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- Tasks: Join Triumph as a Solutions Data Engineer, focusing on data integration and analytics.
- Company: Triumph Motorcycles creates iconic bikes, blending tradition with innovative design and engineering.
- Benefits: Enjoy competitive benefits, enhanced holidays, and discounts on motorcycles and gear.
- Why this job: Be part of a passionate team, shaping the future of motorcycle data solutions.
- Qualifications: 4+ years of experience in data engineering and solution architecture required.
- Other info: Apply early; vacancies may close sooner due to high application volumes.
The predicted salary is between 36000 - 60000 £ per year.
Overview
At Triumph, we are driven to make the best motorcycles in the world. Building iconic motorcycles that celebrate our past whilst embracing the future – through bold design, original styling, purposeful engineering and a genuine passion for the ride. Triumph Motorcycles has developed a modern data management solution on Azure with a primary focus on Microsoft Azure Synapse and Fabric for data engineering, transformation, and analytics. The data engineering role is responsible for integration and data analytics services which align to the IT roadmap. The successful candidate will have at least 4 years’ experience and have the capability to architect solutions.
Responsibilities
- Ensure the existing design, development, and expansion of the Triumph cloud data platform.
- Develop ETL processes to integrate and transform data from multiple sources into a centralised data platform.
- Develop and optimise complex queries and data pipelines.
- Optimise and manage the data platform to ensure high availability, performance, and scalability.
- Implement and maintain data security best practices to protect sensitive information.
- Collaborate with cross-functional teams to gather and understand data requirements.
- Design and build interactive and insightful dashboards and reports for internal and external stakeholders.
Full details of the job description and person specification can be found in the downloadable job files. An iconic place to work; join us for the ride!
Benefits
Company Benefits: A variety of competitive benefits, including an enhanced holiday scheme, employee benefits platform and a favourable life assurance scheme. Motorcycle, clothing and accessories are available to purchase at a heavily discounted rate.
Disclaimer: due to the high volume of applications we receive, we reserve the right to close a vacancy earlier than the advertised date. This is to ensure our teams can manage application levels while maintaining a positive candidate experience. Once a vacancy has closed, we are unable to consider further applications, so please submit your application as soon as possible to avoid disappointment.
Visit our candidate centre to access your details.
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Solutions Data Engineer (MC583) employer: Triumph Motorcycles
Contact Detail:
Triumph Motorcycles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Data Engineer (MC583)
✨Tip Number 1
Familiarise yourself with Microsoft Azure Synapse and Fabric, as these are key technologies for the Solutions Data Engineer role. Consider taking online courses or certifications to deepen your understanding and demonstrate your commitment to mastering these tools.
✨Tip Number 2
Showcase your experience in developing ETL processes and optimising data pipelines. Prepare specific examples from your past work that highlight your ability to integrate and transform data effectively, as this will resonate well with the hiring team.
✨Tip Number 3
Network with current or former employees of Triumph Motorcycles on platforms like LinkedIn. Engaging with them can provide you with valuable insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 4
Prepare to discuss how you implement data security best practices in your previous roles. Given the importance of protecting sensitive information, being able to articulate your strategies and experiences in this area will set you apart from other candidates.
We think you need these skills to ace Solutions Data Engineer (MC583)
Some tips for your application 🫡
Understand the Role: Read through the job description carefully to understand the key responsibilities and required skills for the Solutions Data Engineer position. Tailor your application to highlight your relevant experience in data engineering, ETL processes, and Azure technologies.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 4+ years of experience in data engineering. Provide specific examples of projects where you developed ETL processes, optimised data pipelines, or implemented data security best practices.
Showcase Technical Skills: Make sure to include your technical skills related to Microsoft Azure Synapse, Fabric, and any other relevant tools or programming languages. Mention any certifications you may have that are pertinent to the role.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for motorcycles and how it aligns with Triumph's mission. Make it personal and engaging to stand out from other candidates.
How to prepare for a job interview at Triumph Motorcycles
✨Showcase Your Technical Skills
Make sure to highlight your experience with Azure, particularly Azure Synapse and Fabric. Be prepared to discuss specific projects where you've developed ETL processes or optimised data pipelines.
✨Understand the Company Culture
Familiarise yourself with Triumph's history and values. Demonstrating a genuine passion for motorcycles and how it aligns with their mission can set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples where you've collaborated with cross-functional teams or implemented data security best practices.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about the current challenges they face with their data platform and how you can contribute to overcoming them.
