At a Glance
- Tasks: Design and build robust data pipelines using Azure Databricks.
- Company: Join a growing tech team at Cognitive Group, part of Focus Cloud Group.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Take ownership of the data landscape and drive impactful analytics.
- Qualifications: Experience in data engineering and proficiency with Azure Databricks.
The predicted salary is between 60750 - 74250 £ per year.
Cognitive Group | Part of the Focus Cloud Group is seeking a Senior Data Engineer to join a growing technology team.
You will design, build and run robust data pipelines, integrating data from multiple sources and transforming datasets into high-quality information for use across the organisation.
This hands-on role offers ownership of the data landscape and the ability to drive governance, data quality and analytics.
#J-18808-Ljbffr
Senior Data Engineer: Azure Databricks & Scalable Pipelines in Newcastle upon Tyne employer: Cognitive Group | Part of the Focus Cloud Group
As a leading Microsoft consultancy, we pride ourselves on fostering a dynamic work culture that champions innovation and continuous learning. Our Technical Copilot Trainer role offers not only the opportunity to engage with cutting-edge AI technologies but also provides a clear pathway for career advancement into AI Consulting or Solution Architecture. With a hybrid working model based in London, employees benefit from a collaborative environment while enjoying the flexibility to balance their professional and personal lives.
Contact Details:
Cognitive Group | Part of the Focus Cloud Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Azure Databricks & Scalable Pipelines in Newcastle upon Tyne
✨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 Cognitive Group | Part of the Focus Cloud Group!
✨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 Data Engineer: Azure Databricks & Scalable Pipelines at Cognitive Group | Part of the Focus Cloud Group.
✨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 Cognitive Group | Part of the Focus Cloud Group.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer: Azure Databricks & Scalable Pipelines at Cognitive Group | Part of the Focus Cloud Group, 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 Data Engineer: Azure Databricks & Scalable Pipelines in Newcastle upon Tyne
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 Cognitive Group | Part of the Focus Cloud Group, 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 Cognitive Group | Part of the Focus Cloud Group. 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 Cognitive Group | Part of the Focus Cloud Group
✨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 Cognitive Group | Part of the Focus Cloud Group!
✨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.
