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 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 access to cutting-edge resources and a network of industry leaders, making it an ideal environment for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, models, and any projects you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to collaborate with cross-functional teams.
✨Tip Number 4
Don't forget to apply through our website! We have multiple opportunities available, and we can help match you with the right role that fits your skills and career goals.
We think you need these skills to ace Senior Data Engineer
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 designing ETL/ELT processes and how you’ve contributed to data governance. This helps us understand your hands-on experience and technical leadership.
Communicate Clearly:When writing your application, be clear and concise. Use straightforward language to explain complex concepts, as this reflects your ability to collaborate with cross-functional teams. We appreciate strong communication skills!
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right place quickly and allows us to connect with you about the exciting opportunities we have available. Don’t miss out!
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 how you’ve driven technical initiatives.
✨Communicate Clearly and Collaboratively
Since you'll be working closely with cross-functional teams, it’s crucial to demonstrate your communication skills. Be ready to explain complex technical concepts in simple terms. Think of examples where you successfully collaborated with data scientists or product managers to meet business needs.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data architecture, team dynamics, and how they approach data governance. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
