Data Engineer

Amtis Professional Ltd; Stafford; On-site; GBP 54,000 - 59,000; Full time

Benefits offered by this job

Hybrid working

1 day on-site per week

Excellent benefits

Job summary

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/PySpark, with a hybrid on-site requirement of one day per week.

Qualifications

• Experience with Azure Databricks and Azure analytics services.
• Understanding of data warehousing and ETL principles.
• Strong communication and stakeholder engagement skills.

Responsibilities

• Build and enhance data pipelines across Azure and Databricks.
• Develop ETL/ELT solutions to integrate data from multiple sources.
• Transform and model data for analytics and reporting.
• Support the data lake and cloud data environment development.
• Troubleshoot pipelines, improve performance and reliability.
• Maintain data quality, governance and security standards.
• Collaborate with Data, BI and business teams to deliver solutions.
• Contribute to engineering standards, documentation and platform evolution.

Skills

Strong communication

Stakeholder engagement

Tools

Azure Databricks

Azure Data Factory

Azure Synapse Analytics

Azure Data Lake Storage

SQL

Python

Job description

Data Engineer

£54-59,000 + bonus

Hybrid Working 1 day on-site per week

West Midlands based

I'm recruiting for a Data Engineer to join an established data team, working on the development and improvement across Azure and Databricks.

The role will focus on building scalable data pipelines, integrating data from a range of systems and transforming it into reliable, analytics-ready datasets. You'll work across the full engineering lifecycle, from ingestion and transformation through to data modelling, optimisation and supporting data solutions.

You'll be working with Azure Databricks, Data Factory, Synapse, Data Lake, SQL and Python/PySpark.

Key responsibilities:

• Build and enhance data pipelines across Azure and Databricks


• Develop ETL/ELT solutions to integrate data from multiple business systems and sources


• Transform and model data for use across analytics and reporting


• Support the ongoing development of the organisation's Data Lake and wider cloud data environment


• Troubleshoot pipeline and data issues, improving performance and reliability


• Help maintain strong standards around data quality, governance and security


• Work closely with Data, BI and the business to understand requirements and deliver effective solutions


• Contribute to engineering standards, documentation and the ongoing development of the platform

Key experience:

• Experience with Azure Databricks


• Azure Data Factory


• Azure Synapse Analytics


• Azure Data Lake Storage


• SQL and Python


• Understanding of data warehousing and ETL principles


• Strong communication and stakeholder engagement skills

What's on offer:

• Flexible hybrid working environment


• Opportunity to work with a modern Azure data platform


• Exposure to the latest Azure technologies in a collaborative team investing heavily in both people and technology


• Excellent benefits package