Junior Data Engineer Build modern data platforms at Deerdata

About Deerdata

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.

The role

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.

What you’ll do

• 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

Nice to have

• Experience with infrastructure-as-code (Terraform), containers (Docker), or CI/CD
• Open-source contributions or personal data projects
• Familiarity with streaming (Kafka), data quality tooling, or BI tools (Looker, Power BI, Metabase)

What we offer

• A hybrid setup based in central Stockholm — typically 2–3 days in the office per week
• Modern tech stack and real ownership from day one
• Direct mentorship from senior data engineers
• 30 days of paid vacation, occupational pension, and wellness allowance per Swedish standards
• A flat, calm team culture that prioritizes deep work over busywork

How to apply

Send your CV and a short note about a data projects you’re proud of. Applications are reviewed on a rolling basis, so apply early

Questions? Reach out to naresh.kollu@deerdata.se.