2 of 2 Data Warehouse Jobs in Kent

Data Analyst - Bromley - Hybrid (3 days per week) - £60,000-£75,000 The Role We're looking for a technically strong, commercially minded Data Analyst to join a fast-growing consumer brand in the entertainment and iGaming space. This hands-on role spans product, marketing, and commercial teams, with a focus on leveraging data … for multiple stakeholders Support A/B testing, funnel analysis, and data modelling to enhance performance Contribute to the evolution of the company's data warehouse and pipelines (experience with dbt or Airflow a plus) Collaborate with product, marketing, and commercial teams to translate data into actionable recommendations Communicate insights clearly across teams … technical skills in SQL and dashboarding tools (Looker Studio/BigQuery) Experience with A/B testing, funnel analysis, and data modelling Familiarity with data warehouse concepts and pipeline development (dbt, Airflow experience advantageous) Ability to work collaboratively across multiple teams and communicate insights effectively Proactive, detail-oriented, and able to drive impact in a More ❯

Your Company: NET Recruit is assisting a distribution company in their search for an Apprentice Data Engineer based in the Kent area. Established over 40 years ago, this company has grown to become a leader in sourcing, producing, and distributing fresh produce to some of the UK’s top retailers. Known for its focus on quality, integrity, and … that its ongoing success depends on its people.As part of its ongoing investment in technology and digital innovation, the business is looking for an enthusiastic and motivated Apprentice Data Engineer to join its IT team, working five days per week. This position represents an exceptional opportunity for an individual with a passion for data, analytics, and … are actively encouraged. Your Role and Responsibilities While in this position your duties may include but are not limited to: Support the design, development, and maintenance of scalable data pipelines using tools such as Apache Airflow, dbt, or Azure Data Factory. Learn how to ingest, transform, and load data from a variety of sources More ❯