At a Glance
- Tasks: Design and build data pipelines while learning from experienced mentors.
- Company: HireShire, a global staffing platform connecting talent with innovative organisations.
- Benefits: Gain practical experience, mentorship, and an internship certificate.
- Other info: No prior experience needed; perfect for students and recent graduates.
- Why this job: Kickstart your career in data engineering with hands-on projects and real-world skills.
- Qualifications: Basic knowledge of SQL or Python; strong learning mindset.
The predicted salary is between 500 - 1500 £ per month.
About HireShire
HireShire is a global staffing and talent development platform dedicated to connecting high-potential professionals with forward-thinking organisations. As we expand our technology talent ecosystem, we are launching our Data Engineering Internship Program to support aspiring engineers in building real-world skills across modern data systems and cloud infrastructure.
Role Overview
As a Data Engineering Intern at HireShire, you will gain hands-on experience working with scalable data pipelines, cloud data platforms, and analytics infrastructure. This role is designed for motivated learners who want to develop strong foundations in data engineering while working on real-world projects under professional mentorship. No prior professional experience is required—this program supports beginners transitioning into the data domain.
Key Responsibilities
- Learn to design and build data pipelines using tools such as Python, SQL, and Apache Airflow
- Assist in collecting, transforming, and loading (ETL) data from multiple sources
- Support data warehousing solutions using platforms like BigQuery, Snowflake, Redshift, or Azure Synapse
- Work with cloud storage systems on AWS, Azure, or GCP
- Help maintain data quality, integrity, and documentation best practices
- Participate in real-time projects involving analytics datasets and reporting pipelines
- Collaborate with mentors and team members to troubleshoot and optimise workflows
Who Can Apply
- Students or recent graduates in Computer Science, IT, Engineering, Mathematics, or related fields
- Career switchers eager to enter the data engineering domain
- Candidates with:
- Basic knowledge of SQL or Python
- Interest in data systems, cloud platforms, and automation
- Strong learning mindset and problem-solving skills
- Previous experience is helpful but not mandatory
Nice to Have (Not Required)
- Familiarity with ETL processes or data modelling
- Exposure to cloud platforms (AWS, Azure, GCP)
- Awareness of data visualisation tools or analytics platforms
- Understanding of Big Data concepts (Spark, Kafka, Hadoop)
What You’ll Gain
- Practical experience working on real-world data engineering projects
- 1:1 mentorship from experienced Data Engineers
- Guided training in modern tools, platforms, and workflows
- Step-by-step exposure to cloud data infrastructure
- Internship Certificate
Data Engineering Intern employer: Hireshire
At HireShire, we pride ourselves on being an excellent employer that fosters a culture of learning and innovation. Our Data Engineering Internship Program offers aspiring engineers the chance to gain hands-on experience in a supportive environment, with 1:1 mentorship from seasoned professionals. Located in a dynamic tech ecosystem, we provide unique opportunities for personal and professional growth, ensuring that our interns are well-equipped to thrive in the data engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Intern
✨Tip Number 1
Network like a pro! Reach out to professionals in the data engineering field on LinkedIn or at local meetups. We can’t stress enough how important it is to make connections—sometimes, it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects you've worked on, even if they’re personal or academic. We love seeing practical applications of your knowledge, and it gives you something to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research common data engineering interview questions and practice your answers. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Data Engineering Intern
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Engineering role. Highlight any relevant coursework or projects, especially those involving Python, SQL, or cloud platforms.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering. Share your motivation for applying and how this internship fits into your career goals. Be genuine and let your personality shine through!
Showcase Your Learning Mindset:Since we’re looking for motivated learners, emphasise your eagerness to learn and adapt. Mention any self-study, online courses, or personal projects related to data systems or cloud technologies.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it!
How to prepare for a job interview at Hireshire
✨Know Your Basics
Make sure you brush up on your SQL and Python skills before the interview. Even if you’re a beginner, being able to discuss basic concepts and show enthusiasm for learning will impress the interviewers.
✨Show Your Passion for Data
Express your interest in data engineering and cloud platforms during the interview. Share any personal projects or coursework related to data systems, as this demonstrates your commitment and eagerness to learn.
✨Ask Smart Questions
Prepare thoughtful questions about the internship program and the technologies used at HireShire. This shows that you’ve done your homework and are genuinely interested in how you can contribute to their team.
✨Highlight Your Problem-Solving Skills
Be ready to discuss how you approach problem-solving. Use examples from your studies or personal projects where you faced challenges and how you overcame them. This will showcase your analytical mindset, which is crucial for a data engineering role.