Data Engineering Trainee & Intern

Oeson Learning
Bradford
2 months ago
Applications closed

Related Jobs

View all jobs

Trainee Recruitment Consultant (Progression to Director)

Director (Data Science)

AI Trainer

Data Engineer

Senior Data Science Developer

Data Engineering Lead

About the Company

Oeson Learning is a dynamic and innovative career growth platform underOeson Private Limited. Our mission is toempower professionals and individualswith the skills and knowledge they need to excel in their careers. We offer specialized, hands-ontraining and internship programsthat combine real-world experience with cutting-edge industry practices.

With a focus onquality training and internship support, Oeson Learning is committed to shaping thefuture leaders of tomorrowby providing them with the tools to succeed in their chosen fields.


About the Role

As aData Engineering Program InternatOeson Learning, you will embark on anintensive three-month training and internship programdesigned to provide boththeoretical knowledge and practical experienceinData Engineering. This role is perfect for individuals who are eager towork with large datasets, build data pipelines, and develop scalable data solutionswhile working onreal-world projects.


Key Responsibilities

  • Participate inhands-on trainingcovering keyData Engineering concepts.
  • Work alongsideindustry expertsonreal-time data projects, gaining practical experience indata processing, ETL pipelines, and cloud data solutions.
  • Apply your learning inparallel with an internship, where you will contribute tobuilding and managing scalable data pipelines.
  • Gain experience withSQL, Python, Apache Spark, Hadoop, and cloud platforms like AWS, GCP, or Azure.
  • Learnhow to optimize, clean, and process large datasetsfor analytics and AI applications.
  • Collaborate with peers and mentors todesign data models, warehouse architectures, and big data solutions.
  • Receive continuousfeedback and supportto refine your skills indata transformation, automation, and performance tuning.


What You Will Learn

  • Data Engineering Fundamentals:Understandingdata architectures, ETL processes, and big data ecosystems.
  • Database Management:Working withSQL, NoSQL, and data warehouses like Snowflake, Redshift, and BigQuery.
  • Data Pipelines & ETL:Buildingautomated workflowsusingApache Airflow, Spark, and Hadoop.
  • Cloud Data Engineering:Learning how tostore, process, and analyze big datausingAWS, GCP, or Azure.
  • Data Processing & Optimization:Implementingdata transformation, cleaning, and performance tuning techniques.
  • Data Security & Governance:Understandingbest practices for securing and managing large-scale data systems.


Perks & Benefits

Certificate of Internship

Certificate of Training

Letter of Recommendation*

LinkedIn Profile Building

Personal Branding

Resume Building


Requirements

  • Strong interest inData Engineering, Big Data, and Cloud Technologies.
  • Eager to learn and take on challenges,no prior experience required.
  • Basic understanding ofSQL, Python, or databasesis a plus (but not mandatory).
  • Enthusiastic aboutgaining hands-on experienceand working onreal-world data engineering projects.


Workplace Type:Remote

Location:UK


Note

This is an unpaid internship, designed for individuals who aretruly passionate about learningand gaininghands-on experienceinData Engineering. If you are eager to upskill, work onindustry-level projects, and build astrong portfolio, we encourage you to apply!

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.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.