Data Engineer: Cloud Pipelines & Impact (Flexible)

Data Engineer: Cloud Pipelines & Impact (Flexible)

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Solirius Ltd.

At a Glance

  • Tasks: Design and develop data pipelines for analysis and machine learning.
  • Company: Solirius Ltd., a forward-thinking tech company.
  • Benefits: Flexible working, competitive salary, and opportunities for professional growth.
  • Other info: Exciting projects in a dynamic environment await you.
  • Why this job: Join a team of experts and make an impact with your data skills.
  • Qualifications: Experience in data engineering and collaboration with teams.

The predicted salary is between 63000 - 77000 Β£ per year.

Solirius Ltd. is seeking an experienced Data Engineer to design, develop, and maintain data pipelines and systems enabling data analysis and machine learning.

You will collaborate with data scientists, analysts, and stakeholders to ensure data quality and reliability.

You will work as part of a team delivering exciting projects with technology experts, designing data models, pipelines, and storage solutions across relational, non-relational, and cloud databases.

#J-18808-Ljbffr

Data Engineer: Cloud Pipelines & Impact (Flexible) employer: Solirius Ltd.

At Solirius Reply, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work culture, empowering our employees to innovate and grow. With a strong focus on employee development, we offer generous benefits such as private healthcare, flexible working arrangements, and dedicated training days, all while working on impactful projects for high-profile clients. Located in a vibrant area, our team enjoys a supportive environment that values diversity and encourages meaningful contributions to both public and private sectors.

Solirius Ltd.

Contact Details:

Solirius Ltd. Recruitment Team

We think you need these skills to ace Data Engineer: Cloud Pipelines & Impact (Flexible)

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