can really help us stand out.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer: Databricks & PySpark Pipelines in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, Python, and PySpark. We want to see how you've built data pipelines and contributed to data engineering practices in your previous roles.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our collaborative environment. Share specific examples of your work that align with the role.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing practical applications of your skills, especially in building high-impact data products.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people quickly!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Stack
Make sure you’re well-versed in SQL, Python, and PySpark, as these are crucial for the role. Brush up on your Databricks knowledge too, as you might be asked to discuss how you would use it to build data pipelines.
✨Showcase Your Projects
Prepare to talk about specific projects where you've developed data pipelines or worked with data engineering practices. Highlight any challenges you faced and how you overcame them, as this shows your problem-solving skills.
✨Understand Source Control Solutions
Familiarity with source control is key. Be ready to discuss your experience with tools like Git, and how you’ve used them in previous roles to manage code and collaborate with others.
✨Emphasise Collaboration
Since the role is in a collaborative environment, be prepared to discuss how you work with others. Share examples of teamwork in your past experiences, especially in data management or engineering contexts.
