We are looking for Data Engineers to join the team of our client – a reference company in the financial sector.
Responsibilities
Building vital data pipelines and tooling to future-prove the back-office business domain;
Developing the company's Data Platform, adding new data sources and transformations in response to new business requirements;
Continually improving the platform, adopting new technologies and patterns as they become available;
Building internal tooling to support the company's migration into data platforms;
Continue migrating the existing platform into our Lakehouse.
Requirements
Bachelor's degree in IT, Computer Science, Engineering, Data Science, or related field;
Minimum 02 years of experience in data engineering roles;
Experience working with Python in a data engineering capacity and with SQ;
Experience in building and deploying containerised applications on Kubernetes;
Familiarity with Snowflake, DBT and building DAGs with Apache Airflow;
Knowledge in AWS or other public cloud experience, infrastructure-as-code tooling such as Terraform;
Experience working in end-to-end delivery teams and with a Data Mesh strategy;
Fluency in English (both written and spoken).
Sounds like you?
Send us your CV and let's talk!
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