Azure Data Engineer: Pipelines, Databricks & Analytics in Stafford

Azure Data Engineer: Pipelines, Databricks & Analytics in Stafford

Stafford Full-Time 60750 - 74250 Β£ / year (est.) Home office (partial)
Amtis Professional Ltd

At a Glance

  • Tasks: Build scalable data pipelines and integrate data from various systems.
  • Company: Join Amtis Professional Ltd, a leader in data solutions.
  • Benefits: Enjoy a hybrid work model, competitive salary, and growth opportunities.
  • Other info: Collaborative team environment with a focus on innovation.
  • Why this job: Make an impact by working with Azure and Databricks on exciting projects.
  • Qualifications: Experience with Azure, Databricks, SQL, and Python/PySpark is essential.

The predicted salary is between 60750 - 74250 Β£ per year.

Amtis Professional Ltd is seeking a Data Engineer to join our established data team, working on Azure and Databricks pipelines.

The role focuses on building scalable data pipelines, integrating data from multiple systems, and producing analytics-ready datasets.

You will work across ingestion, transformation, modelling, and data solutions, using Azure Databricks, Data Factory, Synapse, Data Lake, SQL and Python/Py Spark, with a hybrid on-site requirement of one day per week.

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Azure Data Engineer: Pipelines, Databricks & Analytics in Stafford employer: Amtis Professional Ltd

As a Senior Business Analyst at our Worcestershire location, you will thrive in a supportive and dynamic work culture that prioritises employee growth and well-being. We offer competitive salaries, flexible working arrangements, and tailored professional development opportunities, ensuring you can achieve your career aspirations while contributing to meaningful projects that align with our strategic objectives.

Amtis Professional Ltd

Contact Details:

Amtis Professional Ltd Recruitment Team

We think you need these skills to ace Azure Data Engineer: Pipelines, Databricks & Analytics in Stafford

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