Data Platform Engineer | Early-Stage Financial Services Firm| TWE46293

An early-stage technology company developing next-generation data platforms for highly regulated industries.

The team is building a greenfield platform from the ground up, giving engineers the opportunity to shape both the technology and engineering culture as the business grows.

Role

As the Data Platform Engineer, you will take ownership of the organisation's core data platform, ensuring data is accurate, traceable, and readily available across the business.

You'll play a key role in designing and developing modern ingestion pipelines, scalable data infrastructure, and evidence capabilities that underpin analytics, reporting, and regulatory requirements.

You’ll join a small, highly collaborative engineering team where you will take ownership of major components of the platform and help establish the technical foundations as the business scales.

This is a high-autonomy role with significant influence over architecture, engineering standards, and the future direction of the platform.

Working closely with engineering and product teams, you will help build resilient data services with a strong focus on quality, observability, and operational excellence.

Responsibilities

• Design and implement end-to-end data ingestion pipelines using modern event streaming technologies across cloud and on-premise environments.
• Develop and maintain a scalable event lakehouse with strong data quality, lineage, and schema management.
• Build validation, reconciliation, and idempotency processes to ensure data integrity.
• Develop evidence and audit capabilities to support complete traceability of data flows.
• Implement monitoring, alerting, data freshness checks, and operational dashboards.
• Collaborate with engineering and product teams to deliver reliable, replayable datasets.
• Support AI-assisted data quality workflows and anomaly detection processes where appropriate.
• Continuously improve platform resilience, retention strategies, backup processes, and data accessibility.
• Key Skills
• Strong experience building large-scale data ingestion and event streaming platforms.
• Expertise with technologies such as Kafka, Azure Event Hubs, or similar messaging platforms.
• Experience developing cloud-native and hybrid data pipelines.
• Strong understanding of lakehouse architectures and distributed data processing frameworks such as Spark.
• Experience with data modelling, schema evolution, lineage, and governance.
• Hands-on experience implementing data validation, reconciliation, and quality controls.
• Familiarity with observability tools such as Open Telemetry or similar monitoring platforms.
• Experience building operational dashboards and monitoring solutions.
• Understanding of secure data access, retention, backup, and disaster recovery principles.
• Exposure to AI-assisted monitoring or intelligent data quality workflows would be advantageous.
• Opportunity to shape the architecture of a business-critical enterprise data platform.
• Join early and influence the technical direction of a greenfield product.
• High levels of ownership within a small, collaborative engineering team.
• Work with modern cloud, streaming, and data engineering technologies.
• Solve complex data engineering challenges with real business impact.
• Competitive salary and comprehensive benefits package.
• Next Steps
• If you are interested, please apply below or reach out directly isaac. salem@twentyai. com
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