Senior Data Platform Engineer (#5647)
N-iX ·
- Work mode
- Remote
- Seniority
- Senior
- Category
- Data engineering
N-iX ·
Ensono · Bengaluru, India; Chennai, India; Hyderabad, India; Pune, India
Gemini · New York, New York; Miami, Florida; Remote (USA)
DATAPAO · Spain
Architect and maintain a hybrid cloud data platform (AWS + GCP/BigQuery) for a European fintech, building data lakes, pipelines, IAM, and observability to power analytics and AI transformation.
We're looking for a Senior Data Platform Engineer to architect and operate data infrastructure across the client's hybrid cloud (AWS + GCP).
Our client is a fast-growing European fintech company in the business spend management space — corporate cards and related financial products — serving SME and mid-sized business customers across the EU and UK, in a regulated environment with GDPR compliance obligations. Engineering is organized into cross-functional squads, with platform/enabling teams providing shared tooling horizontally.
The client is currently in an AI transformation phase, transitioning to Agentic AI Development, and is seeking a Senior Data Platform Engineer to support this transformation. They run a hybrid cloud setup: AWS-first overall, with GCP (BigQuery as primary data warehouse) for data platform and analytics workloads. The Data Platform Engineer will set up and maintain the data infrastructure (data lakes, pipelines, IAM, observability, cost optimisation) that Data Engineers then use to operate on data. Work is expected to be a mix of existing codebase and new functionality.
Responsibilities:
Architect and operate data infrastructure across hybrid cloud (AWS + GCP).
Design data lakes; orchestrate pipelines (e.g. Airflow).
Manage IAM/access management and cost optimisation.
Maintain observability across the data platform.
Work with both BigQuery and AWS data lake patterns (Athena, S3, Glue).
Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.
Embed directly into a client squad as a hands-on Individual Contributor (not a coaching/managerial role).
Requirements:
Hybrid cloud: AWS and GCP.
Data lake design.
Orchestration, e.g. Airflow.
IAM/access management.
Cost optimisation.
Observability.
BigQuery and AWS data lake patterns (Athena, S3, Glue).
Python.
Nice to have:
Terraform.
Familiarity with fintech-specific domains such as fraud/AML, transaction monitoring, and regulatory compliance.