Senior Data Engineer

Join the team. Make an impact.

At Holded, we believe that daily admin should never stop a great idea from becoming a success. That's why we create intuitive software to empower anyone who dares to start their own business. Long story short: we want to make business simple.

In order to create cutting-edge products that meet the needs of the sector, talent is essential. We are looking for passion, creativity, and commitment. In return, we offer the same.

We are seeking a highly skilled Data Engineer to join our team. You will play a crucial role in enhancing and administering our data infrastructure and implementing solutions that drive business intelligence and analytics. You will implement scalable data solutions that support business intelligence and analytics, working collaboratively with engineering teams and stakeholders to ensure data quality, compliance, and accessibility.

Key Responsibilities:

• Optimize and enhance data workflows and processes to improve efficiency and effectiveness.

• Implement solutions to ensure compliance with relevant data protection standards and regulations.

• Collaborate with cross-functional teams to establish robust data governance practices.

• Develop and maintain complex data models to support strategic business initiatives.

• Oversee and enhance the data infrastructure.

• Manage the data platform.

• Define and execute a long-term strategy for data architecture.

• Facilitate data ingestion and transformation processes to enable seamless data integration.

• Provide support and resources to enable team members to create comprehensive reports and analytics.

• Assist in delivering essential data for advanced analytics and machine learning initiatives.

• Independently deliver medium to large-scale features.

• Establish and promote best practices for code maintainability and performance.

Optimize and enhance data workflows and processes to improve efficiency and effectiveness.

Implement solutions to ensure compliance with relevant data protection standards and regulations.

Collaborate with cross-functional teams to establish robust data governance practices.

Develop and maintain complex data models to support strategic business initiatives.

Oversee and enhance the data infrastructure.

Manage the data platform.

Define and execute a long-term strategy for data architecture.

Facilitate data ingestion and transformation processes to enable seamless data integration.

Provide support and resources to enable team members to create comprehensive reports and analytics.

Assist in delivering essential data for advanced analytics and machine learning initiatives.

Independently deliver medium to large-scale features.

Establish and promote best practices for code maintainability and performance.