Data Engineer

Role overview

Responsibilities

• Deliver assigned work on time and to specification.
• Build relationships with stakeholders outside the department.
• Maintain data quality and resolve problems swiftly.
• Identify technical debt and seek opportunities to reduce it.
• Promote technical best practice across the organisation.
• Resolve faults promptly and ensure background processes are robust and actively monitored.
• Seek opportunities to upskill and cross-train with peers.

Candidate profile

• Experience as a Data Engineer or Analyst, considerable technical experience and demonstrable engineering skills.
• Data handling, data modelling and ETL processes are core capabilities for the role.
• Knowledge of the energy industry is useful but not necessary.
• Comfort working with project managers and product owners, informing stakeholders and management, and presenting or demonstrating solutions.
• Good communication skills and the ability to adapt communication to different audiences.
• The role calls for self-motivation, delivery focus, technical excellence and continual improvement.

Knowledge and skills

• Databricks or Apache Spark; SQL or Python; and BitBucket or GitHub are listed in the knowledge and skills section.
• Advantageous technologies include dbt, AWS, Azure DevOps, Terraform, Jira and Confluence.

Working arrangements

• The posting describes the role as potentially remote and lists hybrid working among the benefits.
• Onsite parking is available.

Pay

• Advertised pay range is £40,000–£60,000; no pay cadence is stated.