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 dynamic and innovative company that prioritises collaboration and employee growth, making it an excellent employer for a Data Engineering Manager. With a strong focus on mentorship, you will have the opportunity to lead a growing team while working in a vibrant office environment in central London/Guildford, complete with a free onsite restaurant and gym. This role not only allows you to shape impactful data platforms but also fosters a culture of rapid delivery and teamwork, ensuring your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Azure Data Engineer (Databricks, Delta Live Tables, Unity Catalog) in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Primus Connect!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Azure Data Engineer (Databricks, Delta Live Tables, Unity Catalog) at Primus Connect.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Primus Connect.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Azure Data Engineer (Databricks, Delta Live Tables, Unity Catalog) at Primus Connect, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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 🫡
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Primus Connect, 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 Primus Connect. 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 Primus Connect
✨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!
✨Showcase Your Projects
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 Primus Connect!
✨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.
