3 months ago
Timişoara, RomaniaAny Level

Responsibilities

  • Design, develop, and maintain scalable data solutions supporting business intelligence, analytics, and data-driven decision-making.
  • Build and optimize data pipelines, data warehouses, data lakes, and cloud-based data platforms.
  • Develop and maintain ETL/ELT pipelines for collecting, transforming, and loading data from multiple sources.
  • Implement data ingestion automation and reliable processing workflows focused on data quality and accessibility.
  • Design data models and optimize database structures, indexing, and query performance for reporting, analytics, and machine learning applications.
  • Implement data validation, monitoring, quality assurance, security, privacy, governance, and documentation processes.
  • Collaborate with IT teams, software developers, data analysts, data scientists, business stakeholders, and the broader engineering community.
  • Provide technical expertise and guidance on data management best practices and support dashboards, reports, and data products.
  • Use Git and collaborative GitHub/GitLab workflows for version control.

Requirements

  • Strong programming skills in Python, Scala, Java, or similar languages.
  • Experience with ETL/ELT tools and frameworks, data ingestion automation, and scalable data pipeline development.
  • Experience developing and maintaining scalable data warehouse and data lake solutions.
  • Knowledge of SQL or NoSQL databases, data modeling, indexing, and query performance optimization.
  • Familiarity with Apache Spark, Databricks, Kafka, or similar big data technologies.
  • Proficiency implementing and managing cloud-based data solutions using Azure, AWS, or Google Cloud.
  • Strong knowledge of containerized and distributed systems using Docker and Kubernetes.
  • Experience implementing data validation, monitoring, quality assurance, security, privacy, governance, and documentation practices.
  • Ability to collaborate with business stakeholders, software developers, data analysts, and data scientists to understand data requirements.
  • Experience with Power BI, Tableau, or Grafana is preferred.
  • Knowledge of Infrastructure as Code tools such as Terraform, Azure Bicep, or AWS CDK is preferred.
  • Advanced knowledge of Git and collaborative GitHub/GitLab workflows.
  • Strong communication, continuous learning, initiative, and interest in emerging technologies.

Benefits

  • Annual gross salary starting from 140,000 RON.
  • Flexible working hours and hybrid work arrangement.
  • Health and wellbeing programs.
  • Meal allowance of 35 RON per day through meal tickets.
  • Team events and company initiatives.
  • Extensive training and internal development opportunities.
  • Regular, permanent employment.

Categories

Data Engineering
Magna International Inc.

About Magna International Inc.

10,000+ employees

Magna International is a public Canadian automotive supplier that designs and manufactures vehicle systems, modules, and electronics for global automakers, and also builds complete vehicles through Magna Steyr. Founded in 1957 and headquartered in Aurora, Ontario, it operates worldwide as a Tier-1 supplier across body, seating, powertrain, ADAS, and electrification. Its common shares trade on the TSX (MG) and NYSE (MGA).

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