Data Engineering Intern

Hirist
Birmingham, England
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - Celonis

Reed Technology Birmingham, United Kingdom

Data Engineer

Hays Technology City of London, United Kingdom

Data Engineer (Automation)

Network IT Milton Keynes, United Kingdom

Senior Data Engineer

SF Partners Birmingham, United Kingdom

Python Data Engineer

Chris Turner Recruitment Ltd London, United Kingdom

Mid-Level Data Engineer

Big Sky Additions Norwich, United Kingdom
Posted
5 Aug 2025 (9 months ago)

Data Engineering Intern (Remote – 3 Month Internship)


Company:

HIRIST – IT Recruitment Partner (Hiring for a Technology Client)


Location:

Remote


Job Type:

Internship


About the Role:

HIRIST is hiringData Engineering Internson behalf of a reputed IT client. This remote, part-time internship is ideal for individuals aiming to develop hands-on experience in managing and building data pipelines. Interns will work closely with the engineering and data teams to support the development of scalable data infrastructure and improve data reliability and accessibility.


Key Responsibilities:

  • Assist in building and maintaining efficient, scalable data pipelines.
  • Help with data ingestion, transformation, and integration processes.
  • Support ETL (Extract, Transform, Load) tasks using modern data tools.
  • Work with large datasets to optimize performance and quality.
  • Collaborate with data scientists and analysts to ensure data availability.


Required Qualifications:

  • Familiarity with SQL and relational databases.
  • Basic understanding of data structures and data modeling.
  • Good problem-solving and logical thinking skills.
  • Ability to work independently in a remote environment.


Preferred Qualifications:

  • Exposure to tools like Apache Airflow, Spark, or Kafka.
  • Basic experience with Python or Scala for scripting and automation.
  • Knowledge of cloud platforms like AWS, Azure, or GCP.
  • Previous academic or personal projects related to data pipeline development or big data handling.


Internship Details:

  • Duration:3 months
  • Hours:15–20 hours/week
  • Compensation:Paid internship (stipend provided)
  • Completion:Certificate of internship provided upon successful completion


Hiring Process:

  1. Resume Screening
  2. Basic Data Engineering Task
  3. Virtual Interview with Project Team
  4. Onboarding via HIRIST


Additional Information:

  • This is a fully remote position. A stable internet connection is essential.
  • HIRIST acts as a recruitment partner for a verified IT client.
  • The client organization's name will be disclosed to shortlisted candidates during the interview process.
  • There areno fees or chargesat any stage of the hiring process.


Equal Opportunity Statement:

HIRIST is an equal opportunity recruitment partner. We welcome candidates from all backgrounds, regardless of race, gender, disability, or any protected characteristics.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.