Data Engineer: Own & Shape Scalable Pipelines (Hybrid)

Langham Recruitment; Huddersfield; Hybrid; GBP 45,000 - 50,000; Full time

Benefits offered by this job

Hybrid working

Ownership of data engineering function

Job summary

Langham Recruitment is partnering with a well-established SaaS business in Huddersfield to recruit a hands-on Data Engineer. You’ll own the data pipelines, models and reporting underpinning the platform, and collaborate across product and engineering teams.

The role suits a SQL Server / Azure pro who enjoys end-to-end data lifecycle work, data governance, and shaping future architecture. Hybrid work balances onsite presence with flexible remote days, offering real scope to influence the data

Qualifications

• SQL / T-SQL and data modelling experience.
• Experience with SQL Server / Azure SQL.
• Experience building and managing data pipelines.
• Experience with Azure Data Factory or similar.
• Experience working with large and complex datasets.

Responsibilities

• Design, build and maintain scalable data pipelines.
• Own ingestion and processing of large national datasets.
• Develop data models, reporting databases and analytical datasets.
• Build automated data quality checks and monitoring.
• Improve performance, reliability and cost of data workloads.
• Work closely with Product and Engineering teams on data requirements.
• Support data governance, security and compliance.
• Help shape data architecture and mentor other engineers.

Skills

SQL / T-SQL

Data modelling

Azure cloud technologies

Azure SQL

SQL Server

Data pipelines

Problem solving

Communication

Tools

Azure Data Factory

Cosmos DB

Power BI

Docker

Terraform

Job description

Langham Recruitment is partnering with a well-established SaaS business in Huddersfield to recruit a hands-on Data Engineer. You’ll own the data pipelines, models and reporting underpinning the platform, and collaborate across product and engineering teams.

The role suits a SQL Server / Azure pro who enjoys end-to-end data lifecycle work, data governance, and shaping future architecture. Hybrid work balances onsite presence with flexible remote days, offering real scope to influence the data