At a Glance
- Tasks: Build scalable data platforms and develop complex data pipelines using Azure and Databricks.
- Company: Join a leading tech firm focused on innovative cloud-based solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on career advancement and skill development.
- Why this job: Make an impact by optimising data solutions in a cutting-edge tech environment.
- Qualifications: 4+ years in Data Engineering with hands-on Azure Databricks experience.
The predicted salary is between 58500 - 71500 £ per year.
We are looking for a Strong Middle / Senior Databricks Developer with Azure to build scalable data platforms, develop complex data pipelines, and support cloud based data engineering solutions.
The Data Platform project focuses on delivering cloud based data engineering solutions in the Microsoft Azure ecosystem.
You will work with Databricks, Spark, and Azure services to build and optimize reliable data pipelines and support modern Lakehouse architecture.
- Design data solutions using Databricks
- Develop data pipelines for structured and unstructured data
- Build ETL and ELT workflows in Azure
- Develop high performance solutions using Py Spark and Spark SQL
- Design Lakehouse architectures using Delta Lake
- Integrate data from databases APIs cloud services and streaming platforms
- Optimize Spark workloads for performance scalability and cost efficiency
- Ensure data quality governance security and monitoring standards
- Collaborate with Data Engineers Data Architects Analytics teams and business stakeholders
- Participate in architectural discussions and technical decision making
- Support CI and CD processes and infrastructure automation practices
- 4+ years of experience in Data Engineering
- 3+ years of hands on experience with Azure Databricks
- Experience with Apache Spark and Py Spark
- Knowledge of Python and SQL
- Experience with Azure Data Factory
- Experience with Azure Data Lake Storage Gen2
- Experience with Delta Lake and Lakehouse architecture
- Experience implementing end to end data pipelines in Azure
- Understanding of data modeling principles and best practices
- Experience working with large scale datasets in cloud environments
- Experience with Git based version control systems
- Upper Intermediate or higher English level
- Experience optimizing Spark workloads
- Experience collaborating with cross functional technical and business teams
- Experience supporting CI and CD processes
- Experience with infrastructure automation practices
Middle Databricks Developer with Azure, Data Platform in London employer: DataArt
DataArt is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those passionate about AI in the Healthcare & Life Sciences sector. With a strong emphasis on employee growth, you will have access to cutting-edge projects and the opportunity to lead transformative solutions that make a real difference in people's lives. Located in a vibrant tech hub, DataArt offers unique advantages such as flexible working arrangements and a commitment to professional development, making it an ideal place for talented individuals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Middle Databricks Developer with Azure, Data Platform in London
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We think you need these skills to ace Middle Databricks Developer with Azure, Data Platform in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at DataArt, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at DataArt. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at DataArt
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at DataArt!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
