At a Glance
- Tasks: Build data pipelines and collaborate with Data Science for advanced analytics.
- Company: Dynamic data-focused client in London with a strong emphasis on innovation.
- Benefits: Competitive salary, hybrid work model, and professional growth opportunities.
- Other info: Perfect for those eager to advance their data capabilities in a collaborative environment.
- Why this job: Join a team making a real impact on data strategy and operations.
- Qualifications: Strong AWS and Databricks experience, SQL proficiency, and teamwork skills.
The predicted salary is between 63000 - 77000 £ per year.
Overview: The role involves joining a growing, data and analytics focused client in London with experience on AWS and Databricks. You will work closely with the Data Science team to build pipelines for advanced analytics and machine learning models.
Responsibilities: The description provided outlines responsibilities related to developing data pipelines and collaborating with cross-functional teams to support data-driven initiatives.
Qualifications:
- Strong experience with AWS services and Databricks
- Proficiency in SQL and experience with data modeling
- Familiarity with ETL processes and data integration tools
- Knowledge of data warehousing concepts and architecture
- Ability to work collaboratively with cross-functional teams
Details: This is a hybrid role based in London, ideal for professionals looking to make a significant impact on data strategy and operations. The role offers competitive benefits, including opportunities for professional growth and development. Apply if you are eager to play a key role in advancing our data capabilities.
Senior Data Engineer - London - AWS - Databricks - £75K employer: Jefferson Frank
Join a leading UK manufacturing and supply-chain organisation that is at the forefront of digital transformation. With a strong commitment to employee development, you will have access to competitive salaries and opportunities to enhance your IT and Data management skills in a collaborative and dynamic work environment. Located in Surrey, this hybrid role offers the chance to engage with diverse stakeholders while contributing to innovative solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - London - AWS - Databricks - £75K
✨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 Jefferson Frank!
✨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 - London - AWS - Databricks - £75K at Jefferson Frank.
✨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 Jefferson Frank.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer - London - AWS - Databricks - £75K at Jefferson Frank, 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 - London - AWS - Databricks - £75K
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 Jefferson Frank, 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 Jefferson Frank. 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 Jefferson Frank
✨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 Jefferson Frank!
✨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.
