Data Engineer: BI & Analytics Platform (Hybrid) in Dartford

Data Engineer: BI & Analytics Platform (Hybrid) in Dartford

Dartford Full-Time 45000 - 55000 Β£ / year (est.) No working from home possible
Jefferson Frank

At a Glance

  • Tasks: Design and maintain data pipelines and BI platforms for impactful decision-making.
  • Company: Join Jefferson Frank, a leader in tech recruitment with a focus on innovation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and international project exposure.
  • Other info: Dynamic role with opportunities for growth and collaboration with stakeholders.
  • Why this job: Be at the forefront of data engineering and make a real difference in analytics.
  • Qualifications: Experience with ETL, SQL, Python, and Azure data services is essential.

The predicted salary is between 45000 - 55000 Β£ per year.

Jefferson Frank is recruiting a Data Engineer for a hybrid role in Dartford.

You will design and maintain data pipelines and BI platforms, collaborating with stakeholders to deliver scalable data solutions that support critical decision-making.

The role emphasizes ETL, SQL, Python and Azure data services, with exposure to BI reporting and data architecture. A hybrid model and international project exposure are on offer.

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Data Engineer: BI & Analytics Platform (Hybrid) in Dartford employer: Jefferson Frank

Join a leading UK manufacturing and supply-chain organisation that is at the forefront of digital transformation. With a strong commitment to employee development, you will have access to competitive salaries and opportunities to enhance your IT and Data management skills in a collaborative and dynamic work environment. Located in Surrey, this hybrid role offers the chance to engage with diverse stakeholders while contributing to innovative solutions that drive business success.

Jefferson Frank

Contact Details:

Jefferson Frank Recruitment Team

We think you need these skills to ace Data Engineer: BI & Analytics Platform (Hybrid) in Dartford

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