Data Engineer Stockholm: Build Scalable Pipelines

ANIMARUM; Stockholms kommun; On-site; SEK 700,000 - 1,100,000; Full time

Benefits offered by this job

Wellness allowance

Salary sacrifice options

Annual charity contribution

Company bike/car options

Job summary

Animarum is seeking a Data Engineer to design, build and optimize data pipelines and platforms that enable data-driven product development. You will collaborate with product teams, analysts, and software engineers to ensure data is reliable, accessible, and ready for high-impact use cases.

You will work with Python, SQL, and modern orchestration tools to design scalable ETL/ELT solutions, implement robust data models, and ensure high data quality across cloud-based platforms.

Qualifications

• Strong experience with Python and SQL.
• Hands-on experience with modern data pipelines and orchestration tools.
• Solid understanding of cloud-based data platforms.
• Experience with data modeling, warehousing, and distributed systems.
• A pragmatic mindset and a passion for clean, maintainable solutions.

Responsibilities

• Building and maintaining scalable ETL/ELT pipelines.
• Designing robust data models and storage layers.
• Working with modern cloud-based data platforms.
• Ensuring high data quality, observability, and reliability.
• Collaborating with cross-functional teams to enable data-driven product development.
• Automating workflows and improving tooling across the data lifecycle.

Skills

Python

SQL

Data pipelines

Data modeling

Distributed systems

Tools

dbt

Spark

Airflow

Kafka

Snowflake

BigQuery

Redshift

Databricks

Job description

Animarum is seeking a Data Engineer to design, build and optimize data pipelines and platforms that enable data-driven product development. You will collaborate with product teams, analysts, and software engineers to ensure data is reliable, accessible, and ready for high-impact use cases.

You will work with Python, SQL, and modern orchestration tools to design scalable ETL/ELT solutions, implement robust data models, and ensure high data quality across cloud-based platforms.