Senior Data Engineer (Data & Analytics)

The Role

As a Senior Data Engineer, you will design, build, and optimize the data pipelines and models. Youll focus on ingestion, transformation, modelling, quality, and data reliability ensuring that downstream consumers (analytics, services, UI, AI) can depend on trusted, well-structured data. Youll 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.