Staff Data Engineer

As a Senior Data Engineer within the Identity Engineering organisation, you will be responsible for writing and reviewing code, contributing to technical decisions, and mentoring engineers in your squad. You will be empowered to contribute to technical and architectural decisions and to influence the roadmap for your squad, working in partnership with your local leader, your squad, and your peers across product, project management and engineering. You will contribute to and be part of an engaging, dynamic and inclusive engineering organisation grounded in Scrum and agile practices, CI/CD, great collaboration, functional programming and motivated by a commitment to continuous learning and improvement. Identity Engineering delivers Consumer Identity and Access Management (CIAM) capabilities across the board.

Responsibilities:

• Contribute to the design, development, testing, deployment, and support of data pipelines and data lakes.
• Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by actively participating in regular ceremonies such as stand-up, retrospectives and sprint planning.
• Mentor engineers within your squad (and beyond! ) to help them improve their technical ability and build their profile within and outside of the organisation.
• Collaborate with your squad, product managers, designers, QA, operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.

Requirements:

• Familiarity with the following languages: Scala, Python and 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.

Desirable Skills:

• Familiarity with Databricks or Snowflake products.
• Familiarity with Terraform, CloudFormation, or another infrastructure as code (IaC) tool.

Required Education and Experience:

• Bachelor's degree in computer science, information systems, software, electrical or electronics engineering, or a comparable field of study and/or equivalent work experience.
• Minimum of 5 years' related work experience.