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- Tasks: Lead data engineering projects and build data pipelines for diverse clients.
- Company: Join a certified B Corporation™ known for its strong client relationships and high Glassdoor ratings.
- Benefits: Enjoy hybrid working, a supportive learning culture, and engaging client interactions.
- Why this job: Work across multiple sectors while making a social impact in a collaborative environment.
- Qualifications: Strong experience in Data Engineering, Python, Azure, and consultancy roles required.
- Other info: Flexible on-site days based on client needs; immediate consideration for applicants.
The predicted salary is between 72000 - 84000 £ per year.
Lead Data Engineer – Hybrid Working (Across offcie + Client Offices) – London – £100,000
As world leading consultancy client relationships are everything here. So you should love client interaction and add value outside of the technical requirements. A human, consultative & engaging approach to work is a must!
Even better, your role is diverse. You wont be stuck on one client, but gain the benefit of working across multiple client in Government, Finance and Retail.
Their glass door rating and internal reviews remains high despite their size and they really integrate you with clients well. This is alongside championing a solid learning & Development culture at all levels.
You will need experience of:
🔸Data Engineering
🔸Python (Strong)
🔸Azure
🔸Pandas / Pyspark
🔸DataBricks
🔸 Working in a consultancy
As a Lead, your role includes being hands on, getting stuck into the technical details and building the data pipelines. That said, you\’ll know consultancy and have lead on delivery projects for clients too (NOTE: \’Lead\’ is project lead, not people management)
All roles are London based with a Hybrid working model. You\’ll average 2-3 days a week on site (Office and client site) but it fluctuates client to client so you\’ll have to be prepared to work how the client wants. My team and I are very keen to engage in conversation ASAP for these so please apply for immediate consideration.
SR2 | Socially Responsible Recruitment | Certified B Corporation™ | Lead Data Engineer employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SR2 | Socially Responsible Recruitment | Certified B Corporation™ | Lead Data Engineer
✨Tip Number 1
Make sure to showcase your client interaction skills during the interview. Since this role emphasizes a human, consultative approach, be prepared to discuss how you've successfully engaged with clients in past projects.
✨Tip Number 2
Familiarize yourself with the specific industries mentioned in the job description, such as Government, Finance, and Retail. Having insights or examples from these sectors can help you stand out as a candidate who understands the unique challenges and opportunities within them.
✨Tip Number 3
Highlight your experience with the required technologies like Python, Azure, and DataBricks. Be ready to discuss specific projects where you utilized these tools to solve complex data engineering problems.
✨Tip Number 4
Since the role involves hybrid working, demonstrate your flexibility and adaptability. Share examples of how you've successfully managed remote work while maintaining strong communication and collaboration with clients and team members.
We think you need these skills to ace SR2 | Socially Responsible Recruitment | Certified B Corporation™ | Lead Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities of a Lead Data Engineer. Highlight your experience in data engineering, Python, Azure, and consultancy work in your application.
Showcase Client Interaction Skills: Since client relationships are crucial, emphasize your experience in client-facing roles. Provide examples of how you've added value beyond technical requirements in previous positions.
Highlight Technical Expertise: Detail your proficiency with tools like Pandas, Pyspark, and DataBricks. Include specific projects where you utilized these technologies to demonstrate your hands-on experience.
Express Your Learning Mindset: Mention your commitment to continuous learning and development. Share any relevant courses or certifications that align with the company's culture of growth and development.
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Show Your Client Interaction Skills
Since this role emphasizes client relationships, be prepared to discuss your previous experiences in client-facing situations. Highlight how you added value beyond technical requirements and how you engaged with clients to understand their needs.
✨Demonstrate Technical Expertise
Make sure to showcase your strong skills in Python, Azure, and data engineering tools like Pandas and Pyspark. Be ready to discuss specific projects where you built data pipelines and the impact of your work on the client's success.
✨Emphasize Your Consultancy Experience
Talk about your experience working in a consultancy environment. Share examples of how you led delivery projects and collaborated with different teams to achieve project goals, as this will resonate well with the interviewers.
✨Be Adaptable and Open to Hybrid Work
Since the role involves hybrid working across various client sites, express your flexibility and willingness to adapt to different working environments. Discuss how you manage your time effectively between office and client locations.
