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- Tasks: Build and optimise data pipelines using Python and cloud technologies.
- Company: Join a leading European car insurance tech company with a focus on innovation.
- Benefits: Up to £95k salary, flexible working, enhanced maternity package, and wellness perks.
- Other info: Diverse and inclusive team with excellent career growth opportunities.
- Why this job: Work on exciting Greenfield projects and make a real impact in the insurance industry.
- Qualifications: Strong Python skills and experience in building ETL data pipelines.
The predicted salary is between 95000 - 95000 £ 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 growing and hugely successful European car insurance tech company as they expand their UK presence.
As a Data Engineer, you will 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 will be able to influence.
There are multiple opportunities across different teams, so you will be able to play to your strengths and pick up new skills along the way.
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 can also work at times that suit you.
About you:
- 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 are collaborative with great communication skills
Nice to haves: Databricks, Kafka, Data Governance (GRC)
What’s in it for you:
- Up to £95k salary
- 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 opportunity.
At Client Server, we believe in a diverse workplace that allows people to play to their strengths and continually learn. We are an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Data Engineer Python ETL SaaS in London employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Python ETL SaaS in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python and ETL pipelines. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer Python ETL SaaS in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your Python skills, ETL experience, and any cloud platform knowledge you have. We want to see how your background fits with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Relevant Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or working with real-time data, we want to know what you've done and how it relates to the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at Client Server
✨Know Your Tech Stack
Make sure you’re familiar with the latest technologies mentioned in the job description, especially Python, ETL processes, and cloud platforms like AWS. Brush up on your knowledge of data pipelines and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Collaboration Skills
Since the role involves bridging gaps between Data Scientists, Analysts, and Software Engineers, prepare examples that highlight your teamwork and communication skills. Think of specific instances where you successfully collaborated on a project or resolved conflicts within a team.
✨Prepare for Technical Questions
Expect technical questions related to data engineering and coding. Practice coding challenges in Python and be ready to explain your thought process. You might also want to review common ETL scenarios and how you would approach them using best practices.
✨Understand the Company Culture
Research the company’s values, especially their commitment to diversity, equity, and inclusion. Be prepared to discuss how you align with these values and how you can contribute to a positive team environment. This will show that you’re not just a fit for the role, but also for the company culture.