Senior Data Engineer — Hybrid, Remote Options, Equity

Sozialwerk Pfarrer Sieber

Greater London

Híbrido

GBP 85.000 - 120.000

Jornada completa

Hace 6 días
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Ventajas ofrecidas por este puesto de trabajo

Flex Days
28 days vacation
Impact Day

Descripción de la vacante

Personio in London is looking for a Senior Data Engineer to join our reporting and analytics function. You will build the latest version of a product enabling customers to report and visualize key employee/HR data, with a hands-on role in data pipelines, modeling, and governance.

You will collaborate with data scientists, analysts, and software engineers, contribute to documentation, and stay current on data engineering best practices while working in a hybrid model with 2 office days per week.

Formación

  • Proven experience as a Senior Data Engineer, with a track record of designing and implementing data solutions.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong experience with data warehousing technologies (e.g., Snowflake, Redshift) and proficiency in SQL.
  • Experience of working in an event-driven architecture environment and cloud platforms (e.g, AWS, Azure, GCP).
  • Familiarity with data governance and security best practices.
  • Excellent problem-solving skills and the ability to work independently or collaboratively in a team.
  • AI Fluency: hands-on experience using AI to improve your workflow, and the sound judgment to know when to rely on it and when to step in yourself.

Responsabilidades

  • Data Pipeline Development: Design, develop, and maintain robust and scalable data pipelines to support ETL of data from diverse sources into our data warehouse.
  • Data Modeling: Create and manage data models, ensuring data integrity, consistency, and accuracy.
  • Performance Optimization: Identify and implement performance improvements for data processing and storage.
  • Data Security and Governance: Implement and enforce data security measures and governance policies to protect sensitive information.
  • Collaboration: Work closely with cross-functional teams to understand data needs and provide timely support.
  • Documentation: Create and maintain comprehensive documentation for data engineering processes and system architecture.
  • Continuous Learning: Stay abreast of industry trends and best practices in data engineering.

Conocimientos

Python
Java
Scala

Herramientas

Snowflake
Redshift
SQL
AWS
Azure
GCP
Event-driven architecture

Descripción del empleo

Personio in London is looking for a Senior Data Engineer to join our reporting and analytics function. You will build the latest version of a product enabling customers to report and visualize key employee/HR data, with a hands-on role in data pipelines, modeling, and governance.

You will collaborate with data scientists, analysts, and software engineers, contribute to documentation, and stay current on data engineering best practices while working in a hybrid model with 2 office days per week.

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