As a Data Engineering Intern at Aize in Aberdeen, you’ll collaborate with engineers and cross-functional teams to design, code, and deploy data pipelines using tools like Python, Spark, Databricks, and Azure, gaining hands-on experience in real-world enterprise data solutions.
What you tell your friends you do
"As a Data Engineering Intern at Aize, I’ll help build data solutions that solve challenges in the energy industry, contributing to products used globally by thousands of people!”
What you will really be doing
🛠️Build and contribute to data solutions that will be used by real customers
🌱Solve interesting tech challenges that will make you think and grow as an engineer
🤝Collaborate with experienced engineers and learn about technical architecture, deployment pipelines, and infrastructure
➕ Work with a multidisciplinary team, including data engineers, software engineers, project managers and subject matter experts to bring software and data solutions to life
🎉Contribute to a great team culture and help improve processes, even for future interns!
How you will be doing this
You’ll be part of an agile, cross-functional team. You’ll collaborate with colleagues and bring your own ideas to solve interesting problems
Your tasks will be prioritized in line with the product’s goals, allowing you to contribute meaningfully
We don’t do things just because they’ve always been done that way, but we don’t ignore the lessons learned either – meaning you’ll play an active role in driving improvements and shaping innovation
You’ll have the chance to explore new tools and technologies, working on projects that are full of learning opportunities
What you will be working on
Over the 12-week internship, you’ll get hands-on experience working with our data builds teams, helping to build and improve data ingestion processes for our customers. You’ll be involved in everything from writing Python code to deploying data ingestion pipelines in Databricks, gaining a well-rounded experience.
Team
At Aize, you'll be immersed in a team-driven environment, working with cutting-edge technologies. You'll also work across multiple teams, experiencing the collaborative spirit of our company. We see ourselves as one big team, working together toward a shared goal.
Grounded, human, and unstoppable are the values that guide our day-to-day. If they resonate with you, we’d love to hear from you ✨
Who we think you are
No experience required – we understand you may still be learning! What matters most is a passion for technology, a desire to learn and a curious mindset
You have a foundational understanding of data engineering and programming concepts, and may have experimented with python and databricks through coursework or personal projects
Good communication skills are valued as they help ensure smooth collaboration within and across teams
Preferably third year students pursuing a bachelor's degree
Technologies
You don’t need to be an expert in all of these, but here’s an overview of what we work with:
Python, Spark, Databricks, Microsoft Azure, Relational Databases (MySQL), GitLab, Elasticsearch, Kubernetes, Grafana
*Please note that we’re unfortunately unable to sponsor visas for the duration of the internship
🌟This is a great opportunity to dive into the world of data engineering in a supportive, hands-on environment. Join us and you'll gain practical skills that will help you in your future career as an engineer!
How to apply
Apply directly through the company website. Clicking the link below will open the application page in a new window.
AizeLocation: Fornebu, Norway
Industry: Digital & Technology
Aize allows users to search, visualise, navigate and collaborate on assets digitally. Aize was founded with a vision to fundamentally change how capital projects and operations are performed. Developed by and for domain experts, the company is building on 30 years of software experience and 180 years of industrial heritage as part of the Norwegian Aker group, contributing directly to the global energy transition today. Aize is based in Norway, the UK and the U.S.
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