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- Tasks: Lead the design and maintenance of data infrastructure and ETL processes.
- Company: Join a leading British Insurance Company focused on innovation and data-driven solutions.
- Benefits: Enjoy a competitive salary, flexible hybrid work, and professional development opportunities.
- Why this job: Make a significant impact in a large data team and advance your career in a dynamic environment.
- Qualifications: Strong SQL and Python skills, with experience in PySpark and AWS cloud services preferred.
- Other info: Ideal for motivated data professionals eager to innovate in the insurance sector.
The predicted salary is between 75600 - 88000 £ per year.
Lead Data Engineer Location: Remote Salary: £105K – £115K Data Idols are working with an exciting company who specialise in renewable energy solutions to hire a Lead Data Engineer. You will be at the forefront of the cutting edge data platform evolution and will be empowered to make decisions and have impact.The Opportunity Within this role as a Lead Data Engineer you will play a critical part in shaping and implementing the strategy and architecture of their data platform. This is a hands-on role and they are looking for someone with a strong background in Azure, Python, and SQL.Skills and Experience Strong experience working with AzureStrong in using Python and SQLExperience working with large complex data setsIf you are looking for a new challenge, then please submit your CV for initial screening and more details.
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Lead Data Engineer employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SQL, Python, and PySpark. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work in the insurance sector. Attend industry meetups or webinars to connect with potential colleagues and learn more about the challenges they face, which can help you tailor your approach.
✨Tip Number 3
Prepare to discuss your experience with AWS cloud services during interviews. Familiarise yourself with common use cases and best practices for data engineering in the cloud, as this knowledge will be crucial for the role.
✨Tip Number 4
Showcase your ability to work on both BAU and greenfield projects by preparing examples from your past experiences. Highlight how you've successfully managed existing systems while also innovating new solutions, as this aligns perfectly with the job requirements.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong expertise in SQL, Python, and PySpark. Include specific examples of your experience with ETL processes and any relevant projects you've worked on, especially those involving AWS cloud services.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the insurance sector. Mention how your skills align with the company's needs and express your enthusiasm for the opportunity to contribute to their data-driven solutions.
Highlight Relevant Experience: In your application, emphasise your experience with enterprise-scale data and any previous roles where you collaborated on both BAU and greenfield projects. This will demonstrate your ability to thrive in a technically challenging environment.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a data engineering role.
How to prepare for a job interview at Data Science Festival
✨Showcase Your Technical Skills
As a Lead Data Engineer, you'll need to demonstrate your strong expertise in SQL and Python. Be prepared to discuss specific projects where you've used these skills, and consider bringing examples of your work or code snippets to showcase your capabilities.
✨Understand the Company’s Data Needs
Research the insurance company and understand their data infrastructure and challenges. Familiarise yourself with their use of AWS cloud services, Redshift, and Snowflake, as this knowledge will help you tailor your responses and show that you're genuinely interested in their operations.
✨Prepare for Behavioural Questions
Expect questions about teamwork and leadership, especially since you'll be collaborating with a specialised team. Prepare examples that highlight your ability to lead projects, manage conflicts, and drive innovation within a team setting.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready to ask the interviewer. Inquire about the company's future data projects or how they measure success in their data engineering team. This shows your enthusiasm for the role and helps you assess if the company is the right fit for you.
