Senior Data Engineer

• 5+ years of relevant experience in data engineering, data analysis, data warehouses, or data lakes.

• Strong experience with relational database technologies (Oracle SQL & PL/SQL, Postgres, or similar RDBMS).

• Experience with Snowflake, Dataverse, AWS RDS, Azure, or other cloud data-warehousing services.

• Deep expertise in data movement technologies (ETL/ELT) and experience with Control-M and schedulers, plus Python and shell scripting.

• Proven experience understanding multi-functional enterprise data and navigating between business analytics needs and data.

• Self-motivated and effective when working within a team delivery model.

• Excellent organisational and communication skills.

• Demonstrated history of collaborating in teams to deliver high-quality data solutions in a multi-developer global environment, following design and coding best practices.

• Outstanding SQL capabilities and experience performing deep data analysis across multiple database platforms.

• Ability to develop ELT/ETL pipelines to move data to and from Snowflake using a combination of Python and Snowflake SnowSQL.

• Knowledge of data modelling techniques and best practices (relational, dimensional), and prior experience with data modelling tools

• Prior experience with data ingestion toolsets (e.g., Apache NiFi, Kafka) is advantageous.

• Experience with APIs, Python, and PowerApps is advantageous.

• Experience in data architecture (database design, performance optimisation).

• Experience working with data in Jira, Jira Align, or the Workforce Connect domain is a plus.

Cpl Group