Sales Analytics Data Engineer – Pipelines & BI

Hp Scds; León; Hybrid; EUR 60,000 - 86,000; Full time

Job summary

Hp Scds in Spain seeks a Data Engineer to join the Sales Operations & Business Analytics team. This role blends data engineering with business insight to support strategic initiatives in sales, forecasting, and performance analytics.

You will design scalable data pipelines, collaborate with BI and data owners, and embed within a Data Engineering team to deliver value. The ideal candidate has strong Python and SQL skills, experience with Databricks, ETL/ELT development, and data modeling.

Qualifications

• Strong analytical and problem-solving mindset.
• Experience communicating with both technical and non-technical audiences.
• Experience gathering and translating business requirements.
• Stakeholder management and collaboration skills.
• Passion for delivering business value through data.

Responsibilities

• Partner with business and technical stakeholders to understand data and analytics requirements.
• Serve as the technical point of contact for Sales Operations data initiatives.
• Design, develop, and maintain data pipelines and integrations using Databricks and modern data engineering practices.
• Connect and integrate data from various enterprise systems into centralized analytics platforms.
• Ensure data quality, reliability, and consistency across reporting and analytical solutions.
• Collaborate with cross-functional teams to translate business needs into scalable technical solutions.
• Contribute to the continuous improvement of data architecture, governance, and engineering standards.
• Work on high-impact initiatives that influence business decisions.

Skills

Python

SQL

Databricks

ETL / ELT Development

Data Modeling

Job description

Hp Scds in Spain seeks a Data Engineer to join the Sales Operations & Business Analytics team. This role blends data engineering with business insight to support strategic initiatives in sales, forecasting, and performance analytics.

You will design scalable data pipelines, collaborate with BI and data owners, and embed within a Data Engineering team to deliver value. The ideal candidate has strong Python and SQL skills, experience with Databricks, ETL/ELT development, and data modeling.