At a Glance
- Tasks: Own and enhance the Databricks data platform through coding and data modelling.
- Company: FPSG, a forward-thinking company based in Glasgow.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a collaborative team focused on cutting-edge data solutions.
- Why this job: Lead innovative data projects and make a significant impact in a dynamic environment.
- Qualifications: Experience in data engineering and proficiency with Databricks and Delta Lake.
The predicted salary is between 60750 - 74250 £ per year.
FPSG in Glasgow seeks a Senior Data Engineer to own the Databricks-based data platform's maintenance, expansion, and performance.
This hands-on role centers on writing pipeline code, building jobs, and data modelling as the daily core tasks.
You design and operate pipelines, collaborate with source systems, and implement Delta Lake pipelines while controlling deployment bundles and CI practices.
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Senior Data Engineer: Databricks Platform Lead in Glasgow employer: FPSG
Join a dynamic team in Glasgow where innovation meets collaboration! As a Business Analyst, you'll thrive in a supportive work culture that values your insights and fosters professional growth through diverse projects and training opportunities. Enjoy the flexibility of hybrid working while contributing to meaningful technology and transformation initiatives that make a real impact across the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Databricks Platform Lead in Glasgow
✨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 FPSG!
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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 FPSG.
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When you find a suitable opening like Senior Data Engineer: Databricks Platform Lead at FPSG, 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: Databricks Platform Lead in Glasgow
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 FPSG, 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 FPSG. 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 FPSG
✨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 FPSG!
✨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.
