At a Glance
- Tasks: Lead and deliver exciting cloud data projects while being hands-on with technology.
- Company: Join a dynamic team at Page Personnel in London, driving innovation in data engineering.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on architectural direction and stakeholder engagement.
- Why this job: Make a real impact in the data engineering field with cutting-edge tools like Databricks and Spark.
- Qualifications: 10+ years in data/software engineering with strong skills in Python and cloud platforms.
The predicted salary is between 63000 - 77000 £ per year.
Page Personnel in London, England, is seeking a Technical Delivery Lead to drive major cloud data initiatives.
You will be hands-on technically while leading end-to-end delivery of data engineering projects and guiding architectural direction.
Key requirements include 10+ years in data/software engineering, strong Python and Databricks expertise, and experience with Spark, Delta Lake, and cloud platforms.
A hybrid on-site model is offered with collaboration across stakeholders.
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Hybrid Senior Data Engineering Lead – Databricks & Spark employer: Page Personnel
Our client is an excellent employer, offering a supportive and collaborative culture that fosters employee growth and innovation within the Technology & Telecoms sector. With a hybrid working model and flexible hours, employees enjoy a healthy work-life balance while engaging with senior stakeholders and contributing to strategic initiatives. The company prioritises career development, providing opportunities for mentorship and progression, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Senior Data Engineering Lead – Databricks & Spark
✨Get Involved in Data Science Meetups
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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 Page Personnel.
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We think you need these skills to ace Hybrid Senior Data Engineering Lead – Databricks & Spark
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 Page Personnel, 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 Page Personnel. 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 Page Personnel
✨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 Page Personnel!
✨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.
