Data Engineering Expert

5 days ago


Mölndal, Västra Götaland, Sweden Hedin IT AB Full time

About Hedin IT AB

Hedin IT AB is a leading mobility enabler in Europe, seeking a Senior Data Engineer to join our Business Intelligence team. We are committed to delivering innovative solutions that drive business growth and customer satisfaction.

The Role

As a Senior Data Engineer, you will design, build, and maintain a scalable data platform that supports enterprise-wide analytics and decision-making. You will develop and optimize data pipelines, integrations, and models to ensure accurate, accessible, and structured data for business insights.

Main Responsibilities

  • Data Pipeline Development: Design and develop scalable data pipelines for efficient extraction, transformation, and loading (ETL/ELT) of large-scale datasets.
  • Lakehouse Architecture: Architect and enhance our lakehouse architecture using Databricks, ensuring flexibility, scalability, and performance.
  • Data Quality and Governance: Ensure data quality, governance, and security by implementing best practices for monitoring, validation, and compliance.
  • Optimization and Automation: Optimize data performance and cost-efficiency by tuning queries, storage, and compute resources for enterprise-scale workloads. Standardize and automate data integration across multiple internal and external sources, ensuring seamless interoperability.

Requirements

  • A degree in Computer Science, Data Science, Software Engineering, or related field.
  • Several years of experience in data engineering, working with large-scale data platforms in an enterprise setting.
  • Strong SQL and Python skills, optimizing queries and processing large datasets.
  • Hands-on experience with cloud-based platforms like Azure, Databricks, or similar.
  • Deep knowledge of ETL/ELT processes using 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.


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