At a Glance
- Tasks: Shape the future of data by developing innovative data solutions and improving data visibility.
- Company: Join a forward-thinking company focused on data as a product.
- Benefits: Competitive salary, flexible working options, 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 while collaborating 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 - Build Data as a Product & Trusted Pipelines employer: Onyx-Conseil
As a Data Engineer at Engine, you'll be part of a dynamic team that values innovation and collaboration, working in a vibrant environment that fosters professional growth. With a strong emphasis on employee development, you will have the opportunity to shape data solutions that directly impact our clients while enjoying a culture that promotes self-service and quality. Located in a tech-forward area, we offer competitive benefits and a supportive atmosphere that encourages creativity and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Build Data as a Product & Trusted Pipelines
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in data roles. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those that highlight your ability to build data pipelines or improve data quality. This will make you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data engineering concepts. Practice coding challenges and be ready to discuss how you've tackled data integration and warehousing solutions in the past.
✨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.
We think you need these skills to ace Data Engineer - Build Data as a Product & Trusted Pipelines
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 your experience with data integration, warehousing solutions, and any relevant cloud technologies like AWS or GCP.
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 at StudySmarter. Be specific about your past experiences and how they relate to the job description.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing practical examples of how you've tackled data challenges and implemented solutions.
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 the StudySmarter team!
How to prepare for a job interview at Onyx-Conseil
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially around data integration and warehousing solutions. Be ready to discuss how you’ve tackled data lineage and quality checks in past projects, as this will show your understanding of the core responsibilities of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified and implemented process improvements in your previous roles. Highlight any experience with automating manual processes or optimising data delivery, as these are key aspects of the job.
✨Familiarise Yourself with Cloud Technologies
Since the role involves working with cloud-based infrastructure like AWS and GCP, make sure you can discuss your experience with these platforms. If you have specific projects where you utilised these technologies, be ready to share those details.
✨Emphasise Collaboration and Mentorship
This position requires working closely with other engineers and clients. Prepare to talk about your experience in coaching or mentoring others in data engineering practices, and how you’ve collaborated with cross-functional teams to achieve common goals.
