At a Glance
- Tasks: Shape the future of data and develop innovative solutions for clients.
- Company: Join Engine by Starling, a forward-thinking tech company.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic work environment with mentorship opportunities and cloud-based projects.
- Why this job: Make a real impact in data engineering and collaborate with diverse teams.
- Qualifications: Experience in data engineering and a passion for problem-solving.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
As a Data Engineer you'll be at the heart of our reporting tooling, adding new data features and improving how we expose new entities to our clients and operations teams. You'll also help build tooling so we can get better visibility into data lineage, data quality, and the accuracy of our documentation. Additionally, you'll assist platform engineers to improve modeling of new features in a way that helps clients use the data later.
What you’ll get to do:
- Shape the future of data for Engine, including approaches, tooling and architecture.
- Develop data as a core product offering for Engine both internally and for our clients, working with and responding to client feedback and market analysis.
- Work across the boundary of software engineering and core data platform challenges.
- Understand, build and develop data integration and warehousing solutions.
- Deliver exceptional data solutions promoting a self‑service culture through trusted pipelines, quality checks, clear documentation, lineage, entity relationships and governance.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc.
- Coach and mentor software engineers in the ways of data engineering across the organisation.
- Obtain a wide and varied understanding of how our internal teams and client banks operate.
- Work with cloud-based infrastructure (AWS, GCP) for hosting data solutions and applications.
- Collaborate with clients, solution architects and other engineers to help meet the client goals.
Data Engineer - Engine by Starling employer: Onyx-Conseil
At Engine by Starling, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to shape the future of data. As a Data Engineer, you'll enjoy opportunities for professional growth while collaborating with talented teams in a supportive environment that values client feedback and market insights. Our commitment to excellence is matched by our focus on employee well-being, offering competitive benefits and a chance to work with cutting-edge cloud technologies in a vibrant location.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Engine by Starling
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 data projects, whether it's through GitHub or a personal website. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Practice common interview questions and be ready to discuss how you've tackled real-world data challenges.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates. Tailor your application to highlight how your experience aligns with our mission at Engine.
We think you need these skills to ace Data Engineer - Engine by Starling
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight any relevant projects or tools you've worked with, especially those related to data integration and warehousing.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to shaping the future of data for Engine. Be specific about your experiences and how they relate to our goals.
Showcase Your Technical Skills:Don’t forget to mention your experience with cloud-based infrastructure like AWS or GCP. We want to see your technical prowess, so include any relevant certifications or projects that demonstrate your capabilities.
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 on joining our team!
How to prepare for a job interview at Onyx-Conseil
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Understand key concepts like data integration, warehousing solutions, and data lineage. Being able to discuss these topics confidently will show that you're ready to dive into the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data challenges in the past. Whether it’s automating processes or optimising data delivery, having specific instances ready will demonstrate your ability to think critically and improve internal processes.
✨Familiarise Yourself with Cloud Technologies
Since the role involves working with cloud-based infrastructure like AWS and GCP, make sure you have a good grasp of these platforms. Be ready to discuss any relevant experience you have and how you can leverage these tools for data solutions.
✨Emphasise Collaboration and Communication
This role requires working closely with clients and other engineers, so highlight your teamwork skills. Prepare to talk about how you've collaborated in the past and how you can coach others in data engineering practices.
