🌍 About the Company

The client is an established FinTech software provider with more than 25 years of experience delivering banking technology to regulated financial institutions. Its product ecosystem covers core banking, digital onboarding, multi-currency accounts, payments, compliance, and AML. The company’s platforms support international banking and payment operations, including connectivity to infrastructure such as SEPA, Faster Payments, Bacs, T2 and CENTROlink. The business serves international clients and forms part of a larger global technology group.

💼 About the Role

As Data Engineer – Banking & Payments, you will build and improve the data infrastructure behind account, transaction, payment and customer data flows. Your work will help teams access reliable data for operational processes, reconciliation, reporting, compliance, risk, and product development.

This is a hands-on engineering role with scope to influence data architecture, standards, and platform priorities. You will work closely with product, engineering, data, compliance, finance, and operations specialists to turn complex financial data requirements into dependable production solutions.

🔍 Responsibilities

• Design, build, and operate scalable data pipelines for banking, payment, customer, and transactional data;

• Develop batch, streaming, and real-time data processes that support business-critical financial systems;

• Integrate data from core banking applications, payment infrastructure, internal services, and external providers;

• Create reliable data models and datasets for operational reporting, reconciliation, compliance, risk, finance, and analytics;

• Improve ETL and ELT workflows with clear standards for testing, deployment, monitoring, and documentation;

• Introduce automated controls for data quality, lineage, consistency, and observability;

• Optimise data platform performance, reliability, scalability, and infrastructure costs;

• Work with product and business teams to translate operational requirements into maintainable data solutions;

• Apply security, privacy, governance, and auditability principles throughout the data lifecycle;

• Contribute to data architecture decisions, engineering standards, technical reviews, and knowledge sharing.

🎓 Requirements

• At least 3 years of experience building and operating production-grade data pipelines or platforms;

• Strong Python and SQL skills for data processing, automation, transformation, and integration;

• Experience working with batch, streaming, or event-driven data workloads;

• Practical knowledge of ETL or ELT patterns, data modelling, data warehousing, and data lake architectures;

• Experience with at least one major cloud environment or modern cloud data platform;

• Ability to design reliable integrations between databases, APIs, applications, and external systems;

• An engineering mindset focused on data quality, testing, security, monitoring, and maintainability;

• Professional English and the ability to work effectively with technical and business stakeholders.

Nice to Have

• Experience with tools such as Spark, Databricks, Airflow, dbt, Kafka, or comparable technologies;

• Knowledge of banking, payments, transaction processing, reconciliation, or regulated financial services;

• Familiarity with SEPA, SWIFT, ISO 20022, CENTROlink, Open Banking, or card payment ecosystems;

• Experience with infrastructure as code, containerisation, CI/CD, or data platform observability;

• Exposure to data products supporting AML, regulatory reporting, risk, finance, analytics, or machine learning.

✨ The Employer Offers

• Meaningful ownership of data solutions supporting core banking and payment infrastructure;

• The opportunity to influence data architecture, engineering standards, and platform development;

• Work with complex transactional data used in regulated financial operations;

• Exposure to banking, payments, reconciliation, compliance, and financial reporting use cases;

• International scope across clients, partners, products, and implementation projects;

• Close collaboration with experienced product, engineering, compliance, finance, and operations specialists;

• The stability and reach of an established financial technology provider within an international group.

If you enjoy solving complex data problems and want your work to support financial systems used in everyday banking and payments, apply and help build a dependable data foundation for the client’s next stage of development.