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- Tasks: Join our Data Team to build and optimize data platforms for analytics and ML initiatives.
- Company: Ebury is a top European FinTech firm, recognized for its rapid growth and innovative solutions.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and a diverse culture.
- Why this job: Be part of a collaborative team driving impactful data solutions in a fast-paced industry.
- Qualifications: 3+ years as a Data Engineer, proficient in SQL and Python, with a focus on data quality.
- Other info: We encourage all applicants, including those needing work permits, to apply!
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Platform Engineer
Ebury is a hyper-growth FinTech firm named in 2021 as one of the top 15 European Fintechs to work for by AltFi. We offer a range of products including FX risk management, trade finance, currency accounts, international payments, and API integration.
Join Our Data Team at Ebury.
Ebury’s strategic growth plan would not be possible without our Data team, and we are seeking a Senior Data Engineer to join our Data Platform Engineering team!
Our data mission is to develop and maintain Ebury’s 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.
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.
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.
- Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.
Experience and qualifications
- 3+ years of experience as a Data Engineer or in a similar role.
- Proficiency in SQL and Python.
- Experience with our 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.
- Fluency in English (Spanish a plus).
Even if you don’t meet every requirement listed, we encourage you to apply—your skills and experience might be a great fit for this role or future opportunities!
We welcome applications from candidates who require a work permit. For non-EU/EEA nationals, the company may assist with the work permit process depending on individual circumstances.
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.
Hard work pays off; in 2019, Ebury received a 350 million investment from Banco Santander and has won internationally recognised awards including Financial Times 1000 Europe’s Fastest-Growing Companies.
Please submit your application on the careers website directly uploading your CV / resume in English.
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Senior Data Platform Engineer, Málaga employer: Jordan martorell s.l.
Contact Detail:
Jordan martorell s.l. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Engineer, Málaga
✨Tip Number 1
Familiarize yourself with Ebury's data stack and tools. Research the specific technologies they use and be prepared to discuss how your experience aligns with their needs during the interview.
✨Tip Number 2
Highlight your experience in building and optimizing data platforms. Be ready to share specific examples of how you've improved data processing efficiency or implemented best practices in your previous roles.
✨Tip Number 3
Demonstrate your understanding of data governance and quality standards. Prepare to discuss how you have previously ensured data accuracy and compliance in your projects.
✨Tip Number 4
Show your collaborative spirit! Be ready to talk about how you've worked with cross-functional teams, especially data scientists and analysts, to translate data requirements into actionable insights.
We think you need these skills to ace Senior Data Platform Engineer, Málaga
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Data Platform Engineer position. Understand the key responsibilities and required skills, such as proficiency in SQL and Python, and how your experience aligns with these requirements.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that match the job description. Emphasize your background in data engineering, your familiarity with data warehousing concepts, and any experience with modern data stack tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Ebury's mission. Mention specific projects or achievements that demonstrate your ability to build and optimize data platforms.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any grammatical errors or typos. A polished application reflects your attention to detail, which is crucial in a data-focused role.
How to prepare for a job interview at Jordan martorell s.l.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Highlight specific projects where you've built or optimized data platforms, and be ready to explain the technical challenges you faced and how you overcame them.
✨Understand Data Governance
Familiarize yourself with data governance practices, as this role emphasizes the importance of data quality standards and access control. Be ready to discuss how you've implemented or adhered to these practices in your previous roles.
✨Collaborate and Communicate
Ebury values collaboration across teams. Prepare examples of how you've worked with data scientists, analysts, or other stakeholders to understand their data needs and translate those into actionable platform capabilities.
✨Demonstrate Problem-Solving Skills
Expect questions about how you've addressed performance bottlenecks or technical debt in past projects. Share specific instances where your problem-solving skills led to improved data processing efficiency or enhanced data accessibility.
