A leading global payments and financial technology organisation is seeking a Senior Data Engineer to join a high-performing data engineering team focused on building scalable analytics and data platform solutions.
About the Role
This role offers the opportunity to work on large-scale data initiatives, leveraging both cloud and on-premise technologies to deliver analytics products, data pipelines, and business-critical insights. You will collaborate closely with engineering, product, and business stakeholders to design and implement innovative data solutions in a fast-paced, technology-driven environment.
Responsibilities
Design, develop, and maintain scalable big data platforms and analytics solutions.
Build and optimise data pipelines, workflows, and processing frameworks.
Lead the design and implementation of complex data engineering initiatives and features.
Develop high-quality, efficient, and well-tested code.
Create and maintain data models that support scalable analytics products.
Work with large structured and unstructured datasets to enable reporting and advanced analytics.
Collaborate with product managers, engineers, and business stakeholders to translate requirements into technical solutions.
Support the development and enhancement of cloud-based data platforms.
Mentor junior engineers and contribute to engineering best practices.
Drive continuous improvement across development processes, tooling, and delivery methodologies.
Participate in architecture discussions and contribute to long‑term technical strategy.
Qualifications
6+ years of experience in Data Engineering, Big Data, or Data Platform development.
Required Skills
Strong programming experience with Python, Scala, or Java.
Hands-on experience with:
Hadoop ecosystem
SQL
Hive, Impala, NiFi, Airflow, or similar technologies
Experience designing and building enterprise-scale data pipelines and processing frameworks.
Strong understanding of data modelling and analytics platforms.
Experience working with cloud data technologies, including:
Databricks (preferred)
Snowflake
Experience working within Agile software development environments.
Strong analytical and problem‑solving skills.
Excellent communication skills with the ability to work across technical and business teams.
Preferred Skills
Experience with Airflow workflow orchestration.
Exposure to machine learning pipelines and advanced analytics solutions.
Experience with modern software development technologies such as:
React / TypeScript
Previous experience within financial services, payments, fintech, or other highly regulated industries.
Experience leading technical initiatives and mentoring engineers.
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