Contract Opportunity: Senior Data Engineer / DataOps Engineer

Location: Central London, UK
Contract Duration: 6 Months
Role Type: Contract

Are you an experienced Data Engineer with a passion for DataOps, automation, and platform engineering? We are looking for a Senior Data Engineer to help build, automate, and support cutting-edge enterprise data platforms across Azure, SQL Server, and Snowflake ecosystems.

In this pivotal 6-month contract, you will drive data onboarding, migration, and automation initiatives. Your work will directly contribute to operational excellence, scalable data solutions, and the empowerment of self-service capabilities across the business.

• Pipeline Engineering: Design and develop robust data ingestion, transformation, and migration solutions utilizing Azure Data Factory (ADF).

• ETL/ELT Development: Build and maintain seamless pipelines across SQL Server, Azure Data Lake Storage (ADLS), and Snowflake ecosystems.

• Automation & Frameworks: Build reusable frameworks for data onboarding, schema deployment, and validation. Automate operational processes using SQL, Python, or PowerShell.

• Database Administration: Administer and manage SQL Server environments hosted on Azure VMs, handling security, backup/recovery, performance tuning, and access management.

• Platform Modernization: Support database migrations, system upgrades, and platform modernization initiatives.

• Governance & Security: Implement data quality controls, governance standards, audit logging, and security best practices.

• Collaboration: Work closely with business and technology teams to deliver highly scalable, reliable data solutions and improve overall DataOps efficiency.

To be successful in this role, you must have strong hands-on experience in the following areas:

• Core Technologies: Azure Data Factory (ADF), Azure Data Lake (ADLS), Azure SQL, and core ETL concepts.

• SQL Server Mastery: Advanced SQL Server development and administration skills, including hands-on experience managing SQL Server on Azure Virtual Machines.

• Database Expertise: Proven track record in database migration, performance tuning, backup/recovery, and security implementation.

• Scripting & Automation: Strong scripting abilities in SQL, Python, and/or PowerShell.

• Data Formats: Experience working with structured and semi-structured data formats (CSV, JSON, XML, Parquet, MDF, BAK).

• Problem Solving: Exceptional troubleshooting, automation, and analytical capabilities.

How to Apply

Please include your most recent CV and a brief summary of your experience with Azure and SQL Server environments and share at yogeshwari. sen @ randstaddigital. com

Randstad Technologies is acting as an Employment Business in relation to this vacancy.