At a Glance
- Tasks: Design and build ETL data pipelines using Python and SQL while collaborating on real-world projects.
- Company: Join London Success Academy and StoryPointsAI for an expert-led Data Engineering placement.
- Benefits: Gain a UK Data Engineering Experience Certificate, portfolio project, and mentoring from industry experts.
- Other info: Only 10 places available – apply now for this unique opportunity!
- Why this job: Kickstart your career in a fast-growing field with hands-on experience and networking opportunities.
- Qualifications: Ideal for recent graduates or anyone looking to start a career in Data Engineering or Cloud Technologies.
The predicted salary is between 63000 - 77000 £ per year.
Are you looking to gain UK Data Engineering experience while building your career? London Success Academy (LSA), in collaboration with StoryPointsAI, is offering a 4-week Data Engineering Work Placement for aspiring Data Engineers, Cloud Data Engineers, Data Analysts, Data Architects, ETL Developers, Database Engineers, and technology graduates who want practical exposure to modern data engineering, cloud platforms, and large-scale data processing.
This expert-led programme will help you understand how organisations design, build, manage, and optimise data pipelines, cloud-based data platforms, and enterprise data solutions through real-world projects and industry-led case studies.
What You'll Learn
- Data Engineering Fundamentals and Modern Data Architectures
- ETL (Extract, Transform, Load) Pipeline Development
- SQL, Python, and Database Design Best Practices
- Cloud Data Platforms (AWS, Microsoft Azure, and Google Cloud)
- Data Warehousing, Data Lakes, and Big Data Concepts
- Communicating Data Engineering Solutions to Technical and Business Stakeholders
What You'll Do
- Design and build ETL data pipelines using Python and SQL
- Explore cloud-based data storage and processing solutions
- Optimise relational and NoSQL databases for performance and scalability
- Prepare, transform, and manage datasets for analytics and machine learning
- Collaborate through structured data engineering projects and mentor feedback
- Complete a real-world Data Engineering case study and create an interview-ready portfolio project
Who Should Apply?
- Recent graduates in Computer Science, Data Engineering, Data Science, Information Technology, Software Engineering, or related fields
- Individuals looking to start a career in Data Engineering, Cloud Engineering, Data Analytics, or Big Data
- Junior data professionals looking to gain practical UK data engineering experience
- Career changers interested in data platforms and cloud technologies
- Technology professionals looking to strengthen their data engineering skills and portfolio
Bonus Skills (Not Essential)
- Basic understanding of Python and SQL
- Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)
- Knowledge of ETL tools, Apache Spark, Apache Airflow, or Kafka
- Understanding of relational and NoSQL databases
- Interest in big data, cloud computing, data warehousing, or machine learning
What You'll Receive
- Official UK Data Engineering Experience Certificate
- Data Engineering Portfolio Project for Your CV and Interviews
- Practical Experience in Data Pipelines, Cloud Platforms, and Database Engineering
- Mentoring from Success Coach Nilesh and Industry Experts
- UK Industry Exposure
- Networking Opportunities with Data Engineering and Technology Professionals
- Letter of Recommendation for Outstanding Participants
- Recognition and Rewards for Top Performers
Why Join?
Data Engineering is one of the fastest-growing technology careers, with organisations relying on skilled professionals to build reliable data infrastructure that powers analytics, artificial intelligence, and business decision-making. However, many candidates struggle to demonstrate practical data engineering experience when applying for technical roles. This placement helps bridge that gap by providing hands-on exposure to ETL development, cloud platforms, database optimisation, data pipelines, and enterprise data architecture through realistic business scenarios and industry-led mentoring.
You will build practical technical skills, create portfolio-ready projects, and develop the confidence needed for careers as a Data Engineer, Cloud Data Engineer, ETL Developer, Database Engineer, Big Data Engineer, Data Platform Engineer, or Analytics Engineer in the UK job market. You will not be working for the company or replacing paid employees. This unpaid programme is focused on learning, skill development, mentoring, and gaining valuable UK work experience.
About London Success Academy
London Success Academy helps professionals accelerate their careers through practical learning, mentoring, and industry-focused programmes. We support aspiring professionals in developing future-ready skills, building confidence, and improving their career opportunities.
About StoryPointsAI
StoryPointsAI is a technology-focused organisation specialising in Data Engineering, Artificial Intelligence, and cloud-based solutions. Through practical projects, expert mentoring, and industry-focused learning, StoryPointsAI helps aspiring professionals develop the technical skills required for modern data engineering and cloud technology careers.
Limited to only 10 participants. Apply today and take the next step towards your Data Engineering career.
Data Analyst Work Placement (Remote) in Bradford employer: LSA : London Success Academy
London Success Academy is an exceptional employer for aspiring software developers, offering a unique remote Developer Work Placement that provides invaluable hands-on experience in the UK tech industry. With a strong focus on mentoring, practical learning, and networking opportunities, participants will not only enhance their technical skills but also build a professional portfolio that stands out in the competitive job market. Join us to kickstart your career in a supportive environment that prioritises your growth and success.
Contact Details:
LSA : London Success Academy Recruitment Team
