Junior Data Engineer - Integration

Ocean Infinity

2d • €30,000

About The Position

Ocean Infinity is seeking an enthusiastic and motivated Junior Data Engineer - Integration to join our team. The successful candidate will focus on building and automating data pipelines that transform manual workflows into scalable, reliable data solutions. You will work closely with senior team members, data engineers, and product teams to develop data integrations and transformation pipelines that power analytics and operational systems across the company.

Requirements

• A degree in Computer Science, Mathematics, or a related field, or equivalent practical experience.
• 0-2 years of experience in Data Engineering, Backend Engineering, Software Development, or related internship/academic project experience.
• Solid programming foundation in Python and working knowledge of SQL.
• Basic understanding of data pipelines, APIs, or backend services.
• Familiarity with version control systems (Git) and collaborative development workflows.
• Eagerness to learn about workflow orchestration tools (Airflow, Prefect, Flyte) and ETL/ELT frameworks.
• Understanding of fundamental data structures and algorithms.
• Good communication skills and willingness to learn from data engineering teams and business stakeholders.
• Enthusiasm for working with data, building automated pipelines, and solving practical data transformation problems.

Nice To Haves

• Academic or personal projects involving data processing, ETL pipelines, or data transformation.
• Exposure to cloud platforms (Azure, AWS, GCP) and data lake architectures.
• Familiarity with SQL or NoSQL databases (Postgres, MongoDB, Redis).
• Basic understanding of Delta Lake or lakehouse concepts.
• Knowledge of data modeling and schema design principles.
• Experience with CI/CD concepts or tools.
• Basic understanding of containerization concepts (Docker).
• Exposure to data quality frameworks or testing approaches.

Responsibilities

• Build and maintain data pipelines that automate manual workflows, transforming raw data into curated, high-quality datasets under guidance from senior team members.
• Assist in developing data integrations between the lakehouse and downstream products, analytics tools, or operational systems.
• Support the implementation of Bronze → Silver → Gold transformation pipelines using modern orchestration tools.
• Contribute to data quality efforts including implementing validation checks, monitoring pipeline health, and basic troubleshooting.
• Help develop backend data services and APIs that expose curated datasets to internal consumers and business applications.
• Work with Data Engineers, product teams, and business stakeholders to understand data requirements and help implement transformation logic.
• Document data pipelines, transformation logic, and data flows, ensuring knowledge sharing across the team.
• Learn and apply best practices in data engineering, ETL/ELT patterns, and cloud data technologies.

Benefits

• The salary varies for this position as we are recruiting in multiple regional locations and job grades. The salary process is based on skills, abilities, and experience required.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree