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For Companies At a Glance
- Tasks: Lead data engineering projects, build complex data pipelines, and mentor team members.
- Company: Global tech company providing innovative data solutions to major organisations.
- Benefits: Earn up to £85k, enjoy unlimited holiday, flexible working, and private medical insurance.
- Why this job: Join a dynamic team and make a real impact in data analytics.
- Qualifications: Experience in SQL, Python, and cloud platforms; strong leadership and communication skills.
- Other info: Work from home most of the time with excellent career growth opportunities.
The predicted salary is between 43200 - 60000 £ per year.
Are you a skilled data technologist with strong leadership and stakeholder management skills? You could be progressing your career in a senior, hands-on Data Engineer position at a global tech company that provides data centric software solutions to major blue-chip and government organisations to enable them to discover and analyse data and customer feedback.
What's in it for you:
- Salary to £85k
- Bonus
- Unlimited holiday allowance
- Flexible working (x1 day a week in London)
- Private medical insurance as well as well-being benefits
- Pension and Life Assurance
- Committees for wellness, charity and volunteering, DE&I Team and company socials
Your role:
As a Lead Data Engineer you will plan and lead data engineering activities across multiple programmes of work to deliver secure, robust and scalable data engineering solutions for complex data analytics products. You will implement modern data engineering practices, build complex data pipelines and provide guidance to other team members to ensure optimal code performance is achieved, championing best practices. Beyond this, you will seek to monetise the database, collaborating closely with business leaders.
Location / WFH:
You can work from home most of the time, meeting up with colleagues in the London office twice a week.
About you:
- You have experience of building data pipelines on cloud platforms, working with a wide variety of data structures such as Data Warehouses and Data Lakes.
- You have advanced SQL knowledge and experience.
- You have commercial acumen and can spot opportunities to innovate and improve, keeping up to date with the latest trends.
- You have technical leadership, coaching and mentoring skills with advanced communication and stakeholder management skills.
- You have Python coding skills.
- You have Snowflake experience.
- You have experience of working in Agile development environments, with a good understanding of DevOps practices, CI/CD, Automation.
- Experience with Azure is desirable but not essential.
Lead Data Engineer SQL Python in London employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer SQL Python in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in a Lead Data Engineer role. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data pipelines, SQL queries, or any projects you've worked on. This gives potential employers a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for those interviews by brushing up on common technical questions related to SQL, Python, and data engineering practices. Also, be ready to discuss how you’ve led teams and managed stakeholders – they’ll want to see your leadership skills in action!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Engineer SQL Python in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your SQL, Python, and data engineering expertise, and don’t forget to showcase any leadership roles you've had!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're the perfect fit for the Lead Data Engineer role. Mention specific projects or achievements that demonstrate your ability to lead and innovate in data engineering.
Showcase Your Technical Skills: We want to see your technical prowess! Include examples of data pipelines you've built, your experience with Snowflake, and any Agile methodologies you've used. This will help us understand your hands-on capabilities.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, we love seeing candidates who take the initiative to connect with us directly.
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've built data pipelines or worked with Snowflake. The more you can demonstrate your technical expertise, the better!
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to show that you can guide and mentor others. Prepare examples of how you've led teams or improved processes in previous roles. Highlight your communication skills and how you've managed stakeholder relationships.
✨Understand the Business Impact
Be prepared to discuss how your work as a Data Engineer can drive business value. Think about ways you've identified opportunities for innovation or improvement in past roles. This will show that you have the commercial acumen they're looking for.
✨Familiarise Yourself with Agile and DevOps
Since the role involves working in Agile environments, make sure you understand Agile principles and DevOps practices. Be ready to talk about your experience with CI/CD and automation, and how these practices have benefited your previous projects.
