At a Glance
- Tasks: Design and manage data pipelines using Azure and Databricks technologies.
- Company: Join a leading tech partner in the Microsoft and Databricks ecosystem.
- Benefits: Competitive daily rate, remote work, and exposure to cutting-edge technologies.
- Other info: Exciting contract role with opportunities for professional growth.
- Why this job: Make an impact in big data and AI applications while working with innovative tools.
- Qualifications: Experience with Big Data technologies and proficiency in Python required.
We are currently recruiting for an experienced Data Engineer skilled in Microsoft Azure and cloud computing concepts. As the Azure Data Engineer, you will work closely with a Microsoft & Databricks partner with responsibilities of end-to-end design, build and deployment of industry-leading big data and AI applications.
Your work will be varied and your responsibilities will include:
- Designing, developing, and managing end-to-end data pipelines
- Data processing and transformation using Spark
- Providing technical governance to enhance ways of working
- Champion DevOps and CI/CD methodologies to ensure agile collaboration and robust data solutions
- Engineer and orchestrate data models and pipelines
- Lead development activities using Python, PySpark and other technologies
- Write high-quality code that contributes to a scalable and maintainable data platform
To be successful in this role, you will need to have the following qualifications:
- Experience with Big Data Technologies such as Spark, Kafka in a customer-facing post-sales, technical architecture or consulting role
- Experience working on Big Data Architectures independently
- Comfortable writing code in Python
- Experience working across Azure including Azure Data Factory, Azure Synapse, Azure Delta Lake Storage, Delta Lake etc
- Experience with Purview, Unity Catalog etc
- Experience with streaming Data in Kafka/Event Hubs/Stream Analytics etc
- Experience working in the Databricks ecosystem
- MLOps
This is an exciting contract opportunity working at the cutting edge of technologies. To be considered, please click apply.
Senior Azure Data Engineer (Databricks, Delta Live Tables, Unity Catalog) in London employer: Primus Connect
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your expertise as a Senior Azure Data Engineer will be recognised and rewarded. With a focus on employee growth, you will have access to cutting-edge technologies and the opportunity to work alongside industry leaders in a fully remote setting, ensuring a healthy work-life balance while contributing to impactful projects in big data and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Azure Data Engineer (Databricks, Delta Live Tables, Unity Catalog) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure or Databricks. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and big data technologies. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Azure and Databricks. Practise explaining your past projects and how you tackled challenges, as this will demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Let’s get you that dream job!
We think you need these skills to ace Senior Azure Data Engineer (Databricks, Delta Live Tables, Unity Catalog) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure, Databricks, and big data technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Technical Skills:Be specific about your technical expertise in Python, Spark, and other tools mentioned in the job description. We love seeing examples of your work, so feel free to include links to projects or GitHub repositories.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Primus Connect
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure, Databricks, and the specific tools mentioned in the job description. Be ready to discuss your experience with Spark, Delta Live Tables, and Unity Catalog. Having real-world examples of how you've used these technologies will show you're not just familiar but truly skilled.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles, especially those related to data pipelines and big data architectures. Think about how you approached these problems and what solutions you implemented. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Demonstrate Your Coding Proficiency
Since coding is a big part of this role, be prepared to talk about your experience with Python and PySpark. You might even be asked to solve a coding problem during the interview, so practice writing clean, efficient code that adheres to best practices. It’s all about showing you can contribute to a scalable and maintainable data platform.
✨Emphasise Collaboration and Agile Methodologies
As the role involves working closely with teams, highlight your experience with DevOps and CI/CD methodologies. Share examples of how you've championed agile collaboration in past projects. This will show that you understand the importance of teamwork and can help enhance ways of working within the company.
