At a Glance
- Tasks: Build and optimise data pipelines using Python and AWS for real-time insurance quotes.
- Company: Leading European car insurance tech company expanding in the UK.
- Benefits: Up to £95k salary, remote work, flexible hours, and wellness perks.
- Other info: Enjoy a diverse workplace with excellent career growth and support networks.
- Why this job: Join a dynamic team and influence cutting-edge tech solutions in a growing industry.
- Qualifications: Strong Python skills, ETL experience, and familiarity with AWS or similar cloud platforms.
The predicted salary is between 85500 - 104500 £ per year.
Are you a Cloud savvy Data Engineer seeking an opportunity to work on complex, Greenfield systems using the latest tech? You could be progressing your career at a hugely successful European car insurance tech company as they expand their UK presence.
As a Data Engineer you'll work with vast amounts of real-time data, enabling an insurance quote to be made to the consumer within 60 seconds, using just 4 clicks. You will bridge the gap between Data Scientists / Data Analysts and Software Engineers; from shaping requirements, through designing and building well engineered data pipelines and data warehousing solutions to support business growth in the UK using a modern tech stack that you'll be able to influence.
Location / WFH: The company is a big advocate of flexible working and prides itself on DEI; you can go into the London office as often or as little as desired and can work fully remotely from anywhere in England.
- You have strong Data Engineering experience
- You have strong Python coding skills
- You have experience of building ETL data pipelines
- You have experience with AWS (or other cloud platform, Azure, GCP)
- You have experience working within tech or SaaS companies
- You are degree educated, Computer Science or similar tech or numerate discipline
- You're collaborative with great communication skills
Nice to haves: Databricks, Kafka, Data Governance (GRC)
What's in it for you: As a Data Engineer you will earn a competitive package:
- Up to 95k salary
- Remote working including flexible working hours
- Workplace nursery scheme
- Enhanced maternity package
- 25 days holiday plus ability to buy or sell 5 days p/year + extra "duvet day"
- Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance Programme
- Weekly Yoga and monthly Acupuncture sessions, Headspace membership
- Diverse, inclusive team environment with a range of support networks
- A range of other perks including Perkbox, cycle to work, season ticket loan
Apply now to find out more about this Data Engineer (Python ETL AWS SaaS) opportunity.
Data Engineer Python,aws Remote in London employer: Client Server
Join a dynamic and innovative FinTech company that values technical expertise and offers a collaborative work culture. With a competitive salary of up to £100k plus bonuses, you'll have the opportunity to make a significant impact while enjoying hybrid working arrangements in London. The company prioritises employee growth, providing ample opportunities for career progression and staying at the forefront of emerging technologies in the finance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Python,aws Remote 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 Client Server!
✨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 Data Engineer Python,aws Remote at Client Server.
✨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 Client Server.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer Python,aws Remote at Client Server, 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 Data Engineer Python,aws Remote 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 Client Server, 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 Client Server. 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 Client Server
✨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 Client Server!
✨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.
