Data Engineer – Azure / Databricks – Birmingham / Solihull | West Midlands

MYO Talent; England; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading recruitment agency seeks a skilled Data Engineer to join a prominent client in the Birmingham/Solihull area. This permanent position requires expertise in Azure and Databricks, with responsibilities that include developing data pipelines and managing complex datasets. The successful candidate will also have experience in SQL and ETL processes. The role offers a competitive salary along with a car allowance and a bonus structure, with a hybrid working model requiring in-office attendance 1-2 days per week.

Benefits

Car allowance

15% bonus

Qualifications

• Demonstrated experience in a Data Engineer role.
• Ability to work with large and complex datasets.
• Proficient in Azure technologies and Databricks.

Responsibilities

• Develop and manage data pipelines using Azure and Databricks.
• Design database solutions for optimal performance.
• Ensure best practices in data engineering and warehousing.

Skills

Data Engineering experience

Azure

Azure Databricks

Python

SQL

ETL

Data Warehousing

Database Design

Azure Blob Storage

Azure Data Factory

Job description

Job Title: Data Engineer – Azure / Databricks – Birmingham / Solihull
Employer: MYO Talent
Location: West Midlands, United Kingdom
Salary:
Employment Type: Permanent
Reference Number: bf3e8ba2-436b-4302-9487-bd49fb0e6dfe

Data Engineer / Data Engineering / Data Consultant / Lakehouse / Delta Lake / Data Warehousing / ETL / Azure / Azure Databricks / Python / SQL / Based in the West Midlands / Solihull / Birmingham area, Permanent role, £ + car/allowance (£5,000) + 15% bonus.

One of our leading clients is looking to recruit a Data Engineer – Azure / Databricks.

Location – West Midlands (Birmingham/Solihull)

(Will need to be in the office 1-2 days per week so locally based)

Permanent role

Salary £ + car/allowance + bonus

Experience

• Experience in a Data Engineer / Data Engineering role
• Large and complex datasets
• Azure, Azure Databricks
• Microsoft SQL Server
• Lakehouse, Delta Lake
• Data Warehousing
• ETL
• Database Design
• Python/PySpark
• Azure Blob Storage
• Azure Data Factory

Desirable

• Exposure ML/Machine Learning/AI/Artificial Intelligence