Ofertas de empleo en Ebury

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada29 oct.

Python TSQL Cloud Coumputing REST Fintech Office

Ebury is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions. Since our founding in 2009, we´ve grown to a diverse team of over 1,700 professionals across 40+ offices and 29+ markets worldwide. Joining Ebury means becoming part of a collaborative and innovative environment where your contributions are valued. You´ll play a key role in shaping the future of cross-border finance, while advancing your own career in a dynamic, high-growth industry.

Data Platform Architect

Madrid Office - Hybrid: 4 days in the office, 1 day working from home

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 a Data Platform Architect to join our Data 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 a Data Platform Architect, you will work closely with the rest of the team to help model and maintain the Data Platform.

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:
- Lead the architectural design, development, and maintenance of a robust and scalable data platform, setting the highest technical standards for solutions consumed across the company.
- Align with senior stakeholders and leadership to define the technical strategy for data, articulating complex technical trade-offs and ensuring platform roadmaps meet defined business requirements.
- Serve as a recognized expert and the go-to person for complex problem-solving within the data domain, overseeing multiple workstreams and delivering impactful projects.
- Proactively seek to enhance our data stack with industry trends and champion innovation within the team to elevate our data capabilities.
- Technically lead large-scale data initiatives, identifying opportunities to reduce complexity, improve reliability, and enhance efficiency.
- Establish and enforce data governance policies, setting the standard for data quality and security while mentoring other engineers to uphold these best practices.
- Mentor other engineers within the domain, unblocking their delivery through technical support and contributing to a positive team culture.

About you:
- Proficiency in Python for data transformation and validation
- Proficiency in SQL for querying and managing large datasets, as well as extensive experience working with structured and unstructured data sources.
- Deep expertise in data engineering and modelling skills such as slowly changing dimensions and dimensional modelling.
- Graph database modelling encouraged.
- Event driven architecture data modelling encouraged.
- Extensive, hands-on experience with data warehousing, data lakes, and cloud platforms, including leading the architectural design and strategic implementation of data solutions at scale.
- Demonstrated ability to technically lead large-scale projects, align senior stakeholders on technical strategy, and present complex proposals to leadership.
- Proven track record of mentoring engineers and setting technical standards within a team.
- Deep experience with GCP (Google Cloud Platform) tools and services, such as BigQuery, Cloud Run, and Cloud Functions.
- Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills.
- 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.

You can also connect with me on LinkedIn - Gabriella Cheston

#LI-GC2

#LI-HYBRID

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada29 oct.

Python TSQL Cloud Coumputing REST Fintech Big Data Office

Ebury is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions. Since our founding in 2009, we´ve grown to a diverse team of over 1,700 professionals across 40+ offices and 29+ markets worldwide. Joining Ebury means becoming part of a collaborative and innovative environment where your contributions are valued. You´ll play a key role in shaping the future of cross-border finance, while advancing your own career in a dynamic, high-growth industry.

Data Architect

Málaga Office - Hybrid: 4 days in the office, 1 day working from home

Join Our Data Team at Ebury Málaga Office.

Ebury´s strategic growth plan would not be possible without our Data team and we are seeking a Data Architect to join our Data 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 a Data Architect, you will work closely with the rest of the team to help model and maintain the Data Platform.

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 model´s 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:
- 8-12+ years of data/analytics engineering experience building, maintaining & optimising data pipelines & ETL processes on big data environments
- Proficiency in Python and SQL
- Knowledge of software engineering practices in data (SDLC, RFC...)
- Stay informed about the latest developments and industry standards in Data
- Fluency in English
- Experience with our modern Data stack tools is a plus
- Dimensional modelling/data warehousing concepts knowledge is a plus
- Spanish speaking skills is 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.