onsite
Data Engineer - Mourant
Data Engineer
Data Engineer needed to design, build, and deploy enterprise‑scale analytics solutions, leveraging Python, SQL, ETL pipelines, and cloud data platforms such as Snowflake and Azure.
About the role
Key Responsibilities
- Design and implement scalable data pipelines and ETL processes to ingest, transform, and load data from multiple sources.
- Develop and maintain data models, data warehouses, and data marts using Snowflake and Azure services.
- Collaborate with data analysts, scientists, and business stakeholders to translate requirements into robust data solutions.
- Automate workflow orchestration and scheduling with Apache Airflow, ensuring reliability and performance.
- Monitor, troubleshoot, and optimize data pipelines for efficiency, data quality, and security.
Requirements
- Strong proficiency in Python and SQL for data manipulation and scripting.
- Hands‑on experience building ETL pipelines and working with data warehousing concepts.
- Familiarity with cloud data platforms, preferably Snowflake and Azure (Data Lake, Synapse, etc.).
- Experience with workflow orchestration tools such as Apache Airflow.
- Ability to work collaboratively in a cross‑functional team and communicate technical concepts clearly.
Skills
pythonsqlsnowflakeazure