Deer Data AB jobb

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 [email protected].