Senior Data Engineer

TN United Kingdom; Manchester; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a Senior Data Engineer to enhance their data technology solutions in Azure. In this pivotal role, you will design and build complex data solutions while collaborating with talented architects and engineers. Your expertise will help mentor junior team members and foster a culture of continuous learning. You'll also conduct research and development to keep the company at the forefront of industry trends. This opportunity offers a chance to make a significant impact in a dynamic environment, where your contributions will drive innovative data solutions.

Qualifications

• Substantial experience in data engineering and Azure data services.
• Expertise in developing data pipelines and working with APIs.

Responsibilities

• Design and build complex data solutions leveraging Azure data services.
• Mentor junior team members and support Data Architects.

Skills

Data Engineering

Azure Data Services

Analytical Skills

Problem-Solving

Tools

Databricks

Azure Synapse

ADLS2

Azure Keyvault

Azure Security

Job description

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As a Senior Data Engineer, you will provide expertise in building data technology and modern data platform solutions in Azure. You will play a crucial role in developing complex data solutions, supporting our Data Architects, Presales Architects, and Cloud Engineers, and mentoring junior team members.

Key Responsibilities:

• Design and build complex data solutions leveraging Azure data services.
• Support and collaborate with Data Architects, Presales Architects, and Cloud Engineers to deliver top-notch solutions.
• Mentor and guide junior team members, fostering a culture of continuous learning and improvement.
• Conduct R&D to stay ahead of industry trends and integrate new technologies.
• Develop and enforce best practices in data engineering and platform development.

What We Need From You:

• Substantial experience in data engineering and Azure data services.
• Strong analytical and problem-solving skills.
• Proven experience working with a variety of customers.
• In-depth knowledge of engineering practices and processes.
• Expertise in developing data pipelines, working with APIs, multiple file formats, and databases.

Specific Technologies and Disciplines:

• Fabric
• Synapse
• ADLS2
• Databricks
• Keyvault
• Azure Security (e.g., use of private endpoints)