Senior Data Engineering Lead

hace 1 día


Madrid, Madrid, España Tk Elevator Iberica Holding, Sl Unipersonal A tiempo completo

We are seeking a highly skilled Senior Data Engineering Lead to join our team at Tk Elevator Iberica Holding, Sl Unipersonal. In this role, you will be responsible for designing and developing scalable, high-performance data storage solutions using cloud-based technologies like Azure cloud services.

About the Job

As a Senior Data Engineering Lead, you will work closely with our development teams to ensure that our data architectures support advanced analytics, reporting, and business intelligence needs. You will also lead technical projects related to data infrastructure and systems, collaborate with data engineers and developers to implement data solutions effectively, and ensure data quality and security.

Key Responsibilities:
  • Design and Develop Data Architectures: Create and optimize data pipelines and workflows for efficient data processing.
  • Implement Data Solutions: Build robust ETL/ELT processes to extract, transform, and load data from various sources.
  • Technical Leadership: Provide expertise in data architecture to guide development teams and ensure best practices.
  • Data Quality and Security: Implement data governance policies and data quality standards, monitor data systems for performance, reliability, and security compliance.
About Us

Tk Elevator Iberica Holding, Sl Unipersonal is a company that values innovation and collaboration. We are committed to creating a digitally augmented company that makes life easier, more efficient, and more comfortable. Our employees are at the center of everything we do, and we strive to create an inclusive and supportive work environment.

Requirements

To be successful in this role, you will need:

  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related technical field.
  • Experience in data architecture, data engineering, or a similar technical role.
  • Proficient in SQL and programming languages such as Python.
  • Hands-on experience with big data technologies like Apache Spark.
  • Strong knowledge of Azure cloud services, including Databricks, Azure Data Factory, Azure Synapse Analytics, and Azure Analysis Services.
  • Familiarity with BI tools like Power BI (preferred), Tableau, or Qlik.
What We Offer

In addition to a competitive salary, we offer a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off. We also provide opportunities for professional growth and development, as well as a dynamic and inclusive work environment.

Estimated salary: $120,000 - $180,000 per year.


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