Requirements

Expected technologies

DBT

SQL

Snowflake Data Cloud

Airflow

Azure Data Factory

Microsoft Power BI

Our requirements

• Great knowledge of technologies including but not limited to: DBT, SQL, Snowflake, Airflow, Azure Data Factory, PowerBI,
• Be able to work with minimal supervision in a dynamic and timeline sensitive work environment,
• A strong understanding of agile data development methodologies, values, and procedures,
• A thorough understanding of best practice in the data engineering lifecycle,
• Understanding of and a passion for automation,
• Strong stakeholder management, communication, organisation, and time management skills,
• Ability to help coach the team to reach their highest potential,
• “Self-motivated”, creative and efficient in proposing solutions to complex, time-critical problems,
• Be able to deal with multiple projects and deadlines,
• Strong analytical and problem-solving skills with a high attention to detail.

Your responsibilities

• Develop high quality data products and ensure that solutions built by the data team have resilience in mind,
• Implement the technical strategy to ensure our systems and architecture remain relevant and capable of meeting the demands of the business,
• Provide knowledge management for the Data estate,
• Keep up to date emerging technologies ensuring any new tools adopted in the company are fit for purpose and commercially appropriate,
• Engineer in required technologies laying foundations of best practices for the wider data team to follow,
• Take a leadership role within the Data team, providing coaching and mentoring to all levels of seniority,
• Influence interface with the business and make sense of complicated or incomplete requests.