Data Engineering Team Lead
il y a 4 semaines
Conexus has partnered with a globally recognised client in the Fashion & Apparel industry. We are currently seeking a talented and experienced Data Engineering Team Lead to oversee the data engineering operations. In this role, you will be responsible for managing a high-performing team, ensuring seamless data integration, and preparing our data platform for future advancements in AI and Data Science.
Key responsibilities:
- Lead, mentor, and manage a data engineering team, fostering accountability and delivering high-quality datasets on time and within budget.
- Ensure the smooth operation of the Snowflake lakehouse, optimize data pipelines, and integrate data from diverse sources (POS, OMS, 3PL, WMS).
- Work with the Master Data, Product Owner, and Dataviz teams to deliver data solutions that meet business goals. Implement data quality standards and prioritize tasks based on impact and urgency.
- Drive innovation, prepare the platform for future AI and Data Science integrations, and lead process improvements.
Technical skills required:
- ETL Tools: Experience with Matillion (Cloud) and DBT.
- Cloud Platform: Proficient in Snowflake on Microsoft Azure.
- Languages: Strong in SQL and Python.
- Data Visualization: Familiar with QlikSense.
- Methodology: Agile and Kanban experience.
What you will have:
- Engineering degree or equivalent with at least 7 years of experience as a Data Engineer, including 2+ years of experience managing a data engineering team.
- Proven ability to deliver large-scale data engineering solutions in complex environments.
- Strong understanding of data integration, pipeline management, and cloud platforms, with a focus on Snowflake.
If you're interested in hearing more about the above, apply now.
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