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- Tasks: Lead software design and development for innovative data engineering projects.
- Company: Dynamic data science consultancy focused on cutting-edge solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by overseeing exciting client projects in AI and data platforms.
- Qualifications: Experience in Python, SQL, Docker, and CI/CD pipelines required.
- Other info: Join a collaborative team with a focus on innovation and client success.
The predicted salary is between 48000 - 72000 £ per year.
A data science consultancy is seeking a Lead Software Engineer to oversee multiple client projects, ensuring high-quality, scalable solutions. The role includes leading software design and development, managing delivery teams, and maintaining strong client relationships.
Ideal candidates will have experience in:
- Python and SQL code reviews
- Advanced Docker skills
- Implementing CI/CD pipelines
This is a significant position for contributing to innovative data engineering projects.
Lead Software Engineer — AI & Data Platforms employer: Applied Data Science Partners
Contact Detail:
Applied Data Science Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer — AI & Data Platforms
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on a Lead Software Engineer role or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects, especially those involving Python, SQL, and Docker. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining your past projects and how you've led teams, as well as your approach to client relationships. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and aspirations. Plus, it shows you're serious about joining our team and contributing to innovative data engineering projects.
We think you need these skills to ace Lead Software Engineer — AI & Data Platforms
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Docker. We want to see how your skills align with the role of Lead Software Engineer, so don’t be shy about showcasing relevant projects you've worked on!
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 your leadership experience can benefit our team. We love seeing genuine enthusiasm for the role!
Showcase Your Projects: If you’ve led any significant projects or implemented CI/CD pipelines, make sure to mention them. We’re looking for someone who can manage delivery teams effectively, so share examples that demonstrate your leadership skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Applied Data Science Partners
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with code reviews and how you've used these languages in past projects. It’s a great way to show your technical expertise and problem-solving abilities.
✨Showcase Your Leadership Skills
As a Lead Software Engineer, you'll be managing delivery teams. Prepare examples of how you've led teams in the past, tackled challenges, and ensured project success. Highlight your ability to maintain strong client relationships, as this is key for the role.
✨Demonstrate Your Docker Knowledge
Since advanced Docker skills are a must, be ready to discuss your experience with containerisation. You might even want to prepare a few scenarios where you've implemented Docker in your projects, showcasing how it improved efficiency or scalability.
✨CI/CD Pipeline Insights
Familiarise yourself with Continuous Integration and Continuous Deployment processes. Be prepared to explain how you've implemented CI/CD pipelines in previous roles and the impact it had on project delivery. This will show that you understand modern software development practices.
