Data Platform Engineer

CELLPOINT

At CellPoint Digital, we’re revolutionizing the way businesses in the air, travel, and hospitality sectors manage their payments.

Our leading payment orchestration platform helps some of the world’s leading brands make payments simpler, smarter and profitable- from improving payment experience and maximizing approval rates, to reducing costs and unlocking new opportunities.

But technology is only part of the story. It’s our people who make the difference.

We’re a global team of innovators, problem-solvers and ambitious professionals who care about the work we do and the impact we have. We work across borders, functions and cultures, bringing different perspectives together to solve complex problems and deliver meaningful results for our customers.

The Role

Youll help develop and evolve our data platform, working closely with Engineering, Analytics, AI, Product and business teams to deliver reliable, secure and scalable data solutions.

• Build and scale data pipelines: Design, develop and optimise reliable, production-ready data pipelines and platform services.

• Develop modern data architecture: Contribute to our data warehouse and lakehouse capabilities using cloud technologies.

• Own production reliability: Monitor performance, troubleshoot issues and improve platform stability and efficiency.

• Enable innovation: Build the foundations for analytics, reporting, machine learning and AI.

• Champion data quality and security: Support data governance, compliance and engineering best practices.

• Collaborate across teams: Translate business requirements into effective technical solutions.

What were looking for

• 4+ years experience in Data Engineering, Platform Engineering or Backend Engineering, with a strong focus on data.

• Expert-level SQL skills and a solid understanding of data modelling, including dimensional modelling.

• Hands-on experience building, deploying and maintaining production data pipelines.

• Experience with modern cloud data platforms such as Snowflake or BigQuery.

• Working knowledge of Google Cloud data services, ideally including Dataflow, Datastream, Dataform and Pub/Sub.

• Experience with AWS, GCP or Azure and Infrastructure as Code tools such as Terraform.

• Familiarity with workflow automation, production monitoring, troubleshooting and reliability.

• Strong communication and collaboration skills.

Skills you will have fine-tuned

• Python, dbt and analytics engineering.

• Machine learning infrastructure, feature stores or vector databases.

• Data governance and cataloguing tools such as DataHub, Atlan or Unity Catalog.

• Kubernetes and containerised data workloads.

• Graph data, entity resolution or large-scale unstructured datasets.

• Regulated environments and compliance frameworks such as SOC 2, GDPR, HIPAA or FedRAMP.

• Contributions to open-source projects or data engineering communities.

Whats in it for you:

We offer you the opportunity to be an innovator, challenge the status quo, and redefine the payments category

Competitive salary in a fast-growing start-up

Opportunity for personal and professional growth in a dynamic industry

Work from anywhere in the world; were a fully distributed company, and we provide the tools, culture, and support to make your work setup work for you

What makes CellPoint Digital a leader in the payment landscape isn’t just our technology - it’s our people and how we work together. We’ve built a global community where diverse talents and perspectives unite to create innovative solutions. When you join us, you become part of something bigger: a collaborative culture that crosses borders and disciplines, bringing out the best in every team member to deliver breakthrough results for our clients and partners.

Together, we are transforming the payments industry - challenging, supporting, and inspiring one another in the process.

Please note, we retain applicant data for 12 months for recruitment purposes and future opportunities, after which it is securely deleted. At CellPoint Digital we are committed to be globally compliant with robust data protection.