Senior Data Engineer
Workplace: Mölndal, Sweden
Expires: July 27, 2025
Join Hedin IT AB as a Senior Data Engineer within the Business Intelligence team to design, build, and maintain scalable, high-performance data platforms supporting enterprise-wide analytics at Hedin Mobility Group.
Main requirements:
- Academic degree in Computer Science, Data Science, Software Engineering, or related field.
- Several years of experience in data engineering with large-scale enterprise data platforms.
- Strong skills in SQL and Python.
- Hands-on experience with cloud-based platforms (e.g., Azure, Databricks).
- Deep knowledge of ETL/ELT processes using tools such as Apache Airflow, dbt, or Azure Data Factory.
- Understanding of lakehouse architectures including Delta Lake and Medallion principles.
- Experience in data modeling, performance tuning, and data governance for reliability and scalability.
Responsibilities:
- Design, develop, and optimize scalable ETL/ELT data pipelines.
- Architect and improve lakehouse architecture using Databricks, ensuring flexibility, scalability, and performance.
- Ensure data quality, governance, and security with best practices in monitoring, validation, and compliance.
- Optimize data performance and cost-efficiency by tuning queries, storage, and compute resources for enterprise workloads.
- Standardize and automate data integration across multiple internal and external data sources.
- Collaborate with Business Analysts, Data Engineers, and stakeholders to structure data for analytics and reporting.
- Mentor team members to foster knowledge-sharing and best practices.
Required hard skills:
- SQL
- Python
- Cloud platforms (Azure, Databricks)
- ETL/ELT tools (Apache Airflow, dbt, Azure Data Factory)
- Data modeling
- Data governance
- Performance tuning
- Lakehouse architectures (Delta Lake, Medallion principles)
Soft skills:
- Collaboration
- Knowledge sharing
- Adaptability to change
- Creative problem-solving
- Motivation to build lasting solutions
Coding languages:
- SQL
- Python
Frameworks:
- Apache Airflow
- dbt
- Azure Data Factory
- Databricks
Natural languages:
- Swedish (Proficient)
- English (Proficient)
Cultural skills:
- Thriving in large-scale enterprise environment
- Embracing complexity and change
- Continuous improvement mindset
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