Position Overview

We are seeking a technically proficient Fintech Financial Data Engineer to develop and maintain data pipelines supporting financial reporting, transaction analytics, operational monitoring, and business intelligence. The successful candidate will help transform raw financial data into reliable, structured datasets that can be used by analysts, product teams, finance professionals, and risk specialists.

This role requires a strong foundation in data engineering, database technologies, and data quality management. You will work with software engineers, analysts, and business stakeholders to build scalable data workflows while maintaining accuracy, traceability, and appropriate security controls.

Key Responsibilities

• Design, build, and maintain data pipelines that collect financial information from internal applications and external service providers.

• Develop data transformation workflows for payment transactions, account records, settlement information, and operational reporting.

• Implement validation rules to identify missing records, duplicate transactions, inconsistent identifiers, and data anomalies.

• Optimise SQL queries and data models to improve pipeline performance and reporting efficiency.

• Integrate data from APIs, relational databases, event streams, and other approved data sources.

• Monitor pipeline execution and investigate failures, processing delays, and data inconsistencies.

• Collaborate with data analysts and business intelligence teams to deliver datasets that meet reporting requirements.

• Maintain documentation covering data lineage, transformation logic, pipeline dependencies, and recovery procedures.

• Apply appropriate access controls and data protection measures when handling sensitive financial information.

• Contribute to automated data testing, workflow orchestration, and improvements to data platform reliability.

Candidate Requirements

• A degree or equivalent practical experience in Data Engineering, Computer Science, Software Engineering, or a related discipline.

• Experience building or maintaining data pipelines and working with structured datasets.

• Strong SQL skills and familiarity with relational databases such as PostgreSQL or Microsoft SQL Server.

• Experience with Python or another programming language used for data processing.

• Understanding of ETL/ELT processes, data modelling, and data quality validation.

• Familiarity with workflow orchestration tools such as Airflow or comparable platforms.

• Exposure to cloud data services, data warehouses, or distributed processing technologies is advantageous.

• Understanding of financial transactions, payment data, or reconciliation workflows is beneficial.

• Strong troubleshooting skills, attention to detail, and a commitment to maintainable technical solutions.

• Awareness of GDPR, data governance, and secure handling of financial information.

Technical Environment

The role may involve Python, SQL, relational databases, cloud data platforms, API integrations, ETL/ELT pipelines, automated data testing, and workflow orchestration tools.

Why This Opportunity?

You will help build the data infrastructure that supports better financial reporting, operational visibility, and data-driven product development. The position offers opportunities to grow in data platform engineering, financial analytics infrastructure, and large-scale fintech systems.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!

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