Senior Data Platform Engineer — Remote & Lakehouse

Keyrock; Dubai; On-site; AED 420,000 - 700,000; Full time

Job summary

Keyrock is building a Central Data Team to empower real time analytics across trading desks, wealth and asset management. You’ll help design and implement a data platform to ingest, store, and serve data with governance and reliability at the core.

You will design streaming/batch pipelines, leverage a lakehouse and time-series stores, and work with Docker, Terraform, CI/CD to ship resilient data products for multiple teams.

Qualifications

• 8+ years of building production data systems that other people rely on.
• Strong proficiency in Python and SQL: not just writing a query, but understanding engine behavior.
• Code should be readable, testable, and maintainable.
• Strong data modelling for streaming and analytical workloads.
• Prioritises efficiency, quality, idempotency, and observability.

Responsibilities

• Build streaming and batch pipelines ingesting market, trading, and portfolio data; resilient to feed/exchange failures.
• Develop self-serve tooling (SDKs, patterns, templates, AI agents) for data product publishing and consumption.
• Own data contracts and schema evolution to avoid multi-team coordination issues.
• Design lakehouse and time-series layer around consumer query patterns.
• Build and evolve Data Governance and Data Quality Framework.
• Create derived analytics for desks, wealth, and asset management; monitor cost and performance.
• Treat infrastructure as code (Docker, Terraform, CI/CD) with Central Infrastructure Team.
• Collaborate across Architecture, Infrastructure, Platform and other teams.

Skills

Python

SQL

Data modelling

Observability

Readable code

Tools

Kafka

Redpanda

MSK

Kinesis

ClickHouse

TimescaleDB

Docker

Terraform

CI/CD

Job description

Keyrock is building a Central Data Team to empower real time analytics across trading desks, wealth and asset management. You’ll help design and implement a data platform to ingest, store, and serve data with governance and reliability at the core.

You will design streaming/batch pipelines, leverage a lakehouse and time-series stores, and work with Docker, Terraform, CI/CD to ship resilient data products for multiple teams.