Department

IT

Job title

Junior Data Engineer

Location

Amsterdam, the Netherlands

About us: iconic brand, tiny company

Polaroid was founded in 1937 by one of the most seminal innovators of the 20th century, Edwin Land. His motto was, “don't undertake a project unless it is manifestly important and nearly impossible.” In 2008, Polaroid shuttered its last factory but a group of diehard fans came together as The Impossible Project to save instant film. Over 10 years later that startup acquired what was left of Polaroid and today we’re again a small group of people passionate about empowering creators to change the world in the name of Polaroid.

What we're building: tools for creators

Throughout its 80-year history, Polaroid was at its best when we made tools for people to express themselves, push boundaries and move culture forward. In the next decade, we are getting back to this purpose. We're not solving small problems, and we're not addressing a small market; our goal is to make products that will make the world more meaningful and human.

Your role: Junior Data Engineer

We are seeking a Junior Data Engineer to join our dynamic team. As a Junior Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines and architectures using Synapse to support data-driven decision making. You will use Python to write scripts for data extraction, transformation, and loading (ETL) processes, as well as work with data communication protocols to integrate data from various sources and systems. Additionally, you will use SQL to query and manipulate data in databases.

The ideal candidate will be a self-starter with excellent problem-solving skills and a strong desire to learn. You will collaborate with data analysts and scientists to understand their data needs and develop solutions to support their work. You will continuously monitor and optimize data pipeline performance, stay updated on industry trends and best practices.

What you will do

• Design, develop, and maintain data pipelines and architectures using Synapse to support data-driven decision making
• Use Python to write scripts for data extraction, transformation, and loading (ETL) processes
• Work with data communication protocols to integrate data from various sources and systems.
• Use SQL to query and manipulate data in databases
• Collaborate with data analysts and scientists to understand their data needs and develop solutions to support their work
• Continuously monitor and optimize data pipeline performance
• Stay up-to-date on industry trends and best practices to ensure the company's data engineering efforts are effective and efficient.
• Manage the report environment

What you bring

• Bachelor's degree in Computer Science, Computer Engineering, or related field
• Strong knowledge of Python and experience with data engineering tools and affinity with Python/R as data science toolkits.
• Good to have: Spark, Scala and Java.
• Experience with SQL and database management
• Experience working with data communication protocols such as APIs, Websockets.
• Strong understanding of Synapse and experience working with the cloud platform services.
• Strong experience in writing functional requirements following use cases and following Agile methodologies
• Strong analytical and problem-solving skills

What to expect

This is a full-time job-based in Amsterdam HQ and is available as soon as possible. You will be reporting directly to our Web Data Analyst.

Contact

If you would like to be considered for the role, please email your resume and any other relevant information to support your application to [email protected] or apply on LinkedIn.

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