At a Glance
- Tasks: Own the development of robust data pipelines and ensure reliable data infrastructure.
- Company: Leading tech consultancies and data-driven organisations with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to mentor and lead technical initiatives.
- Why this job: Shape architecture and drive technical excellence in high-impact projects.
- Qualifications: 5+ years in data engineering, proficiency in Python and SQL, and cloud platform experience.
The predicted salary is between 60000 - 80000 £ per year.
We are currently partnering with several leading technology consultancies and fast-growing data-driven organisations who are looking to strengthen their engineering capabilities. These roles offer the chance to work on high-impact, scalable data platforms that sit at the heart of complex business operations, providing you with the autonomy to shape architecture and drive technical excellence.
As a Senior Data Engineer, you will take ownership of the end-to-end development of robust, performant, and cost-effective data pipelines, ensuring the reliability of critical data infrastructure. You will collaborate closely with cross-functional teams, including data scientists and product managers, to translate complex business needs into high-quality data models and analytical solutions. Beyond hands-on development, you will act as a technical leader, establishing engineering standards, implementing observability frameworks, and mentoring team members to drive continuous improvement.
What We're Looking For
- 5+ years of professional experience in data engineering or a related field.
- Proficiency in Python and advanced SQL for production data environments.
- Extensive experience designing and managing ETL/ELT pipelines and data warehouses.
- Strong understanding of cloud platforms (AWS, Azure, or GCP) and managed data services.
- Experience with data modelling, schema design, and data governance principles.
- Proven ability to implement CI/CD pipelines and infrastructure-as-code.
- Experience with data quality, observability, and automated testing frameworks.
- Strong communication skills and experience collaborating with cross-functional stakeholders.
- Demonstrated ability to mentor team members and lead technical initiatives.
If you are an experienced Data Engineer looking for your next challenge, we would love to hear from you. As we recruit for multiple clients across various sectors, we have several similar opportunities available and can help you find the right environment for your career progression. Please submit your CV today to start a confidential conversation about these roles.
Senior Data Engineer in London employer: Myn
Join a dynamic and innovative team where your expertise as a Senior Data Engineer will be valued and nurtured. Our company fosters a collaborative work culture that prioritises employee growth, offering mentorship opportunities and the chance to lead technical initiatives on impactful data projects. Located in a vibrant tech hub, we provide a stimulating environment that encourages creativity and professional development, making us an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer 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 senior data engineering role. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your data engineering skills, especially those involving Python, SQL, and cloud platforms. This will give potential employers a tangible sense of what you can bring to the table.
✨Tailor Your Approach
When reaching out to companies, make sure to tailor your message to each one. Highlight how your experience aligns with their needs, especially in areas like ETL/ELT pipelines and data governance. Personal touches can make a big difference!
✨Apply Through Our Website
We’ve got your back! Check out our website for the latest job openings in data engineering. Applying through us not only gives you access to multiple opportunities but also allows us to help you find the perfect fit for your career goals.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your proficiency in Python, SQL, and any cloud platforms you've worked with. We want to see how you can bring value to our team!
Showcase Your Projects:Include specific examples of data pipelines or projects you've worked on. Describe your role in these projects and the impact they had. This helps us understand your hands-on experience and technical leadership capabilities.
Keep It Clear and Concise:When writing your application, be clear and to the point. Use bullet points for easy reading and avoid jargon unless it's relevant. We appreciate straightforward communication that gets to the heart of your qualifications.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application is seen by the right people and helps us streamline the process. Plus, it’s super easy to do!
How to prepare for a job interview at Myn
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with ETL/ELT pipelines and cloud platforms like AWS, Azure, or GCP. They’ll likely ask you to solve a problem on the spot, so practice coding challenges related to data engineering.
✨Showcase Your Leadership Skills
As a Senior Data Engineer, you’ll be expected to lead and mentor others. Prepare examples of how you've established engineering standards or improved processes in previous roles. Highlight any experience you have with CI/CD pipelines and infrastructure-as-code to demonstrate your technical leadership.
✨Communicate Clearly and Effectively
Strong communication is key when collaborating with cross-functional teams. Practice explaining complex technical concepts in simple terms. Be ready to discuss how you’ve worked with data scientists and product managers to translate business needs into data solutions.
✨Prepare Questions for Them
Interviews are a two-way street! Think of insightful questions to ask about their data architecture, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
