## job description# data engineer (python, sql, etl, snowflake)we are seeking a *data engineer* to join our customer intelligence team supporting a leading telecommunications client. This role focuses on building and optimizing *etl pipelines*, developing *stored procedures*, and supporting data integration and transformation within a *snowflake-based data ecosystem*.the ideal candidate has strong experience with *python* and *sql*, hands-on knowledge of *etl frameworks*, and familiarity with *version control* and *data orchestration tools*. Candidates with foundational snowflake skills are welcome — the project allows for *upskilling and snowflake badge acquisition ahead of onboarding*.* design, develop, and maintain *data pipelines and etl processes* to support customer analytics and intelligence initiatives.* write and optimize *sql queries, stored procedures*, and data transformations within snowflake and related environments.* develop *python-based automation scripts* for data ingestion, validation, and processing.* collaborate with business and technical teams to understand data requirements and translate them into scalable solutions.* support *job orchestration* and workflow automation (airflow or equivalent scheduling tools).* ensure code quality through proper use of *version control (git, gitlab)* and documentation.* monitor, troubleshoot, and optimize etl workflows for performance and reliability.* participate in agile ceremonies, code reviews, and cross-team collaboration within the customer intelligence group.* strong proficiency in *python* for data processing, scripting, and automation.* advanced *sql* skills, including query tuning and stored procedure development.* hands-on experience with *etl frameworks* and data transformation pipelines.* familiarity with *snowflake* (basic to intermediate; upskilling supported).* experience with *version control systems* (git, gitlab, or similar).* understanding of *job orchestration tools* (airflow or equivalent).* strong analytical, troubleshooting, and communication skills.* english proficiency (b2+ level) for collaboration with international teams.- *3–6 years* of experience as a *data engineer* or *etl developer* in enterprise data environments.* experience using *airflow* for workflow scheduling and orchestration.* familiarity with *flyway* or other database migration/versioning tools.* background in *telecommunications*, *customer analytics*, or *data intelligence* projects.* experience working with *data warehouses* and *cloud data platforms*. #j-18808-ljbffr