DATA ENGINEER
Descrição da oferta de emprego
We want to become Europe’s go-to software solution for these businesses, simplifying their every day and helping them reconnect with the joy of running their business.
Teya was born in and is home to over employees in 15+ countries.
We've built a fast-paced, energetic, and innovative environment that is dedicated to bringing the best solutions to customers.
Job Description Your Rol e 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 upgrades to some of our legacy data solutions for our organisation.
This includes the collection, storage, and analysis of large data sets from multiple companies, as well as the integration of data into business processes and systems.
Along with working in a strong Data Engineering team on building a world class scalable Data Platform.
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 Implement automation on a a legacy ETL system Build, Maintain and improve Data models Data warehouse design on complex data sets Qualifications Your Story Strong SQL skills At least 3 years experience in relevant field.
(Data Analytics, Analytics Engineering, Data engineering) ETL tooling (DBT, SSIS, Wherescape etc.) Familiarity with data modelling, data warehousing, and data pipeline design Strong understanding of data structures, algorithms, and software engineering principles Experience with Python Additional Information The Perks We trust you, so we offer flexible working hours, as long it suits both you and your team; Health Insurance; Meal Allowance; 25 days of Annual leave (+ Bank holidays); Public Transportation Card; Frequent team events & activities in the office and outside; Office snacks every day; Friendly, comfortable and informal office environment.
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Detalhes da oferta
- Indeterminado
- 25/10/2024
- 23/01/2025
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