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Overview
We are seeking a senior Data Platform DataOps Engineer to serve as our first DataOps specialist in a growing team of Data Engineers and DevOps professionals. You will focus on operationalising and automating our data lifecycle to ensure data workflows perform with reliability and efficiency. You will integrate CI/CD data pipelines, streamline deployment processes, enforce robust data governance, and optimise operational costs within our Microsoft Azure environment. Your work will be centred on proactive system monitoring, error resolution, and continuous improvements, while mentoring and guiding colleagues.
Role Responsibilities
* Oversee and automate the operational processes that support data workflows developed by the Data Engineering team while ensuring seamless coordination with the DevOps group.
* Spearhead the development, integration, and maintenance of CI/CD data pipelines for automated deployments.
* Integrate best practices for monitoring and observability to proactively detect, analyse, and resolve issues.
* Enforce robust data governance and security protocols through tools like Azure Key Vault, ensuring compliance with standards such as GDPR and other regulatory frameworks.
* Collaborate with Data Engineering, Data Science, Analytics, and DevOps teams to align operational strategies with technical and business requirements.
* Optimize operational performance and cost management for services including Azure Data Factory, Azure Databricks, Delta Lake, and Azure Data Lake Storage.
* Serve as the DataOps domain expert, providing strategic guidance, mentoring colleagues, and driving continuous process improvements.
* Evaluate and adopt emerging technologies and methodologies to enhance operational efficiency and automation within the data ecosystem.
Required Qualifications
* Experience in DataOps, Data Engineering, DevOps, or related roles managing data operations in complex environments.
* Proven experience with agile teams and automation of data workflows within the Microsoft Azure ecosystem.
* Hands-on expertise with Azure Data Platform components including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Delta Lake, Azure SQL, Purview and APIM.
* Proficiency in developing CI/CD data pipelines and programming skills in Python, SQL, Bash, and PySpark for automation.
* Strong data pipeline monitoring and an understanding of data security practices such as RBAC and encryption.
* Experience implementing data governance and regulatory compliance measures.
* Experience with Infrastructure as Code using Terraform to provision and manage data pipelines and resources.
Nice-to-have / Additional Skills
* Ability to mentor teams and implement strategic improvements in data operations.
* Familiarity with cost optimisation and performance tuning within Azure-based data infrastructure.
* Certifications such as Azure Data Engineer Associate, Azure DevOps, Databricks Data Engineer Professional, or equivalent.
* Experience with Spark-based processing and advanced analytics techniques for data-driven decision making.
What we offer
* Flexible working patterns with part-time options; salary and benefits pro-rated as appropriate.
* Comprehensive benefits package including pension, discretionary bonus, benefits allowance, annual leave, private medical insurance, and income protection.
Security, Vetting & Immigration
Employment in this role will be subject to National Security Vetting clearance and Bank security checks. The Bank is an UKVI sponsor where applicable; eligibility for sponsorship will be considered on a case-by-case basis.
Application Process
This role closes on 10 September 2025. The assessment process will comprise two interview stages. Please ensure you complete the work history and answer all application questions in detail as part of the screening process. Applications are anonymised during review.
Location
Wakefield, England, United Kingdom
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Technology, Information and Internet
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