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We are seeking a Senior Data Engineer to handle requests end-to-end, from technical analysis to production deployment and user support, with a high level of autonomy. You will contribute to the industrialization of data processes and collaborate closely with business stakeholders in an agile environment.
Responsibilities
- Participation in business workshops to refine requirements depending on data sources
- Write SQL queries to feed datasets or validate data
- Pipeline management and monitoring
- Contribute to the industrialization of data processes with DBT and Python jobs
- Maintenance, bug fixing and continuous improvement of reports in production
- Dashboard and dataset monitoring along with alert setup
- Collaborate with other team members on Snowflake layers
- Rigorous management of JIRA tickets and continuous documentation
- Handle UAT feedback and Level 1 user support
- Active participation in the agile team without a Scrum Master
Requirements
- Minimum 3 years of experience with a Bachelor's to Master's degree in Computer Science, Data or related field
- Proficiency in SQL including view creation and query optimization
- Expertise in Azure Data Factory, Snowflake and DBT
- Skills in Python for occasional scripts, data prep or APIs
- Knowledge of monitoring techniques including auto-refresh and anomaly detection
- Familiarity with Git, JIRA and Confluence
- Strong communication and listening skills with business stakeholders
- Proactive in analysis and identifying optimization opportunities
- Attention to detail, clear documentation and proactive request management
- Autonomy in managing business needs, feedback and validations
- Agile mindset and initiative-taking
- Interest in cross-functional work and taking responsibility
- Appetite for industrial and heterogeneous data environments
- English proficiency at B2 level or higher
Nice to have
- Familiarity with Power BI including DAX, M and performance tuning
- Capability to use Databricks