Data Analytics Engineer

About Storyous

Storyous’ mission is to power the hospitality industry’s operations to allow you to focus fully on what matters the most- an impeccable guest experience. We take care of the rest.

At Storyous, we're revolutionizing the way restaurants and hospitality businesses manage their operations. Our state of art POS system integrates payment processing, real-time stock management, and seamless delivery service coordination to provide our clients with the tools they need to thrive.

We're looking for passionate, innovative individuals to join our mission. If you’re driven by creativity, enjoy tackling challenges head-on, and thrive in a fast-paced environment, you’ll fit right in at Storyous.

The Role
We are seeking a Data Engineer to join our team. An expert in Data warehouse design who understands how to transform complex data models into scalable products. The successful candidate will be responsible for designing, developing, and implementing state-of-art data solutions to replace the legacy data solutions for our organisation. This includes the collection, storage, and analysis of large data sets, as well as the integration of data into business processes and systems.

Your Mission

A list of the specific duties, tasks and responsibilities in this role.

Your main functions will include:

• Maintain and improve ETL flows for some of our largest datasets

• Ensure Data reliability

• Manage stakeholder expectations around key datasets

• Build, Maintain and improve Data models

• Optimize multiple transformations

• Data warehouse design on complex data sets

Your Story

• Strong SQL skills

• At least 2 years experience in relevant field. ( Data Analytics, Analytics Engineering, Data engineering)

• Experience working with Transformation tooling (For example :DBT )

• Experience working with orchestrators (Airflow, Dagster, Meltano, etc)

• Familiarity with data modelling, data warehousing, and data pipeline design

• Practical knowledge of data structures, algorithms, and software engineering principles, with the ability to apply them to optimize data pipelines, improve ETL processes, and design efficient data models

• Experience with Python

Perks

• 26 days of Annual leave, home office, sick days

• Benefit Plus Cafeteria

• Free Mobile tariff

• Frequent team events & activities in the office and outside

• Office fruits and speciality coffee every day

• Friendly, comfortable and informal office environment

• Flexible working hours as long as it suits you and your team

Teya is proud to be an equal opportunity employer.

We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all.

If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.