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Nurturing the deep-tech experts of tomorrow
A 12-month paid traineeship in cutting-edge cloud and data technology.
- Work on real projects
- Make an impact
- Learn from leading experts
Infinite Lambda’s Talent Accelerator
Infinite Lambda is a pioneer in the fields of data engineering and analytics, cloud-native engineering and DevOps. We create cutting-edge platforms for modern companies that help them scale, transform and continuously improve.
Until now, the only way to learn to do what we do has been by spending years at a similar organisation. The Talent Accelerator is here to change that by providing the right type of support, guidance and practical experience to help people enter the industry.
LOCATION
Budapest
DURATION
12 months
structure
Intensive Training
Practical experience
Top performing trainees will be guaranteed a permanent job with Infinite Lambda at the end of the 12-month Accelerator programme.
Тracks & specialisations
All specialisations are open to trainees based in Sofia or Plovdiv.
Data track
specialisation
Data engineering
Our trainers will teach you the best practices to work with a programming language like Python. We will teach you how to run workloads on Kubernetes and how to orchestrate complex data pipelines with technologies like Airflow and Argo. You will learn about modern cloud data warehouses, such as Snowflake, and Data Science platforms, such as Databricks. You will also get experience with streaming platforms like Kafka and use a number of serverless tools like Lambda functions and Kinesis, and others.
Requirements:
- Demonstrable knowledge of Python, Java or Go
- Basic SQL
- Excellent command of English
- Bonus points for projects on GitHub
Closed for applications
specialisation
Analytics engineering
Learn how to use modern advanced analytics and data science to optimise any organisation and make it data-driven.
Integrate data from multiple areas of the business into a single trusted model using Fivetran, dbt and Snowflake. Employ modern business intelligence tools, such as Looker and Tableau, to enable businesses to build automated reports and do advanced analytics in a self-service way. Get exposure to advanced data modelling techniques, such as Kimball and Data Vault 2.0, and use them in order to reduce complexity in an organisation. Leverage Amazon SageMaker to automate machine learning for the purposes of customer segmentation and automated recommendations.
Requirements:
- Very good knowledge of SQL
- Great communication skills
- Analytical mindset
- Excellent command of English
Closed for applications
Cloud native track
Cloud native engineering is a modern approach to building cloud-based, scalable, robust and secure applications that work equally well for thousands and millions of users. We use it to build digital banks, automate AI-based decision making on streaming data or help popular mobile games automatically personalise content for a more engaging experience.
specialisation
Cloud application development
Learn to design, build and deploy modern architectures that serve the needs of 500 to 500M customers in the most robust, secure and scalable way.
In this track, you will use event-driven architectures which scale-out effortlessly, ensure stability with circuit-breaking and design applications for constant change to achieve near-zero downtime and leading performance.
Requirements:
- Demonstrable knowledge of Python, Java or Go
- Self-starter and tinkerer
- Excellent command of English
- Bonus points for projects on GitHub
Closed for applications
specialisation
DevOps
Learn how to leverage modern tools and methodologies to optimise software development, create complex cloud infrastructure and keep it safe and secure.
We will teach you everything you need to know about the top cloud providers (AWS, GCP and Azure) and show you how to use Terraform to automate secure infrastructure deployment. You will be exposed to great DevOps practices that empower engineering teams to automate machine learning and data engineering deployables. You will also learn how to implement DevOps principles into data engineering, also referred to as DataOps.
Requirements:
- Linux management experience
- Network management experience
- Basic OOP programming skills
- Excellent command of English
Closed for applications
About Infinite Lambda
Infinite Lambda is Europe’s fastest-growing data and cloud-native engineering consultancy. Our teams are behind the cutting-edge technology platforms of modern organisations across 14 different industries, including biotech, fintech, energy, education, NGO, e-commerce and video gaming.
We have mastered the craft of helping talented technologists enter the exclusive world of high-end data and cloud-native engineering. Our mission is to help more people enter these fields, acquire this exclusive tech stack and gain hands-on experience to become outstanding professionals.
- Expert trainers
You will learn from leading experts that will share their experience with large-scale projects and support your learning curve.
- Real work experience
You will gain hands-on experience with real projects and get to solve actual engineering challenges.
- Fully paid traineeship
You will receive a competitive monthly salary for the entire 12-month period of the traineeship as well as a company MacBook.
- Career opportunities
Upon successful completion, you will be offered a permanent position with Infinite Lambda or one of our clients.
Do you still have questions?
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