L1 Data Engineer - Remote

About the role

We are seeking a motivated L1 Data Engineer to join our growing Data & Analytics team. You will design, build, and maintain the data architecture that supports our organization’s data strategy, working hands‑on with cloud‑native platforms.

Key responsibilities

• Design, develop and maintain scalable data pipelines and ETL/ELT workflows for BI and analytics.
• Build and optimise data ingestion processes using Azure Data Factory and Databricks.
• Transform large datasets with PySpark and Python, ensuring performance and maintainability.
• Write and optimise complex SQL queries for reporting and data validation.
• Collaborate with data architects and senior engineers on data models and standards.
• Monitor, troubleshoot and resolve pipeline failures and data‑quality issues.
• Document pipelines, data dictionaries and engineering standards.
• Explore new tools and approaches to continuously improve the data infrastructure.

Required profile

• 2+ years of professional experience in data engineering or a closely related role.
• Strong proficiency in Python for data processing and automation.
• Hands‑on experience with Pandas, PySpark and Databricks notebooks.
• Experience building pipelines with Azure Data Factory.
• Working knowledge of Azure Synapse Analytics and Spark pool integration.
• Solid SQL skills, including query optimisation.
• Understanding of data‑lake architecture, Delta Lake and data‑governance concepts.

Required skills

• Python
• Pandas
• PySpark
• Databricks
• Azure Data Factory
• Azure Synapse Analytics
• SQL
• Delta Lake
• Data governance and security in cloud platforms
• Terraform (nice‑to‑have)
• CI/CD for data engineering (nice‑to‑have)
• Delta Sharing / Lakehouse Federation (nice‑to‑have)