Senior Data Engineer (Data & Analytics)

The Role As a Senior Data Engineer, you will design, build, and optimize the data pipelines and models. You’ll focus on ingestion, transformation, modelling, quality, and data reliability — ensuring that downstream consumers (analytics, services, UI, AI) can depend on trusted, well-structured data. You’ll work closely with backend engineers, product teams, data operations, and architects to design data flows that are scalable, observable, and resilient.

This role is deeply hands-on and focused on data engineering excellence. Key Responsibilities: · Design and implement robust batch and streaming data pipelines. · Develop and maintain ingestion frameworks for broker feeds and third-party data sources. · Build and optimize data transformation workflows (ETL/ELT). · Design scalable data models (warehouse/lakehouse patterns). · Implement data quality validation, reconciliation, and monitoring. · Contribute to metadata, lineage, and governance frameworks. · Optimize performance and cost of data processing workflows. · Improve reliability through observability, testing, and automated monitoring. · Collaborate with backend and platform engineers to define data contracts and interfaces. · Mentor engineers in best practices for data engineering and modelling. Essential Criteria · Strong experience building production-grade data pipelines at scale. · Deep understanding of data modelling (warehouse, lake, semantic layers). · Experience with distributed data processing and orchestration frameworks. · Strong SQL and data transformation skills. · Experience designing data quality frameworks and validation processes. · Understanding of data architecture patterns (batch vs streaming, medallion architecture, etc.). · Strong debugging and performance optimization skills. · Experience working in cloud-native data environments (preferably AWS, but other major cloud platforms are acceptable). · Experience designing testing strategies for data pipelines. · Experience with data workflow orchestration tools (e.g., Temporal, Airflow). · Familiarity with financial or regulatory datasets – financial trading data experience will be a particular advantage. · Exposure to semantic modelling, governance, or metadata management.

What We Offer · A chance to work on genuinely interesting and important problems at scale. · A collaborative, supportive culture that values curiosity, integrity, and technical excellence. · The opportunity to influence architecture, tooling, and future direction. · A team of smart, humble, mission-driven people who care about our goals and about each other. · A modern, cloud-native tech stack and the freedom to bring your engineering voice to the table.