Lead Data Engineer

At a Glance

  • Tasks: Lead the design of scalable data solutions and mentor a dynamic team.
  • Company: Join an enterprise client transforming their CRM with innovative data practices.
  • Benefits: Competitive day rate, flexible work environment, and potential for contract extension.
  • Other info: Collaborative atmosphere with opportunities for professional growth.
  • Why this job: Make a real impact on a major transformation project while shaping data architecture.
  • Qualifications: Strong experience with Snowflake, AWS, and Python; leadership skills are a plus.

Location: London (2 days per week on-site)

Contract Type: 6-month contract (likely to extend)

IR35 Status: Inside IR35

Start Date: Immediate

Day Rate: £600 - £700 per day

About the Role

SR2 are partnering with an enterprise client undergoing a large-scale CRM transformation and are seeking an experienced Lead Data Engineer to join the programme. This is a key position where you will play a central role in shaping the data architecture and introducing modern data engineering practices and tooling across the team. You’ll have the opportunity to influence technical direction, mentor team members, and drive best practices in a high-impact project environment.

Key Responsibilities

  • Lead the design and implementation of scalable data solutions for CRM transformation
  • Introduce and champion modern data engineering tools and best practices
  • Collaborate with cross-functional teams including data, analytics, and engineering
  • Provide technical leadership and guidance to the wider data team
  • Ensure efficient data modelling, transformation, and pipeline development

Essential Skills & Experience

  • Strong experience with Snowflake
  • Hands-on experience with AWS
  • Proven capability with DBT (data build tool)
  • Solid programming skills in Python
  • Experience leading or mentoring data engineering teams
  • Exposure to large-scale or enterprise data transformation projects

If you're a Lead Data Engineer looking to make an impact on a major transformation programme, we’d love to hear from you.

Lead Data Engineer employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™

Join a forward-thinking enterprise client in London, where as a Lead Data Engineer, you will be at the forefront of a significant CRM transformation. Enjoy a collaborative work culture that values innovation and mentorship, with opportunities for professional growth and development in a dynamic environment. With flexible on-site requirements and competitive day rates, this role offers a unique chance to make a meaningful impact while working alongside talented professionals.
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Contact Detail:

SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Engineer

Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead on a role that’s perfect for you.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Snowflake, AWS, and DBT. 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. Be ready to discuss your experience leading teams and implementing data solutions, as well as how you can contribute to their CRM transformation.

Tip Number 4

Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace Lead Data Engineer

Data Architecture
Data Engineering Practices
CRM Transformation
Snowflake
AWS
DBT (Data Build Tool)
Python Programming
Team Leadership
Mentoring
Data Modelling
Data Transformation
Pipeline Development
Collaboration
Best Practices

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Snowflake, AWS, and DBT, as well as any leadership roles you've had. We want to see how your skills align with our needs!

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 CRM transformation project. Keep it concise but impactful.

Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include examples of scalable data solutions you've designed or modern tools you've implemented. We love seeing real-world applications of your skills.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity. Don’t miss out!

How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™

Know Your Tech Inside Out

Make sure you’re well-versed in Snowflake, AWS, and DBT. Brush up on your Python skills too! Be ready to discuss how you've used these technologies in past projects, especially in large-scale transformations.

Showcase Your Leadership Skills

Since this role involves mentoring and providing technical guidance, prepare examples of how you've led teams or influenced technical direction in previous roles. Highlight any successful projects where your leadership made a difference.

Understand the Business Context

Familiarise yourself with CRM transformation projects and how data engineering plays a role in them. Being able to connect your technical expertise to business outcomes will impress the interviewers.

Prepare for Collaboration Questions

Expect questions about working with cross-functional teams. Think of specific instances where you collaborated with data, analytics, or engineering teams, and be ready to discuss how you navigated challenges and drove best practices.

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