Analytics Engineer

Analytics Engineer

Join Our Data Team at Ebury Madrid Office.

Ebury's strategic growth plan would not be possible without our Data Team and we are seeking an Analytics Engineer to join our Analytics Engineering team!

Our data mission is to develop and maintain Ebury's Data Platform and serve it to the whole company, where Data Scientists, Data Engineers, Analytics Engineers and Data Analysts work collaboratively.

As an Analytics Engineer, you will be an integral part of our data team. You will work closely with the rest of the team to help model and maintain the Data Platform. This role also encompasses important responsibilities in quality assurance, data governance, and promoting best practices to ensure that data-related processes are efficient, secure, and adhere to industry standards, specifically within the Regulatory Reporting domain.

What We Offer:

• Competitive salary and benefits package
• Discretionary bonus based on performance
• Continued personal development through training and certification
• We are open source friendly, following open source principles in our internal projects and encouraging contributions to external projects

Responsibilities:

• Gather requirements from the business and define an action plan to execute them.
• Work on projects end to end, from definition to delivery.
• Serve hands-on delivery of data models using solid software engineering practices (eg. version control, testing, CI/CD)
• Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.
• Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer).
• Design, develop, deploy and maintain ELT/ETL data pipelines from a variety of data sources (transactional databases, REST APIs, file-based endpoints).
• Contribute to and promote best practices for query development, version control, code review, documentation, and testing.

About You:

• 3-5 years of data/analytics engineering experience building, maintaining & optimising data pipelines & ETL processes on big data environments
• Proficiency in SQL
• Mid-Level experience with Python
• Experience with our modern data stack tools (a plus!) We use dbt, Google Cloud Platform (BigQuery, DataStudio), Looker
• Familiarity with dimensional modelling/data warehousing concepts
• Experience with software engineering practices in data
• Attention to detail and commitment to data quality
• Fluency in English (Spanish, a plus)

If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have.