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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 focused on data-centric software solutions.
- Benefits: Salary up to £85k, unlimited holiday, flexible working, and private medical insurance.
- Why this job: Join a dynamic team and make an impact in data engineering with innovative technologies.
- Qualifications: Experience with SQL, Snowflake, Python, and cloud data platforms.
- Other info: Work from home most of the time with great career growth opportunities.
The predicted salary is between 48000 - 68000 £ 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 Engineering Lead 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 Data Engineering Lead 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'll 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'll 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, with Snowflake experience
- You have advanced SQL knowledge and experience
- You have Python coding skills
- You have experience of working in Agile development environments, with a good understanding of DevOps practices, CI/CD, Automation
- 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
Apply now to find out more about this opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Data Engineering Lead SQL Snowflake in Slough employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead SQL Snowflake in Slough
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in a data 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 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 data engineering questions and scenarios. Practice explaining your thought process when solving problems, as this shows your analytical skills and leadership potential.
✨Apply Through Us!
We’ve got your back! Apply through our website for the best chance at landing that Data Engineering Lead role. We’re all about helping you find the right fit and making the application process as smooth as possible.
We think you need these skills to ace Data Engineering Lead SQL Snowflake in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Snowflake, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 your leadership skills can benefit our team. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: In your application, mention specific examples of data pipelines you've built or complex problems you've solved. We’re looking for hands-on experience, so let us know how you’ve implemented modern data engineering practices.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Snowflake skills before the interview. Be ready to discuss specific projects where you've built data pipelines or worked with complex data structures. This will show that you not only understand the technology but can also apply it effectively.
✨Showcase Your Leadership Skills
As a Data Engineering Lead, you'll need to demonstrate your leadership abilities. Prepare examples of how you've coached or mentored team members in the past. Highlight any experiences where you've successfully managed stakeholders or led a project to completion.
✨Understand the Business Context
Familiarise yourself with the company’s products and how they use data to drive decisions. Being able to discuss how your role can contribute to their goals will set you apart. Think about ways you can help monetise their database and improve existing processes.
✨Prepare for Agile and DevOps Questions
Since the role involves working in Agile environments, be prepared to discuss your experience with CI/CD and automation. Have examples ready that illustrate how you've implemented modern data engineering practices and how you adapt to changing requirements.
