Data Engineer

Network IT; Birmingham; Hybrid; GBP 45,000 - 55,000; Full time

Job summary

A leading technology recruitment agency is seeking a Data Engineer for a 12-month fixed-term position in Birmingham. This hands-on role requires experience in designing and implementing data warehouses, with strong skills in Snowflake, Azure Data Factory, and Power BI. You will be responsible for shaping the cloud-based data warehouse on MS Azure. The role involves monthly on-site meetings at the Central Birmingham office. Competitive salary of £45,000 - £55,000 offered.

Qualifications

• Experience designing and implementing data warehouses.
• Strong technical skills in Snowflake, Azure Data Factory, and Power BI.
• Proven ability to develop complex data warehouse solutions.

Responsibilities

• Design and deliver the data platform.
• Manage stakeholder relationships to understand business needs.
• Implement data architecture and modeling techniques.

Skills

Data architecture and modelling

Snowflake

Azure Data Factory

Power BI

Python

SQL

GIT

Agile practices

Continuous integration pipelines

API integrations

Job description

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Role: Data Engineer
Location: Birmingham (1 Day In-Office Monthly)
Duration: 12 Month Fixed-Term
Salary: £45,000 - £55,000

We are Network IT and have a fantastic opportunity for a Data Engineer to join an outstanding, long-term client. The client is undertaking a programme to simplify and consolidate their data sources into a modern, scalable data warehouse.

This role requires you to be on-site at their Central Birmingham office once a month.

Our client is in the initial stages of developing their cloud-based data warehouse, hosted on MS Azure and based on Snowflake. The fundamental architecture has been identified, and systems are beginning to communicate, but there is much more to do. This is a lucrative opportunity to take control, design, and deliver their data platform.

This is a hands-on role, ideal for someone who enjoys a challenging environment and can provide technical expertise to inform how data is used to support key business decisions. The successful candidate will:

• Have experience using various data architecture and modelling techniques.
• Proven ability to design, develop, and implement complex data warehouse solutions.
• Possess exceptional stakeholder management and relationship-building skills to understand and meet business needs.

Experience:

We are looking for a Data Engineer with experience designing and implementing data warehouses, with strong technical skills in Snowflake (preferably certified), Azure Data Factory (for building cloud ETL pipelines), Power BI, and Data Build Tool (DBT). Other desirable skills include:

• Data architecture and modelling
• Python
• GIT
• Agile practices (e.g., Scrum or Kanban)
• Continuous integration pipelines (Azure DevOps, TeamCity, Jenkins)
• SQL
• API integrations