Data Engineering Lead

hace 24 horas


Madrid, Madrid, España Ebury A tiempo completo

Competitive salary: $100,000 - $120,000 per year.
Ebury's strategic growth plan relies heavily on our Data team. We are seeking a Senior Data Engineer to join our Data Platform Engineering team in Madrid.
About the Role:
Our data mission is to develop and maintain Ebury's Data Warehouse and serve it to the whole company. This involves building ETLs and data pipelines to provide clean, transformed data ready for analysis and used by our BI tool.
We are looking for a skilled Senior Data Engineer with a strong focus on building and optimising data platforms to join our growing team.
In this role, you will be responsible for developing, enhancing, and maintaining robust frameworks and best practices to support our analytics and ML initiatives.
You will work closely with data analysts and other engineering teams to ensure our data platform is scalable, secure, and efficient.
About Our Technology Stack:
We use Google Cloud Platform as our main Cloud provider, Apache Airflow for orchestration, Docker for delivering software in containers, and dbt for data transformation. Other tools include Looker and Looker Studio for BI, Github for code management, Jira for project management, and Synq for data observability.

Responsibilities:
Establish performance monitoring to track the speed and efficiency of data processing and analysis, and address bottlenecks or slowdowns as needed.
Participate in data modelling reviews and discussions to validate the model's accuracy, completeness, and alignment with business objectives.
Work on reducing technical debt by addressing code that is outdated, inefficient, or no longer aligned with best practices or business needs.
Help to implement data governance policies, including data quality standards, data access control, and data classification.
Collaborate with data scientists, analysts, and stakeholders to understand data requirements and translate them into platform capabilities.
Automate data ingestion, transformation, testing and integration processes to enhance data accessibility and data quality.
Evaluate and integrate new data tools and technologies to continuously improve the platform's capabilities.
Create and maintain detailed documentation on platform architecture, data flows, and operational processes.
Requirements:
3+ years of experience as a Data Engineer or in a similar role.
Proficiency in SQL and python.
Experience with modern data stack tools (a plus).
Familiarity with dimensional modelling/data warehousing concepts.
Basic understanding of data governance practices.
Experience with software engineering practices in data.
Attention to detail and commitment to data quality.
Familiarity with English language.


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