At a Glance
- Tasks: Design and maintain data pipelines, collect and clean datasets, and support data governance.
- Company: Join a dynamic team working with an international client in the data engineering field.
- Benefits: Gain hands-on experience, mentorship, and a completion certificate.
- Other info: Flexible hours, fully remote, and great for freshers or final-year students.
- Why this job: Work on real-world projects and enhance your skills with modern data technologies.
- Qualifications: Pursuing or completed a degree in relevant fields; basic SQL and Python knowledge required.
The predicted salary is between 20000 - 30000 £ per year.
Job Title
Data Engineering Intern (Remote – UK Client)
Location
Remote
Duration
3–6 Months Internship
Working Hours
Flexible (Must be available for overlap with Australian business hours when required)
Stipend
As per company standards
Client Location
Data Engineering Intern
About the Role
We are seeking a motivated and detail-oriented
Data Engineering Intern to join our client's growing data team.
This internship offers an excellent opportunity to work on real-world data engineering projects, gain hands-on experience with modern data technologies, and contribute to building scalable data pipelines and analytics solutions.
The ideal candidate should have a strong interest in data processing, databases, cloud technologies, and data-driven decision-making.
Key Responsibilities
- Assist in designing, developing, and maintaining ETL/ELT data pipelines.
- Collect, clean, transform, and validate large datasets from multiple sources.
- Support the development and optimization of data warehouses and data lakes.
- Work with structured and unstructured data to ensure quality and consistency.
- Monitor data workflows and troubleshoot pipeline failures.
- Assist in integrating APIs and third-party data sources.
- Collaborate with data analysts, software engineers, and business stakeholders.
- Document data processes, workflows, and technical specifications.
- Support data governance, security, and compliance initiatives.
- Participate in code reviews and contribute to process improvements.
- Required Skills
- Pursuing or recently completed a degree in Computer Science, Information Technology, Data Science, Software Engineering, or a related field.
- Basic understanding of SQL and relational databases.
- Knowledge of Python for data processing and automation.
- Familiarity with data structures and algorithms.
- Understanding of ETL concepts and data modeling principles.
- Knowledge of Git/Git Hub version control.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
- Preferred Skills
- Experience with Python libraries such as Pandas, Num Py, or Py Spark.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Exposure to data warehousing solutions like Snowflake, Big Query, or Redshift.
- Understanding of Apache Airflow, Kafka, Spark, or Hadoop.
- Knowledge of REST APIs and JSON data formats.
- Basic understanding of data visualization tools such as Power BI or Tableau.
- What You'll Gain
- Hands-on experience working with an international client.
- Exposure to modern data engineering tools and technologies.
- Opportunity to work on real-world business datasets.
- Mentorship from experienced engineering professionals.
- Experience in cloud-based data infrastructure.
- Internship completion certificate and performance-based recommendation opportunities.
- Selection Process
- Application Screening
- Technical Assessment (SQL/Python)
- Technical Interview
- Client Discussion (if required)
- Offer Release
- Technical Skills Keywords
SQL, Python, ETL, ELT, Data Engineering, Data Pipelines, Data Warehousing, AWS, Azure, GCP, Snowflake, Spark, Airflow, Kafka, Git, APIs, Data Modeling, Big Data, Analytics, Cloud Computing.
Employment Type
Internship
Work Mode
Fully Remote
Client Region
Australia
Experience Required
Freshers / Final-Year Students / Recent Graduates Welcome.
Data Engineering Intern in Worcester employer: Stealth Startup
Stealth Startup is an exceptional employer that fosters a dynamic and inclusive remote work culture, perfect for aspiring data scientists. With a focus on professional growth, interns will gain invaluable hands-on experience while collaborating with experienced teams, all within the supportive framework of UK time zones. This role not only offers the chance to develop technical skills in Python and machine learning but also encourages innovation and creativity in solving real-world data challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Intern in Worcester
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Data Engineering Intern in Worcester
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Stealth Startup will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Stealth Startup
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Stealth Startup.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Stealth Startup that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
