Data Engineer

Responsibilities:

• Contribute to the design, development, testing, deployment, and support of data pipelines and data lakes.
• Design, build and manage complex large-scale data architectures.
• Drive technical direction and set best practices for data governance, quality, security, and data modelling.
• Mentor senior and junior data engineers, fostering a culture of engineering excellence, code review, and high-quality documentation.
• Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.

Requirements:

• Familiarity with at least one of the following languages: Scala, Python, or SQL.
• Familiarity with at least one of the following: Spark, Hive, or Presto.
• Familiarity with data engineering methods and their application at scale.
• Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure.
• Solid experience architecting Data systems.
• Experience working on complex projects at an organisation level, coordinating work between multiple teams.
• Familiarity with data quality and observability tools.
• Demonstrated ability to lead technical data teams, set direction, and grow engineers.

Desirable Skills:

• Familiarity with Databricks or Snowflake products.
• Familiarity with Terraform, CloudFormation, or another infrastructure as code (IaC) tool.
• Experience operating as a Principal Engineer / Data Architect.

Required Education:

• Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
• Minimum of 12+ years of related work experience.