Senior Data Engineer

Financefair

Senior Data Engineer at Financefair ensuring data excellence and improving management insights in a growing fintech company. Involves building and automating ETL/ELT pipelines and data architecture.

Posted 7/5/2026full-timeDublin • 🇮🇪 IrelandSeniorWebsite

Tech Stack

Tools & technologies

AWSETLPythonSparkSQL

About the role

Key responsibilities & impact

Play a key role in ensuring that data and operational excellence prevails across all aspects of the business
Work on improving management insights (MI) and contributing to the development of the company’s data architecture
Build, automate and monitor ETL/ELT pipelines using AWS services (EventBridge, Step Functions, Glue, Lambda, S3)
Build ingestion pipelines that pull data from external APIs into the data lake, enriching and linking it with banking data
Perform data discovery and reverse-engineer reports from legacy systems then design the data structures needed to replace them in the modern platform
Develop interactive Amazon QuickSight dashboards backed by complex SQL models
Automate customer and funder statement generation via Amazon Athena
Build and maintain Management Information (MI) dashboards
Partner with product, engineering, credit, and finance teams to identify process improvements, recommend system changes, and shape data governance policy
Own and prioritise the reporting-infrastructure backlog alongside the Product Owner

Requirements

What you’ll need

Degree in a business, technical, or quantitative discipline
6+ years in a data analytics or data engineering role
Advanced SQL skills, including building data models that power BI/reporting tools
Strong hands-on experience with core AWS data services: Glue, Lambda, Step Functions, EventBridge, S3, Athena
Proven experience building and monitoring production ETL/ELT pipelines, including reconciliation and validation
Proficient in Python and Spark, with hands-on experience processing and optimizing large scale data volumes
Experience with Amazon QuickSight (or a comparable BI tool) for dashboard and report development
Experience integrating third-party APIs into a data lake and a solid grasp of data lake design principles
Experience working in Agile/product-led environments, managing a backlog with a Product Owner
Strong communication skills, with a track record of working directly with non-technical stakeholders
Experience in querying unstructured data (e.g., nested and repeated fields, JSON)

Benefits

Comp & perks

Competitive salary with performance related bonus opportunity
A contributory pension scheme with life assurance and other insurances
A contribution to a healthcare plan of your choice or gym membership
A company who invests in the learning and development of its people
A great team with a good sense of fun

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Hard Skills & Tools

ETL/ELT Pipeline DevelopmentAdvanced SQLPythonSparkData ModelingData DiscoveryData Structure DesignAPI IntegrationData ProcessingData Validation

Soft Skills

Strong Communication SkillsCollaboration with Non-Technical Stakeholders