Cloud Data Engineer
Why join International Personal Finance?
At IPF, our purpose is to build a better world through financial inclusion, and we play a crucial role in society helping people who are often financially excluded to access simple, personal, and affordable finance and a variety of great value home, medical and life insurance to help them and their families.
If you work for us, you’ll be joining a truly international team of 22,000 people working in 9 countries, and across 3 continents, who are driven to build a better world for our customers.
Our culture is focused on doing what’s right for our customers, colleagues, and communities. Join us, and you will be empowered to develop yourself within a business that’s exciting, fast-moving, and inspiring.
Here at IPF we offer a vibrant and fast-moving environment with a continuous and stimulating pipeline of business change. We support a complex technology landscape within a cutting-edge cloud ecosystem where you will directly and positively influence its evolution and enhancement.
Cloud Data Engineer
We are seeking a skilled and forward-thinking Cloud Data Engineer to play a key role in transforming our data landscape as we migrate from SQL Server to Snowflake on AWS. The successful candidate will be responsible for designing, developing, and maintaining secure, scalable data pipelines that leverage medallion architecture to enable efficient data flow and accessibility across the organisation. This role is critical in supporting the execution of our global data strategy, ensuring that our data systems are optimised for performance and aligned with business objectives.
You will work closely with stakeholders and cross-functional teams to build robust data solutions, tackling complex challenges and contributing to the implementation of cutting-edge technologies. Your expertise in Snowflake and cloud data engineering will be instrumental in driving operational efficiency, innovation, and a culture of data-driven decision-making across the organisation.
Join us on this exciting journey to redefine how we manage and utilise our data, shaping the foundation for future success. This is your opportunity to be at the heart of a global transformation, delivering impactful solutions that support our vision of becoming a truly data-led enterprise.
About the role
At IPF, the Cloud Data Engineer plays a vital role in shaping and orchestrating the organisation’s data assets to unlock their full potential. Central to this role is the implementation of medallion architecture, which structures data into curated layers—bronze, silver, and gold—to ensure clarity, consistency, and readiness for consumption. By building and optimising data pipelines, the Cloud Data Engineer ensures that raw data is transformed into meaningful, high-quality datasets that can drive strategic decision-making across the organisation.
The role involves designing and maintaining scalable, secure data workflows that streamline the migration from on-premises SQL Server environments to Snowflake on AWS. Through innovative solutions, the Cloud Data Engineer enables efficient data processing, while ensuring governance, compliance, and alignment with IPF’s global data strategy. Their work directly supports the seamless flow of data to business users and data consumers, empowering them to harness actionable insights for operational excellence and innovation.
Collaboration is at the heart of the role, with the Cloud Data Engineer working closely with data architects, governance leads, and analytics teams. By delivering clean, accessible data, they create the foundation for advanced analytics, reporting, and data-driven initiatives. This is a unique opportunity to influence the organisation’s journey towards becoming a data-led enterprise, making data a strategic asset that drives sustained growth and success.
Your day-to-day activities are likely to include the following:
- Design, develop, and maintain data pipelines to ensure seamless and efficient data migration from on-premise SQL Server to Snowflake on AWS, enabling secure, scalable, and reliable data storage that supports advanced analytics and reporting needs,
- Implement and manage data integration processes to unify data from multiple sources within Snowflake, ensuring high data quality, consistency, and accessibility, which drives accurate, timely insights for business users across the organisation,
- Optimise Snowflake performance by enhancing query speeds, data load times, and storage efficiency, ensuring that the data platform remains fast, responsive, and capable of handling high data volumes, which supports the organisation’s operational and analytical requirements,
- Enforce data security and compliance measures by applying best practices in data encryption, access controls, and adherence to relevant regulatory standards, ensuring sensitive information remains protected and compliant throughout the migration and within Snowflake,
- Collaborate with data scientists, analysts, and key stakeholders to gather and understand data requirements, aligning Snowflake infrastructure and solutions with business needs and fostering cross-team communication to deliver reliable and actionable data,
- Evaluate and recommend complementary tools and technologies that enhance Snowflake’s capabilities, keeping the data platform adaptable and current with evolving cloud technologies to ensure the organisation maximises the value of its cloud infrastructure,
- Lead migration efforts from on-premise to cloud-based infrastructure, coordinating with the Global Data Engineering Lead to establish timelines and address migration challenges, ensuring a smooth transition with minimal business disruption,
- Document and maintain data infrastructure processes and standards within the Snowflake platform to ensure knowledge sharing, consistency, and ease of maintenance, supporting long-term operational stability and team efficiency.
What are we looking for?
- Extensive Experience with Cloud Data Platforms: The ideal candidate will have significant experience with Snowflake and SQL-based data warehouses, particularly in designing and managing cloud-based data architectures. A deep understanding of ETL processes, data pipeline design, and AWS cloud infrastructure is essential. This expertise should translate into the ability to develop secure, scalable, and efficient data solutions that drive organisational goals,
- Proven Expertise in Data Migration: We are seeking someone with a strong track record in supporting or leading data migrations, especially transitioning from on-premise SQL Server environments to cloud-based platforms like Snowflake. This experience should demonstrate an ability to manage complex migrations while maintaining data integrity and performance,
- Experience with Medallion Architecture: A strong understanding of medallion architecture principles is crucial. The candidate should demonstrate expertise in designing and implementing layered data structures (bronze, silver, gold layers) to ensure data reliability, scalability, and accessibility for analytics and business use cases,
- Data Integration and Optimisation Skills: The candidate should possess robust experience in integrating data from multiple sources into a centralised platform, with a solid grasp of data modelling, transformation, and management principles. The ability to optimise data systems for speed, scalability, and reliability—combined with knowledge of query optimisation and performance enhancement techniques within Snowflake—is a key requirement,
- Strong Understanding of Data Security: Familiarity with best practices for securing cloud-based systems, including encryption, access control, and compliance with regulatory standards, is critical. The candidate will ensure data security is upheld across all workflows and architectures,
- Excellent Communication and Stakeholder Engagement: Exceptional communication skills are essential, as the candidate will work with both technical and non-technical stakeholders to translate complex data processes into actionable insights. Collaboration with data architects, governance leads, and analytics teams is vital for success,
- Proactive Problem-Solving and Innovation: The successful candidate will demonstrate a methodical approach to identifying issues, troubleshooting problems, and designing innovative, long-term solutions. They should be able to foresee potential challenges and implement proactive strategies to address them effectively,
- Desirable Qualifications: A bachelor’s degree in Computer Science, Information Systems, or a related field is preferred. Certifications in Snowflake, AWS, or similar cloud platforms, as well as experience working in multi-market or global environments, will be highly valued.
What can we offer you?
The culture at IPF is driven by our shared values. People are put first, we access differences and encourage individuality. Due to our flat business structure, we enjoy collaborating together.
- opportunity to have a performance based annual bonus,
- home office 3 times a week,
- cafeteria, life insurance,
- health insurance service,
- laptop, mobile,
- stable background with local and international presence,
- meaningful work - Contribute to shaping a sustainable future and making a real difference,
- professional growth - Join a dynamic team dedicated to continuous learning and development, with opportunities to lead and innovate;
- inclusive culture - Be part of a diverse and inclusive work environment that values and respects every team member.
- Terület
- IT
- Terület
- IT Infrastructure
- Munkavégzés helye
- Budapest Központi Iroda
- Munkaidő
- teljes munkaidő
- Munkarend
- Hibrid munkavégzés
Cloud Data Engineer
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