CloudSmiths is looking for a Senior Data Engineer to join our cloud-driven ecosystem.
This role is integral to the design, development, and maintenance of scalable and reliable data solutions
You will lead technical teams and implement data-driven projects within an Agile environment, ensuring high-performance deliverables for our clients.
The Tech Stack: We don’t settle for legacy. We leverage modern, industry-leading tooling to stay ahead of the curve:
- Deep mastery of Azure, Databricks, and PySpark.
- Apache Airflow for orchestration.
- Architecting Data Lakehouses and warehouses using Delta, Parquet, and Avro.
- Advanced Python and SQL (PostgreSQL/SQL Server).
- Seamless API/Microservices integration and Git-driven version control.
Experience Required:
- We’re looking for proven impact: 5+ years of progressive data engineering and cloud computing experience.
- A track record of leading technical teams and mentoring talent.
- You already know the nuances of Kimball vs. Inmon and when to normalize or go NoSQL.
- Experience managing multi-shore projects and navigating complex SaaS/PaaS ecosystems.
Why CloudSmiths?Why join us?
- Because we provide the playground for your best work to happen.
- 100% Impact: With a 100% billability model, every hour you spend is dedicated to high-value, high-visibility client results.
- We don't just "maintain"; we assess and integrate new data sources to meet rapidly evolving business needs.
- You’ll work alongside a practice that values technical design assistance and peer-to-peer coding excellence.
- Work on diverse projects that span across internal and external international clients.
Ready to build the future of data? Let’s talk
Skills Required
- 5+ years of data engineering and cloud computing experience
- Experience leading technical teams and mentoring talent
- Knowledge of Kimball vs. Inmon and NoSQL
- Experience managing multi-shore projects
What We Do
CloudSmiths is a technology consultancy specialising in data analytics, machine learning, software development, AI and business reporting in the cloud.








