BI Data Engineer: Build Pipelines, Dashboards & Insights in Dartford

BI Data Engineer: Build Pipelines, Dashboards & Insights in Dartford

Dartford Full-Time 35000 - 42000 Β£ / year (est.) No working from home possible
Parkside Recruitment

At a Glance

  • Tasks: Design ETL pipelines, build dashboards, and turn data into actionable insights.
  • Company: Join a forward-thinking recruitment firm with a focus on innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with cross-departmental teamwork.
  • Why this job: Shape a modern BI platform and make a real impact on decision-making.
  • Qualifications: Experience in data engineering and proficiency in Power BI.

The predicted salary is between 35000 - 42000 Β£ per year.

Parkside Recruitment is looking for a Business Intelligence Data Engineer to join an in-house IT team, shaping a modern BI platform that supports critical decision making.

You will design and maintain ETL pipelines, build dashboards with Power BI, refine data models and KPIs, and work with stakeholders to turn data into insight.

The role covers the full BI lifecycle, including data governance, reporting, and documentation, with collaboration across Finance, Sales and Operations.

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BI Data Engineer: Build Pipelines, Dashboards & Insights in Dartford employer: Parkside Recruitment

Parkside Recruitment is an excellent employer that values its employees by fostering a supportive and dynamic work culture in Ruislip. With opportunities for professional growth and development, the company encourages a proactive approach to work, ensuring that every team member feels valued and empowered. The unique blend of a fast-paced environment and a focus on employee well-being makes it a rewarding place to build your career.

Parkside Recruitment

Contact Details:

Parkside Recruitment Recruitment Team

We think you need these skills to ace BI Data Engineer: Build Pipelines, Dashboards & Insights in Dartford

SQL
Python
Data Pipeline Development
Problem-Solving Skills
Data Engineering
Communication Skills
API Integration