Junior Data Engineer (United Kingdom)

Intec Select
united kingdom, guernsey, gb
1 week ago
Applications closed

Related Jobs

View all jobs

Junior Data Engineer

Junior Data Engineer

Junior Data Engineer

Bright Data Engineer Needed | London - 1st Class STEM Degree

Lead Data Engineer

Senior Data Engineer

Junior Data Engineer – Manufacturing - £30-35k – Hybrid or Remote


Overview:

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*

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers Education

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Jobs Careers

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.