
Ecolab
Ecolab is looking for a Sr Data Engineer based in Barcelona, Spain to join the Analytics and Digital Solutions Team in support of Global Supply Chain. If you’re a passionate professional seeking growth and a rewarding career, we invite you to apply. This is an excellent opportunity to join a recognized global company offering competitive compensation, benefits, and significant career advancement.
What You’ll Do
As a technical lead, you’ll drive continuous improvements in our digital capabilities and advanced analytics. You’ll lead the development of new digital products, providing critical insights to solve business challenges. A key part of your role will be enhancing data utilization across the organization through improved processes, governance, and data management. We’re looking for someone passionate about building a strong data foundation and adopting modern data architecture for current and future analytical needs.
Key Responsibilities
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Lead data initiatives: Serve as a liaison among stakeholders to analyze and define data requirements for reporting and business process changes.
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Manage data infrastructure: Proactively manage Snowflake and SQL databases and analytical data models.
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Drive data excellence: Develop, test, and tune semantic models for enterprise reporting, ensuring compliance with IT security requirements.
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Advance data architecture: Lead the adoption of modern data architecture and identify opportunities to solve business problems with state-of-the-art solutions.
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Perform reverse engineering: Analyze and understand existing complex data structures and processes to facilitate migrations, integrations, or improvements.
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Foster best practices: Mentor peers on implementing and improving our data management and governance framework across technologies like Microsoft Power BI, Snowflake, Microsoft Azure, and on-premise data points.
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Promote Agile methodologies: Champion and follow SCRUM/Agile frameworks.
What You’ll Need
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Experience:
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6+ years in a data engineering, analytics, or business intelligence role.
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Proficiency in ETL data engineering, data modelling, master data management, data governance, and end-to-end data lineage documentation.
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Strong experience with cloud data warehouses, specifically Snowflake, and the Azure Platform (SQL Server, Logic Apps, App Services, Data Factory, Power BI including pipelines, Lakehouse, and Warehouse).
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Advanced SQL skills (cursors, triggers, CTEs, procedures, functions, external tables, dynamic tables, security roles) and Python (object-oriented programming, handling JSON/XML).
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Experience with medallion data architecture framework.
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At least 2 years of Agile/Scrum project management experience, including data requirements gathering and project ownership.
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Skills: Exceptional analytical and problem-solving abilities.
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Education: A Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Information Technology, or Engineering is preferred.
Bonus Points If You Have
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Experience working in applications within supply chain, especially procurement domain.
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Proven ability to manage and deliver multiple projects simultaneously in a dynamic environment.
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Experience creating, implementing, and continuously improving processes.
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Familiarity with data science areas like time series analysis, forecasting, classification, and regression analysis.
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Experience with ERP systems (SAP preferred).
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Demonstrated ability to collaborate effectively with global cross-functional teams and individuals with varying technical expertise.
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Developed cloud hosted applications.
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Have experience with PySpark (ETL).
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Have experience with source control (GIT).
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Apply now
Apply now
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