Senior BI Engineer β€” End-to-End Data Pipelines (Hybrid)

Senior BI Engineer β€” End-to-End Data Pipelines (Hybrid)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
EasyPark

At a Glance

  • Tasks: Lead data strategy and build data pipelines to enhance analytics capabilities.
  • Company: EasyPark, a forward-thinking company focused on urban mobility.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and data excellence.
  • Why this job: Make a real impact on urban mobility through data-driven insights.
  • Qualifications: 5+ years in BI or Data Engineering with strong Python and SQL skills.

The predicted salary is between 60000 - 80000 Β£ per year.

EasyPark is seeking a Senior BI Engineer to lead data strategy in London (SE1). This hybrid role requires expertise in building data pipelines and enhancing analytics capabilities across the organization.

As a critical team member, you will design, maintain, and optimize data flows, collaborating with stakeholders to meet business requirements.

You should hold a strong foundation in Python and SQL, alongside 5+ years in BI or Data Engineering.

The position offers an exciting opportunity to impact urban mobility through data-driven insights.

Senior BI Engineer β€” End-to-End Data Pipelines (Hybrid) employer: EasyPark

EasyPark is an exceptional employer that prioritises innovation and collaboration, making it an ideal place for professionals passionate about cloud security. With a strong commitment to employee growth, we offer extensive training opportunities and a supportive work culture that values teamwork and creativity. Located in a vibrant tech hub, our team enjoys a dynamic environment that fosters both personal and professional development.

EasyPark

Contact Details:

EasyPark Recruitment Team

We think you need these skills to ace Senior BI Engineer β€” End-to-End Data Pipelines (Hybrid)

Data Pipeline Development
Analytics Capabilities Enhancement
Python
SQL
Data Engineering
Stakeholder Collaboration
Data Flow Design