Data Engineer - Salisbury - £55,000-£65,000 - Hybrid

ZipRecruiter; Salisbury; Hybrid; GBP 55,000 - 65,000; Full time

Job summary

A leading company is seeking a skilled Data Engineer in Salisbury. The role involves designing and maintaining scalable data pipelines using Azure tools. You'll collaborate with data scientists and ensure the data infrastructure is reliable and compliant with security standards.

Qualifications

• Strong hands-on experience with Azure data services.
• Proven ability to build and manage ETL pipelines.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines using Azure.
• Collaborate with stakeholders to gather data requirements.
• Ensure data architecture meets security and compliance standards.

Skills

SQL

Data Modeling

Data Security

Tools

Azure Synapse Analytics

Azure Data Factory

Data Lake Storage

Job description

Job Description

Data Engineer - Salisbury - £55,000-£65,000 - Hybrid

My client is looking for a highly skilled Data Engineer to join our growing data team. This role is ideal for someone with strong experience in Azure data services and a passion for building scalable, secure, and cost-effective data pipelines that support analytics and BI initiatives.

You’ll work closely with data scientists, analysts, and business stakeholders to ensure our data infrastructure is reliable, performant, and compliant.

Key Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines using Azure Data Factory, Synapse Analytics, and Data Lake Storage.
• Model data for analytical and BI consumption, including normalized and denormalized schemas.
• Collaborate with stakeholders to gather data requirements and translate them into efficient engineering solutions.
• Monitor and optimize cloud costs, query performance, and storage efficiency.
• Ensure data architecture and processes meet security, privacy, and compliance standards (e.g., GDPR, encryption, access controls).
• Support CI/CD and data pipeline automation best practices.

Must-Have Skills

• Strong hands-on experience with Azure Synapse Analytics, Data Factory, and Data Lake Storage.
• Proven ability to build and manage ETL pipelines from various structured and unstructured sources.
• Expertise in SQL and data modeling for analytics.
• Experience with cloud cost optimization strategies and working within fixed budgets.
• Solid understanding of data security, GDPR, access control, and encryption best practices.

Nice-to-Have Skills

• Exposure to AWS Redshift, Glue, or Snowflake.
• Familiarity with BigQuery and Google Analytics APIs.
• Proficiency in Python, PySpark, or dbt for data transformations.
• Background in insurance, especially in pricing analytics or actuarial data.

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