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Urgent! Data Engineer - Fintech, hibrido Job Opening In Madrid – Now Hiring Ebury
Data Engineer - Fintech
Ebury is a leading global fintech company that empowers businesses to trade and grow internationally.
It offers a comprehensive suite of products, including international payments and collections, FX risk management, trade finance, and API integrations.
Founded in 2009 by Juan Lobato and Salvador García, Ebury is one of the fastest-growing global fintechs, with over 1,700 employees and 38 offices in more than 25 countries.
Data Engineer - Fintech
Madrid Office - Hybrid: 4 days in the office, 1 day working from home
Join Our Data Team at Ebury Madrid Office.
Eburys strategic growth plan would not be possible without our Data team and we are seeking a Data Engineer to join our Data Engineering team!
Our data mission is to develop and maintain Eburys Data Warehouse and serve it to the whole company, where Data Scientists, Data Engineers, Analytics Engineers and Data Analysts work collaboratively to:
- Build ETLs and data pipelines to serve data in our platform
- Provide clean, transformed data ready for analysis and used by our BI tool
- Develop department and project specific data models and serve these to teams across the company to drive decision making
- Automate end solutions so we can all spend time on high-value analysis rather than running data extracts
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:
- Be mentored by one of our outstanding performance team member along a 30/60/90 plan designed only for you
- Participate in data modelling reviews and discussions to validate the models accuracy, completeness, and alignment with business objectives.
- Design, develop, deploy and maintain ELT/ETL data pipelines from a variety of data sources (transactional databases, REST APIs, file-based endpoints).
- Serve hands-on delivery of data models using solid software engineering practices (eg.
version control, testing, CI/CD)
- Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer), as well as execution using GCP hosted services such as Container Registry, Artifact Registry, Cloud Run, Cloud Functions, and GKE.
- Work on reducing technical debt by addressing code that is outdated, inefficient, or no longer aligned with best practices or business needs.
- Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.
- Help to implement data governance policies, including data quality standards, data access control, and data classification.
- Identify opportunities to optimise and refine existing processes.
About you:
- 3+ years of data/analytics engineering experience building, maintaining optimising data pipelines ETL processes on big data environments
- Proficiency in Python, SQL and Airflow
- Knowledge of software engineering practices in data (SDLC, RFC...)
- Stay informed about the latest developments and industry standards in Data
- Fluency in English
If youre excited about this job opportunity but your background doesnt 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.
#LI-CG1
About Us
Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector.
Founded in 2009, we are headquartered in London and have more than 1700 staff with a presence in more than 25 countries worldwide.
Cultural diversity is part of what makes Ebury a special place to be.
From Sao Paulo to Dubai, Bucharest to Toronto, we enjoy sharing team experiences and celebrating success across the Ebury family.
ETL, data, BI
✨ Smart • Intelligent • Private • Secure
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Madrid, Spain (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Madrid, Spain using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 98972 jobs in Spain and 29980 jobs in Madrid. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Ebury is currently hiring and seeking a Data Engineer Fintech, hibrido to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Engineer Fintech, hibrido Jobs Madrid.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Ebury adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Fintech, hibrido Jobs Spain varies, but the pay scale is rated "Standard" in Madrid. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer Fintech, hibrido typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Data Engineer Fintech, hibrido interview at Ebury, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Ebury's products or services and be prepared to discuss how you can contribute to their success.
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