Data Analytics Engineer

Company Description

We started as a small start-up providing the Storyous point-of-sale system to cafes and restaurants. In 2021, we joined forces with the international fintech start-up Teya. However, our mission has remained unchanged—we continue to help entrepreneurs focus on their customers and their satisfaction.

By integrating the Storyous POS system with a reliable terminal, our customers get everything they need in one device. We provide a comprehensive overview of their operations, integration with popular services (delivery platforms, hotel systems, and accounting programs), and simple, efficient inventory management.

Our main goal has always been, and always will be, to put the customer first. We work closely with them to create products that further simplify their businesses. We are innovative and committed to improving the operations of small and medium-sized enterprises not only in the Czech Republic but also beyond its borders

Job Description

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 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

Qualifications

• 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

Additional Information

The 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

All CVs and supporting documents must be submitted in English.