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- Tasks: Lead the delivery of Snowflake-based data solutions and mentor a team of engineers.
- Company: Join Schroders, a global investment manager with a commitment to innovation.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact in data engineering while shaping a collaborative culture.
- Qualifications: Strong Snowflake experience, SQL skills, and a passion for mentoring.
- Other info: Be part of a dynamic team in the heart of London’s financial centre.
The predicted salary is between 43200 - 72000 £ per year.
The Engineering Lead is a highly proficient, versatile and hands-on engineer with excellent communication skills. The Engineering Lead works across one or more engineering delivery teams to deliver high-quality data, quickly and reliably, with Snowflake as the core enterprise data platform.
The role requires a high level of competence and up-to-date knowledge of modern data engineering practices, cloud-native data platforms, and Snowflake design patterns. The Engineering Lead will also strive to create a collaborative engineering culture.
Within their area, the Engineering Lead will focus on the continued improvement of data design, implementation, and delivery. This will be achieved by ensuring that sustainable engineering practices are prioritised and embedded in the way teams work. As an expert in their data development field, the Engineering Lead will guide and mentor developers (including 3rd party partners), setting technical objectives and reviewing subsequent performance.
The Engineering Lead’s responsibilities and objectives are broadly split into two areas:
- Snowflake-led data engineering excellence
- Own and evolve Snowflake architectural patterns, standards and best practices
- Ensure data ingestion, transformation and modelling approaches are optimised for Snowflake
- Drive performance, cost optimisation and scalability within Snowflake workloads
- Embed strong governance, security and data quality practices aligned to Snowflake capabilities
- Guide and mentor developers (including 3rd-party partners), setting technical objectives and reviewing subsequent performance
The Engineering Lead will work collaboratively with both Enterprise Engineering and Technology to help shape the development culture at Schroders, contributing to:
- Standards, patterns and reference architectures for Snowflake-based data solutions
- Shared components and reusable Snowflake assets
- Improvements in how we deliver data engineering and software to the business
The Engineering Lead will work collaboratively with both Enterprise Engineering and Enterprise Software Engineering to help shape the development culture at Schroders, contributing to standards, patterns, practices, reference architectures, shared components, and other things that will improve the way we deliver engineering and software to the business.
The Data Engineering team owns:
- Snowflake-based data engineering for acquisition and integration of enterprise data assets
- The foundational data layers that underpin analytics and downstream data services
Engineering Leads also form part of the broader Enterprise Engineering function within Enterprise Technology, helping Schroders deliver predictable, high-quality and supportable software and data platforms.
What you’ll do
- Technically lead the delivery of Snowflake-based data sources, pipelines and data products
- Partner closely with business subject-matter experts and technology counterparts to deliver Snowflake-centric data solutions
- Lead the creation of reusable Snowflake patterns, templates and standards
- Act as a people manager and mentor, supporting the growth of your engineers
- Contribute to analysis, solution design, implementation and testing of Snowflake data pipelines
- Work within backlog-focused squads, contributing across the full delivery lifecycle
- Operate comfortably within agile delivery methodologies (Scrum or Kanban)
The knowledge, experience and qualifications you need
- Strong, hands-on Snowflake experience in an enterprise environment
- Excellent SQL / Snowflake SQL knowledge, including Query optimisation and performance profiling. Understanding of different SQL engines and optimisation trade-offs
- Strong Python skills within data engineering
- Practical understanding of ELT patterns, idempotency and data engineering best practices
- Experience implementing data quality frameworks
- Demonstrable competency in data modelling.
- Experience with cloud platforms, ideally Azure and/or AWS
- Strong knowledge of GitHub and shared codebases
- Good working knowledge of agile delivery practices
The knowledge, experience and qualifications that will help
- Snowflake certifications
- Experience with Airflow, dbt, Docker and/or Kubernetes
- Experience implementing or supporting Data Mesh-style approaches
- AI / ML or automation experience leveraging Snowflake data
What you’ll be like
- Friendly, approachable and collaborative, with a mentoring mindset
- Comfortable acting as a Snowflake technical authority
- Self-motivated with a continuous improvement mindset
- A pragmatic problem solver, comfortable with ambiguity
- Down-to-earth, honest and able to communicate opposing ideas constructively
We recognise potential, whoever you are. Our purpose is to provide excellent investment performance to clients through active management. Diversity of thought facilitated by an inclusive culture will allow us to make better decisions and better achieve our purpose. This is why inclusion and diversity are a strategic priority for us and why we are an equal opportunities employer: you are welcome here regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socio-economic background or any other protected characteristics.
Engineering Lead - Snowflake -Data Engineering employer: Schroders
Contact Detail:
Schroders Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Lead - Snowflake -Data Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Snowflake projects and data engineering expertise. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Snowflake and data engineering practices. Practice explaining your thought process clearly, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Schroders.
We think you need these skills to ace Engineering Lead - Snowflake -Data Engineering
Some tips for your application 🫡
Show Off Your Snowflake Skills: Make sure to highlight your hands-on experience with Snowflake in your application. We want to see how you've used it in real-world scenarios, so don’t hold back on the details!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and fluff. Just tell us what you can bring to the table!
Tailor Your Application: Take a moment to tailor your application to the role. Mention specific responsibilities from the job description that resonate with your experience. This shows us you’ve done your homework and are genuinely interested.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better that way!
How to prepare for a job interview at Schroders
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be prepared to discuss architectural patterns, data ingestion methods, and performance optimisation techniques. Showing that you can talk confidently about Snowflake will demonstrate your expertise and commitment to the role.
✨Showcase Your Leadership Skills
As an Engineering Lead, you'll need to guide and mentor others. Prepare examples of how you've successfully led teams or projects in the past. Highlight your ability to foster a collaborative culture and how you've set technical objectives for your team.
✨Be Agile and Adaptable
Familiarise yourself with agile methodologies like Scrum or Kanban, as these are crucial for the role. Be ready to discuss how you've applied these practices in previous projects and how they helped improve delivery and collaboration within your teams.
✨Prepare for Technical Questions
Expect to face technical questions related to SQL, Python, and data engineering best practices. Brush up on your skills and be ready to solve problems on the spot. Practising common interview questions can help you feel more confident and articulate during the technical discussions.
