Data Engineer

hace 4 días


Madrid, Madrid, España Ebury A tiempo completo

About our Team
Ebury's strategic growth plan relies heavily on the expertise of our Data team. We are seeking a skilled Senior Data Engineer to join our Data Engineering team. Our data mission is to develop and maintain Ebury's Data Platform, serving it to the whole company where Data Scientists, Data Engineers, Analytics Engineers, and Data Analysts collaborate to build end-to-end solutions.

About our Technology
We utilize Google Cloud Platform as our main cloud provider, Apache Airflow and dbt Cloud for orchestration tools, Docker as PaaS to deliver software in containers, and Cloud Build for CICD. Additionally, we leverage dbt for data modeling and warehousing, Looker and Looker Studio for Business Intelligence/dashboarding, GitHub for code management, and Jira for project management. Other third-party tools include Hevodata, MonteCarlo, Synq, and more.

About the Role
As a Senior Data Engineer, you will work closely with the team to model and maintain the Data Platform. Key requirements include 3+ years of experience in data/analytics engineering, proficiency in Python and SQL, knowledge of software engineering practices in data, and fluency in English. Familiarity with our modern Data stack tools, dimensional modeling/data warehousing concepts, and Spanish language are advantageous.

Responsibilities
You will be mentored by an outstanding performance team member along a customized development plan. You will participate in data modeling reviews and discussions to validate the model's accuracy, completeness, and alignment with business objectives. Responsibilities include designing, developing, deploying, and maintaining ELT/ETL data pipelines from various data sources. Hands-on delivery of data models using solid software engineering practices is also essential. Pipeline orchestration using Airflow, execution using GCP hosted services, and reducing technical debt by addressing outdated or inefficient code are additional responsibilities. Collaboration with team members to reinforce best practices across the platform is crucial.

About the Offer
Benefits include a competitive salary range of $130,000-$160,000 per annum, depending on experience, a 30/60/90-day mentorship program, participation in data modeling reviews and discussions, design and development of ELT/ETL data pipelines, hands-on delivery of data models, pipeline orchestration, reduction of technical debt, and collaboration with team members. A healthy work-life balance is ensured through a hybrid schedule of 4 days in the office and 1 day working from home.



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