Data Engineer

twentyAI are excited to be partnering with a private equity backed hospitality business who are seeking a Data Engineer to join their growing Analytics function. You will work closely with Data Scientists and the Commercial department to understand their goals and how to execute this in a data strategy. You will be able to generate valuable insights and actions to gain a competitive advantage in a saturated market.

The business has embarked on a data driven journey and will need this person to operate as a full stack Data Engineer that can work both the back end as well as produce valuable insights.

With the exciting launch of a new loyalty app, you will be involved in building the pipelines to bring the data in from the app and blend it with data from various other sources including transactional data, external sources, etc.

They are constantly exploring new ways to expand the data teams internal offering so you will have the chance to develop you own skillset, specifically within Data Science.

 Responsibilities

• Data ingestion and transformation: Building pipelines, assessing data quality, cleansing. Includes identifying data sources and working with external providers, connecting the loyalty app ecosystem with POS data.
• Understand the business problem, generate models and actionable insights for business improvements.
• Work on customer insights, ingesting data from GA4 and building clean datasets that can be used for modelling and advanced analytics.
• Work closely with other members of the team, specifically Data Scientists to build robust models and present back to senior stakeholders within the business.

Technology stack

• Python
• SQL
• DBT
• Snowflake
• GA4

Qualifications & Characteristics

• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Engineering, Computer Science, etc.)
• Deep understanding of advanced data analytics and end-to-end engineering processes.
• Excellent interpersonal skills with the ability to plan, prioritise and deliver results.
• Familiarity with Big Data frameworks and visualization tools.
• A team player who wants to learn and grow.

This role is based near Birmingham, 3 days a week on average.