Data Platform Engineer
About this role
Data Platform Development and Maintenance: Design, construct, and sustain reliable, high-performance data platforms. Optimize end-to-end data pipelines and automate workflows for maximum efficiency.
Cross-Functional Collaboration: Partner with Product, Engineering, and Data Science teams to evolve and implement a cohesive data platform strategy, translating conceptual needs into tangible, practical solutions.
Data Governance and Documentation: Establish and enforce company-wide data standards. Maintain comprehensive documentation and manage the central data registry to ensure data integrity and accessibility.
User Support and Communication: Provide training and support to platform users. Disseminate platform updates, key metrics, and insights via effective channels, including dashboards and automated notification systems (e.g., bots).
Platform Implementation and Best Practices: Plan and execute major, organization-wide platform transitions. Ensure the consistent application of best practices across the entire engineering lifecycle, including coding, testing, deployment, and long-term maintenance.
Insight-Driven Engineering: Utilize data as the fundamental driver for all engineering efforts, guaranteeing that outcomes are informed by actionable insights.
Salary: monthly gross SEK 42000 (40 hours a week)
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- 5+ years of experience in Data Engineering, Big Data, Backend Engineering, or Data Platform development.
- Strong programming skills in Python; experience with Go, Java, or JavaScript/TypeScript is considered an advantage.
- Hands-on experience with large-scale data platforms and distributed data processing technologies such as Kafka, Spark, Airflow, and ETL/ELT pipelines.
- Experience working with relational and non-relational databases, including PostgreSQL, MySQL, MongoDB, Cassandra, Elasticsearch, or similar technologies.
- Experience with cloud environmen