Role Overview
Data Engineer & Analyst to join our ambitious data team delivering data engineering and innovative data solutions. Projects we work on include Microsoft Fabric data pipeline implementation, advanced analytics, location analytics, LLM agent management and many other projects spanning data engineering, data science and data analytics.
GAIL’s delivers craft baking at scale, striving for sustainable ways of delivering fresh, tasty food every day. We use data and technology to help our teams make better decisions so that they can focus on producing quality food and delivering a great customer experience.
We are looking for someone who has a passion for data, learning and self-development. You will have 0-1 year experience in data engineering and analytics. We do not expect you to know everything, but we do expect you to be inquisitive, innovative and fast learning. You will need to be comfortable interacting with team members across the organisation, have a “can do” attitude and enjoy a challenge.
Key Responsibilities
* Assist in designing, developing, and maintaining data pipelines.
* Support ad-hoc data requests from stakeholders, providing timely and accurate insights.
* Ensure data integrity, consistency, and accuracy across reports and dashboards.
* Identify trends and patterns in sales, customer behaviour, and operational performance to inform business decisions.
* Assist in automating manual reporting processes to enhance efficiency and reduce errors.
* Assist with the design and delivery of agents – make technology choices, manage repositories and libraries.
Required Skills & Experience
* Qualifications in computer science, math, or similar STEM backgrounds.
* Knowledge of Python, R, and/or SQL for data manipulation and analytics
* Knowledge and experience of LLMs and advanced analytics.
* Strong analytical and problem-solving skills with attention to detail.
* Excellent self-organization skills, but also a team player.
Nice to Have
* Experience with dashboarding and data tools (Power BI).
* Understanding data visualization best practices.
* Familiarity with cloud platforms (Azure) and big data technologies (Fabric, Databricks, etc).
* Commercial experience and understanding of business/commerce.
* Microsoft certifications, particularly in data analytics, engineering and Azure.
Why Join Us?
* Be part of a growing and data-driven organization.
* Work in a dynamic environment with opportunities for continuous learning and professional development.
* Enjoy company perks, including staff discounts.
* Gain hands-on experience with cutting-edge BI tools and methodologies.
* Collaborate with a team passionate about data, learning, and self-development.