Junior Data Engineer

About this role

Responsibilities

• As our Junior Data Engineer, you will work alongside experienced engineers to design, build, and maintain data pipelines and analytics infrastructure for our clients. This is a hands-on role where you'll grow quickly, you'll write production code from your first weeks, with mentorship and code review from senior teammates. You'll touch the full data lifecycle: ingestion, modeling, transformation, orchestration, and serving data to downstream users.
• Build and maintain ETL/ELT pipelines using Python and SQL
• Develop data models and transformations in dbt against a cloud data warehouse (Snowflake, BigQuery, or Redshift)
• Author and operate scheduled workflows in Airflow or Dagster
• Deploy and monitor data infrastructure on AWS, GCP, or Azure
• Collaborate with analysts and clients to translate business questions into well-modeled data
• Participate in code review, on-call rotation, and team improvement work
• We're looking for someone who has
• 0–2 years of professional experience (or strong internship/project work) in data engineering, software engineering, or analytics engineering
• Solid working knowledge of Python and SQL
• Exposure to at least one cloud platform (AWS, GCP, or Azure) and one modern data tool (dbt, Airflow, Dagster, or a cloud warehouse)
• A degree in computer science, engineering, mathematics, statistics, or equivalent practical experience
• Strong written and spoken English; Swedish is a plus but not required
• Curiosity, willingness to ask questions, and care for the quality of your work

About Deer Data AB

Deerdata is a Stockholm-based data company helping organizations turn raw data into reliable, actionable insight. We build modern data platforms: pipelines, warehouses, and analytics layers, that our clients trust to run their business on. We are a small, senior team that values curiosity, craftsmanship, and a healthy work-life balance.