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

Ascentia Partners; Salisbury; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative firm is seeking a skilled Data Engineer to enhance their data team. This role focuses on building scalable and secure data pipelines using Azure technologies, ensuring that data infrastructure meets high standards of performance and compliance. Collaborating with data scientists and business stakeholders, you will play a crucial role in shaping data architecture and optimizing cloud costs. If you are passionate about data and eager to contribute to impactful analytics and BI initiatives, this opportunity is perfect for you.

Qualifications

• Strong experience in Azure data services and building data pipelines.
• Expertise in SQL and data modeling for analytics.

Responsibilities

• Design and maintain robust ETL/ELT pipelines using Azure services.
• Collaborate with stakeholders to gather data requirements.

Skills

Azure Synapse Analytics

Data Factory

Data Lake Storage

SQL

Data Modeling

Cloud Cost Optimization

Data Security

GDPR Compliance

Tools

Azure Data Factory

Azure Synapse Analytics

Data Lake Storage

AWS Redshift

Google Analytics APIs

Python

PySpark

dbt

Job description

This range is provided by Ascentia Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Ascentia Partners

Director - Technology & Data @ Ascentia Partners

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.

Click Apply!!

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Data Infrastructure and Analytics

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