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Junior Data Engineer

INTEC SELECT LIMITED
Posted 14 hours ago, valid for 17 days
Location

London, Greater London EC2V7NQ, England

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • An exciting opportunity is available for a Junior Data Engineer in the manufacturing sector, offering a salary of £30-35k.
  • The role involves developing data infrastructure and supporting analytics and operational functions within a leading transportation manufacturer.
  • Candidates should have a basic understanding of data engineering concepts and hands-on experience with SQL and data visualization tools.
  • Preferred qualifications include familiarity with cloud data platforms and experience with Snowflake, along with a strong attention to detail.
  • This position allows for hybrid or remote work, and applicants must be eligible to live and work in the UK.
Junior Data Engineer – Manufacturing - £30-35k – Hybrid or RemoteOverview: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.
Project & Improvement:
  • 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.
Skills & Experience: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.
Preferred:
  • 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*

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.