Lead Data Engineer

Lead Data Engineer

Seaford Temporary 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team of 6 Data Engineers on innovative greenfield projects.
  • Company: Join a pioneering body dedicated to enhancing the UK's railways through safety and sustainability.
  • Benefits: Enjoy a 2-year fixed term contract with opportunities for professional growth.
  • Why this job: Be at the forefront of machine learning applications that make a real impact on rail safety.
  • Qualifications: Proven experience in data engineering and leadership skills are essential.
  • Other info: This role offers a chance to work on cutting-edge technology in a collaborative environment.

The predicted salary is between 48000 - 72000 £ 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. If your skills, experience, and qualifications match those in this job overview, do not delay your application. 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 too… JBLK1_UKTJ

Lead Data Engineer employer: Salt

As a Lead Data Engineer with us, you'll be part of a pioneering team dedicated to enhancing the UK's railways through innovative machine learning solutions. We pride ourselves on fostering a collaborative work culture that values creativity and professional growth, offering ample opportunities for skill development and career advancement. Located in a vibrant area, our company not only provides competitive benefits but also a unique chance to contribute to meaningful projects that prioritize safety, efficiency, and sustainability.
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Contact Detail:

Salt Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Engineer

✨Tip Number 1

Make sure to showcase your experience with machine learning and data engineering in your conversations. Highlight specific projects where you've led teams or worked on greenfield initiatives, as this will resonate well with the hiring team.

✨Tip Number 2

Familiarize yourself with the latest trends in railway safety and efficiency technologies. Being able to discuss how your skills can directly contribute to improving these areas will set you apart from other candidates.

✨Tip Number 3

Prepare to demonstrate your leadership skills during the interview. Think of examples where you've successfully managed a team, resolved conflicts, or guided projects to completion, especially in a technical context.

✨Tip Number 4

Network with professionals in the railway and data engineering sectors. Engaging with industry experts can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.

We think you need these skills to ace Lead Data Engineer

Expertise in Data Engineering
Proficiency in SQL and NoSQL databases
Experience with ETL processes
Strong knowledge of machine learning concepts
Familiarity with cloud platforms (AWS, Azure, GCP)
Leadership and team management skills
Ability to design and implement data pipelines
Proficient in programming languages (Python, Java, Scala)
Understanding of data modeling and architecture
Experience with big data technologies (Hadoop, Spark)
Strong problem-solving skills
Excellent communication and collaboration abilities
Adaptability to new technologies and methodologies
Knowledge of data governance and security best practices

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with machine learning and leading teams. Use specific examples that demonstrate your technical leadership and project management skills.

Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for improving safety and efficiency in the railways. Mention how your background aligns with the company's mission and the role's responsibilities.

Showcase Technical Skills: In your application, emphasize your proficiency in relevant technologies and tools used in data engineering. Be specific about your experience with greenfield projects and any machine learning applications you've worked on.

Highlight Leadership Experience: Since this role involves leading a team, make sure to include examples of your leadership experience. Discuss how you have successfully managed teams, mentored junior engineers, or led projects to completion.

How to prepare for a job interview at Salt

✨Showcase Your Technical Leadership Skills

As a Lead Data Engineer, you'll be expected to guide a team. Be prepared to discuss your previous experiences in leading teams, managing projects, and how you foster collaboration among team members.

✨Demonstrate Your Knowledge of Machine Learning

Since the company focuses on machine learning for safety and efficiency, make sure to highlight your experience with relevant technologies and frameworks. Be ready to discuss specific projects where you've applied machine learning techniques.

✨Prepare for Greenfield Project Discussions

The role involves working on greenfield projects, so think about your approach to starting new projects from scratch. Be ready to share your strategies for gathering requirements, designing architecture, and ensuring scalability.

✨Understand the Industry Context

Familiarize yourself with the UK's railway industry and the challenges it faces. Showing that you understand the context in which the company operates will demonstrate your genuine interest in the role and its impact.

Lead Data Engineer
Salt
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  • Lead Data Engineer

    Seaford
    Temporary
    48000 - 72000 £ / year (est.)

    Application deadline: 2027-01-03

  • S

    Salt

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