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- Tasks: Join us as a Junior Data Engineer, supporting data infrastructure and analytics.
- Company: Work with a leading transportation manufacturer focused on innovation and safety solutions.
- Benefits: Enjoy a competitive salary, excellent benefits, and the flexibility of hybrid or remote work.
- Why this job: Be part of a dynamic team driving operational improvements and cutting-edge technology.
- Qualifications: Basic understanding of data engineering, SQL experience, and familiarity with data tools required.
- Other info: Applicants must be eligible to live and work in the UK.
An exciting opportunity has arisen for a Junior Data Engineer to join one of the world’s leading transportation manufacturers who specialise in providing safety and securement solutions for mobility devices. They are known best for their commitment to innovation, by continuously developing new technologies to improve safety and the ease of use - they have introduced several industry-first products and maintain a strong focus on research and development.
As a Junior Data Engineer, you will play a crucial role in developing the data infrastructure that supports the analytics and operational functions of our business enterprise. Your responsibilities will include assisting in the design, construction, and maintenance of data systems.
Role & Responsibilities:- Data Infrastructure & Support:
- Provide first-line support for data engineering tasks, such as managing and monitoring data pipelines, resolving issues, and ensuring data integrity.
- Work with both structured and unstructured datasets to design and implement data models, perform data cleansing, transformation, and validation.
- Maintain accurate documentation of data workflows, pipelines, and issue resolutions.
- Manage system administration tasks, including user access to data resources and troubleshooting data-related errors.
- Collaborate with business stakeholders to identify data requirements and deliver sustainable solutions.
- Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy.
- Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability.
- Assist in gathering, documenting, and managing data engineering requirements and workflows.
- Contribute to the development of guidelines and documentation for data engineering best practices.
- Assist in designing, testing, and implementing data pipelines and workflows using established software development lifecycle techniques.
- Help define and optimize scalable data processes that drive operational improvements.
- Collaborate with cross-functional teams to ensure data-related initiatives are properly planned, scheduled, and managed.
- Participate in risk management and change management processes related to data infrastructure.
- Participate in quality reviews of designs, prototypes, and other work products to ensure requirements are met.
- Essential:
- Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management.
- Hands-on experience with SQL (e.g., writing queries, basic database management).
- Familiarity with data tools and platforms (e.g., Python, Power BI, Tableau, or similar visualization tools).
- Attention to detail across large data sets and multiple business unit data fields.
- Experience with Snowflake.
- Familiarity with cloud data platforms (e.g., AWS, Azure, or Google Cloud).
- Basic knowledge of version control tools like Git.
- Awareness of data warehousing concepts and architectures.
Package: £30-35k Excellent company benefits Option for this role to be hybrid or remote.
*Applicants must be eligible to live and work in the UK.
Junior Data Engineer employer: CV-Library
Contact Detail:
CV-Library Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as SQL, Python, and visualisation tools like Power BI or Tableau. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Engage with online communities or forums related to data engineering. This can help you stay updated on industry trends and best practices, and you might even find networking opportunities that could lead to referrals or insights about the company.
✨Tip Number 3
Consider working on personal projects or contributing to open-source projects that involve data pipelines or ETL processes. This practical experience can be a great talking point during interviews and shows your initiative and passion for data engineering.
✨Tip Number 4
Research the company’s recent innovations and projects in the transportation manufacturing sector. Being knowledgeable about their products and commitment to safety will allow you to tailor your discussions and show genuine interest during interviews.
We think you need these skills to ace Junior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Junior Data Engineer role. Emphasise your understanding of data engineering concepts, SQL experience, and familiarity with data tools like Python or Power BI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your interest in the company's commitment to innovation. Mention specific projects or experiences that demonstrate your ability to contribute to their data infrastructure.
Highlight Relevant Projects: If you have worked on any data-related projects, whether in a professional setting or as part of your studies, be sure to include these in your application. Detail your role, the technologies used, and the outcomes achieved.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at CV-Library
✨Brush Up on Data Engineering Basics
Make sure you have a solid understanding of data engineering concepts, especially ETL processes and data pipelines. Be prepared to discuss how you've applied these concepts in your previous experiences or projects.
✨Showcase Your SQL Skills
Since hands-on experience with SQL is essential for this role, be ready to demonstrate your ability to write queries and manage databases. You might even be asked to solve a problem on the spot, so practice common SQL tasks beforehand.
✨Familiarise Yourself with Relevant Tools
Get comfortable with data tools and platforms mentioned in the job description, such as Python, Power BI, or Tableau. If you have experience with Snowflake or cloud platforms like AWS or Azure, be sure to highlight that during the interview.
✨Prepare for Collaboration Questions
As the role involves working with cross-functional teams, think about examples from your past where you've successfully collaborated with others. Be ready to discuss how you managed data-related initiatives and contributed to team goals.
