Senior Data Engineer designing and optimizing data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. Working closely with clients to deliver scalable solutions.
About the role
- Senior Data Engineer responsible for overseeing data ingestion and delivery at Kpler. Leading engineering best practices and collaborating with teams on client-facing data solutions.
Responsibilities
- Own the design, delivery, and reliability of platform capabilities that ingest and deliver data at scale.
- Lead complex, high-impact initiatives that support critical business outcomes.
- Shape engineering best practices across data ingestion, governance and distribution.
- Partner closely with other teams to improve developer experience and platform adoption.
- Contribute to client-facing solutions and data access features that enable customers to reliably consume Kpler’s data.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 5+ years of professional experience in software engineering and/or data engineering roles, with sustained ownership of production systems.
- Demonstrated experience building, operating, and evolving data ingestion pipelines (batch and/or streaming) for analytics platforms.
- Strong hands-on proficiency in Java/Scala, Python and SQL, with solid data modelling fundamentals.
- Proven experience in software and systems design, applying best practices for performance, testability, maintainability, and operational robustness.
- Strong database and analytics warehouse fundamentals, including schema and table design for analytical workloads, query performance concepts, and practical experience with Snowflake or equivalent cloud data warehouses.
- Demonstrated ownership of non-functional requirements, making sound engineering decisions that balance system design, technical debt, reliability, observability, and business needs.
- Solid DataOps and operational ownership mindset, including running production data services, implementing observability (metrics, logs, alerts), and improving reliability through automation and standard practices.
- Experience working with cloud platforms (AWS), including operating data platforms and services in modern environments.
- Exposure to deploying and operating services using Kubernetes and CI/CD pipelines, including GitOps-style workflows with PR-based deployments, environment promotion, and reproducible releases.
- Track record of delivering well-designed, maintainable systems and owning reliability and observability for production workloads.
Benefits
- Kpler is committed to providing a fair, inclusive and diverse work-environment.
- We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community.
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