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
We're looking for someone who has
Nice to have
What we offer
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 deleted for security reasons >.
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 deleted for security reasons >.