Hybrid Senior Data Engineer β€” Snowflake & Pipelines

Hybrid Senior Data Engineer β€” Snowflake & Pipelines

Full-Time 60000 - 75000 Β£ / year (est.) No working from home possible
Ampstek

At a Glance

  • Tasks: Design and implement scalable data analytics solutions and build robust data pipelines.
  • Company: Ampstek, a forward-thinking company focused on data-driven solutions.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Work closely with business and tech teams to drive impactful decisions.
  • Why this job: Join a dynamic team and shape the future of data analytics in a collaborative environment.
  • Qualifications: Experience in data engineering, Snowflake, and strong problem-solving skills.

The predicted salary is between 60000 - 75000 Β£ per year.

Ampstek is seeking an experienced Data Platform Architect to design and implement enterprise-grade data analytics solutions.

The role focuses on building scalable pipelines, metadata management, and data quality tooling to support business decisions.

Hybrid work arrangement with two days in client office and three days remote, requiring collaboration with business and technology teams to align platforms with strategic goals and ensure performance.

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Hybrid Senior Data Engineer β€” Snowflake & Pipelines employer: Ampstek

Ampstek is an excellent employer that fosters a collaborative and innovative work culture in the vibrant city of Cardiff. With a strong focus on employee growth, we offer continuous training and development opportunities, ensuring our team members can thrive in their careers while contributing to meaningful logistics solutions. Our commitment to enhancing efficiency in logistics processes not only benefits our clients but also creates a rewarding environment for our employees to make a real impact.

Ampstek

Contact Details:

Ampstek Recruitment Team

We think you need these skills to ace Hybrid Senior Data Engineer β€” Snowflake & Pipelines

Data Platform Architecture
Snowflake
Pipeline Development
Metadata Management
Data Quality Tooling
Scalable Solutions
Collaboration Skills