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- Tasks: Design and build data pipelines using SQL and Python for a cutting-edge Snowflake platform.
- Company: Global Asset Manager with a tech-driven approach and diverse team culture.
- Benefits: Salary up to £120k, private medical insurance, 25 days leave, and ongoing training.
- Why this job: Lead innovative projects and shape the future of data engineering in a supportive environment.
- Qualifications: Strong SQL and Python skills, experience with Snowflake, and excellent communication abilities.
- Other info: Hybrid work model with a focus on diversity and continuous learning.
The predicted salary is between 72000 - 84000 £ per year.
Do you have data expertise combined with technical leadership skills? You could be progressing your career in a hands-on leadership role at a tech-driven, global Asset Manager with multiple billions of dollars under management.
As a Senior Data Engineer you will design, build and maintain reliable data pipelines and integrations using Python and SQL and will take a lead role in the design and development of a Greenfield Snowflake based data platform for the Investment side of the business. You'll help make the technical and design choices and contribute to the longer-term data vision, collaborating with both technical and non-technical stakeholders. You'll also provide technical project leadership, coaching and mentoring to a small, talented team.
Location / WFH: There's a hybrid work from home policy with three days in the London office per week where you'll join a supportive, diverse team environment with a large range of facilities.
About you:
- You have strong data engineering experience, with advanced SQL skills
- You have experience of building or migrating to Snowflake data platform
- You have Python (and ideally C#) programming skills
- You have experience with data modelling, ETL pipelines and data integration
- You have a good knowledge of Dagster, Airflow or similar orchestration tool
- You're collaborative and pragmatic with great stakeholder communication skills
What's in it for you:
- Salary to £120k
- Pension
- Private medical insurance including 24 hour GP access
- Enhanced parental leave policy
- 25 days annual leave
- Ongoing training and development and financial support for courses
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.
Senior Data Engineer SQL Python Snowflake in London employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer SQL Python Snowflake in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with SQL, Python, or Snowflake. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and integrations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data modelling, ETL pipelines, and how you've collaborated with stakeholders in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior Data Engineer SQL Python Snowflake in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data engineering experience, especially with SQL 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 excited about this Senior Data Engineer position and how your background makes you a perfect fit. We love seeing genuine enthusiasm!
Showcase Your Technical Skills: Don’t forget to mention your experience with Snowflake and any orchestration tools like Dagster or Airflow. We’re looking for someone who can hit the ground running, so make those skills pop in your application!
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. Let’s get your journey started!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and Snowflake skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves technical project leadership, prepare examples of how you've led teams or mentored others in the past. Highlight your ability to communicate effectively with both technical and non-technical stakeholders.
✨Understand the Business Context
Familiarise yourself with the asset management industry and how data engineering plays a role in it. This will help you align your answers with the company's goals and demonstrate your interest in their business.
✨Prepare Questions for Them
Think of insightful questions to ask about their data platform, team dynamics, or future projects. This shows your enthusiasm for the role and helps you assess if the company is the right fit for you.
