Data Engineer: Lakehouse Pipelines & Real-Time Analytics

Data Engineer: Lakehouse Pipelines & Real-Time Analytics

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

At a Glance

  • Tasks: Build and maintain data pipelines for enterprise analytics using cutting-edge tools.
  • Company: SLAMcore, a forward-thinking tech company in the UK.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Exciting projects with real-time analytics and a focus on data quality.
  • Why this job: Join a dynamic team and work with innovative technologies to make data-driven decisions.
  • Qualifications: Experience with ETL/ELT workflows and proficiency in PySpark and SQL.

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

SLAMcore in the United Kingdom is seeking a Data Engineer to build and maintain robust data pipelines for enterprise analytics.

You will develop efficient ETL/ELT workflows using Microsoft Fabric tools and the Databricks Lakehouse Platform to deliver clean, production-ready data.

You will work with Py Spark, Databricks SQL, T-SQL, and Delta Lake formats, implementing data quality checks, governance, and CI/CD pipelines to support real-time Power BI Direct Lake reporting.

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Data Engineer: Lakehouse Pipelines & Real-Time Analytics employer: SLAMcore

At SLAMcore, we pride ourselves on being an exceptional employer that values innovation and collaboration. Our supportive work culture fosters personal and professional growth, offering ample opportunities for career advancement while ensuring a meaningful impact on our users' experiences. Located in a vibrant tech hub, we provide a dynamic environment where your contributions are recognised and celebrated, making every day rewarding.

SLAMcore

Contact Details:

SLAMcore Recruitment Team

We think you need these skills to ace Data Engineer: Lakehouse Pipelines & Real-Time Analytics

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