Senior Data Engineer

Job Description

REQUIREMENTS

• 6+ years in data engineering.
• GCP, BigQuery, Airflow, Python—or the equivalent at comparable scale. 
• A fintech, trading, or compliance-heavy background is a strong plus. You know the difference between handling PII in a textbook and handling it when auditors are checking your work. Experience with warehouse cost optimisation and containerised data platforms rounds out the picture.

Tech Stack

• Cloud & Warehouse: GCP, BigQuery
• Orchestration: Airflow
• Languages: Python, SQL
• Transformation: dbt / Dataform
• Streaming: Kafka, Pub/Sub
• Practices: CI/CD, version-controlled pipelines, peer review, AI-assisted development

RESPONSIBILITES

Build pipelines that are governed by design

• Design and build ETL/ELT pipelines across batch and real-time workloads using AI-assisted development—reducing build time without cutting reliability
• Bake in observability from the start: freshness checks, completeness monitoring, schema drift detection, lineage tracking, and alerting. Not retrofitted after launch
• Implement automated data quality checks and anomaly detection into every pipeline—governance built in, not bolted on

Own data accuracy before anyone has to ask

• Identify and resolve data issues before they surface to analysts or stakeholders
• Define and maintain data contracts: SLAs, SLOs, schema agreements, and producer-consumer alignment
• Handle PII, access control, and auditability correctly in a regulated financial environment

Make the platform better than you found it

• Optimise warehouse performance and cost—query efficiency, partitioning, clustering, orchestration reliability
• Build data models designed to scale beyond the immediate use case: dimensional modelling, semantic layers, reusable abstractions
• Spot gaps in the data platform and address them without waiting to be assigned

Raise the bar for the team

• Partner with analysts, product, finance, and compliance teams to translate requirements into reliable, governed data products
• Peer-review pipeline code and push quality standards higher across the team
• Help onboard new engineers—share context, catch mistakes early, make others productive faster

Are you interested in this position?

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

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