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- Tasks: Lead a team of 6 Data Engineers on exciting greenfield projects.
- Company: Join a leading safety and research body improving the UK's railways with innovative tech.
- Benefits: Enjoy a competitive salary, 13% bonus, 30 days holiday, and a 12% pension.
- Why this job: Be part of impactful projects that enhance safety and sustainability in railways.
- Qualifications: BSc in a scientific or computer science discipline; experience with APIs and data infrastructures required.
- Other info: Hybrid work model with only 1 day in the office every 2 weeks.
The predicted salary is between 44400 - 103600 £ per year.
We have partnered with an independent safety, standards and research body that focuses on improving the UK’s railways. Using machine learning they provide products and tools to improve safety, efficiency and sustainability. They’re looking for a Lead Data Engineer to join on a 2 year fixed term contract, to technically lead a team of 6 Data Engineers on greenfield projects. You will be building tools, pipelines and transforming data in products that will support in key decision making processes. Key Skills & Requirements: BSc in a scientific or computer science discipline Experience designing and developing API’s, Pipelines and data infrastructures Sprint planning End to end project and software development lifecycle Tech Stack: Python/Spark | SQL | Airflow | Kubernetes| Fast API/ Flask Digital Ecosystem : Azure Salary : up to £74k, 13% Bonus, 30 days Holiday, 12% Pension Location : London – Hybrid, 1 day every 2 weeks in the office. If this sounds like something, you would be interested in please reach out to me on my email at . *Rates depend on experience and client requirements TPBN1_UKTJ
Lead Data Engineer employer: Salt
Contact Detail:
Salt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarize yourself with the specific tech stack mentioned in the job description, especially Python/Spark and SQL. Having hands-on experience with these technologies will not only boost your confidence but also demonstrate your capability to lead a team effectively.
✨Tip Number 2
Showcase your experience in sprint planning and managing the end-to-end project lifecycle. Be prepared to discuss how you've successfully led projects in the past, as this will be crucial for the Lead Data Engineer role.
✨Tip Number 3
Highlight any previous experience you have with greenfield projects. This will show that you are comfortable working on new initiatives and can build data infrastructures from the ground up.
✨Tip Number 4
Since the role is hybrid, emphasize your ability to work both independently and collaboratively. Mention any experience you have with remote teamwork, as well as your willingness to engage with the team in the office when needed.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Lead Data Engineer position. Understand the key responsibilities and required skills, especially around API design, data pipelines, and the tech stack mentioned.
Tailor Your CV: Customize your CV to highlight relevant experience in Python, SQL, and data engineering. Include specific projects where you have led teams or worked on greenfield projects to demonstrate your leadership capabilities.
Craft a Compelling Cover Letter: Write a cover letter that connects your background with the company's mission of improving the UK's railways. Mention your experience with machine learning and how it can contribute to safety and efficiency in their projects.
Highlight Team Leadership Experience: In your application, emphasize any previous experience you have in leading teams, particularly in a technical environment. Discuss your approach to sprint planning and managing the software development lifecycle.
How to prepare for a job interview at Salt
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with the tech stack mentioned in the job description, especially Python, Spark, and SQL. Highlight specific projects where you've designed APIs or built data pipelines, as this will demonstrate your hands-on skills.
✨Demonstrate Leadership Skills
As a Lead Data Engineer, you'll be expected to guide a team. Share examples of how you've led teams in the past, managed sprint planning, or contributed to the end-to-end project lifecycle. This will show that you're not just technically proficient but also capable of leading others.
✨Understand the Business Context
Research the independent safety and standards body and understand their mission to improve the UK's railways. Be ready to discuss how your work can contribute to their goals of safety, efficiency, and sustainability, which will show your alignment with their values.
✨Prepare Questions for Them
Interviews are a two-way street. Prepare insightful questions about their current projects, team dynamics, and future goals. This not only shows your interest in the role but also helps you assess if the company is the right fit for you.
