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- Tasks: Lead data engineering projects and mentor junior developers in a collaborative environment.
- Company: Join Schroders, a forward-thinking company committed to innovation and teamwork.
- Benefits: Competitive salary, inclusive culture, and opportunities for continuous learning and development.
- Why this job: Make a real impact by shaping data engineering practices and driving innovation.
- Qualifications: Experience with cloud technologies, Python, SQL, and agile methodologies.
- Other info: Embrace a friendly and supportive workplace that values diversity and growth.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Engineering Lead – Data Engineering role at Schroders.
Who we’re looking for
The Engineering Lead is a highly proficient, versatile, and active engineer with excellent communication skills. The Engineering Lead works across one or more delivery teams to deliver high‑quality data quickly and reliably, and strives to create a collaborative engineering culture.
Responsibilities
The role requires a high level of competence and up‑to‑date knowledge on design and best practice in data engineering.
- Continuously improve data design, implementation, and delivery, embedding sustainable engineering practices, guiding and mentoring developers, and setting technical objectives.
- Collaborate with Enterprise Engineering and Enterprise Software Engineering to shape development culture, contributing to standards, patterns, practices, reference architectures, shared components, and other improvements.
Qualifications
- Experience of cloud technologies, ideally in Azure and AWS.
- Excellent Python skills within data engineering in a commercial setting.
- Excellent SQL / Snow SQL knowledge and understanding of optimisation.
- Practical understanding of profiling SQL and managing performance trade‑offs.
- Good working knowledge of agile methodology and ability to follow and contribute to ceremonies.
- Experience of implementing a data quality framework.
- Highly knowledgeable in building robust data pipelines and data modelling (star schemas, projections).
- Strong background in cloud‑based data platform technologies such as Snowflake, AWS, and Azure.
- AI coding experience, especially in data or automation, is a plus.
What You’ll Be Like
- Friendly, approachable, collaborative, and a mentor to junior colleagues.
- Continuous improvement mindset, always thinking about the status quo.
- Self‑motivated, showing initiative and keen to improve engineering processes.
- A continuous learner, willing to spend time developing technical skills.
- Problem solver, comfortable analysing and resolving complex requirements.
- Down‑to‑earth, honest, and straightforward, able to stand ground and communicate ideas respectfully.
Equal Opportunity Statement
We are an equal opportunities employer. You are welcome here regardless of age, disability, gender identity, religious beliefs, sexual orientation, socio‑economic background, or any other protected characteristics.
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Engineering Lead - Data Engineering employer: Schroders
Contact Detail:
Schroders Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Lead - Data Engineering
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Schroders on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since they’re looking for someone with strong Python and SQL knowledge, make sure you can showcase your expertise in these areas during the conversation.
✨Tip Number 3
Show off your collaborative spirit! During interviews, share examples of how you've worked with teams to improve processes or mentor others. They want someone who can foster a positive engineering culture.
✨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 serious about joining the team at Schroders.
We think you need these skills to ace Engineering Lead - Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Engineering Lead role. Highlight your cloud tech experience, Python skills, and any data engineering projects you've led. We want to see how you fit into our collaborative culture!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your continuous improvement mindset aligns with our values. Keep it friendly and straightforward, just like we are at StudySmarter.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building robust data pipelines or implementing a data quality framework, we love seeing real-world examples of your work. It helps us understand your hands-on experience.
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 the role. Plus, it shows us you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Schroders
✨Know Your Tech Inside Out
Make sure you brush up on your cloud technologies, especially Azure and AWS. Be ready to discuss your experience with Python and SQL in detail, as well as any data quality frameworks you've implemented. The more specific examples you can provide, the better!
✨Show Off Your Collaboration Skills
Since the role emphasises a collaborative engineering culture, think of examples where you've worked effectively in a team. Be prepared to talk about how you've mentored others or contributed to improving team processes. This will show that you're not just a tech whiz but also a great team player.
✨Embrace Continuous Improvement
Demonstrate your continuous learning mindset by discussing any recent courses, certifications, or projects you've undertaken. Share how you've applied new knowledge to improve engineering practices or solve complex problems. This aligns perfectly with what they're looking for!
✨Be Down-to-Earth and Honest
During the interview, keep your communication straightforward and respectful. Practice articulating your ideas clearly and be open about your experiences, including challenges you've faced. This will help you connect with the interviewers and show them your genuine personality.
