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For Companies At a Glance
- Tasks: Automate and optimise data workflows in a dynamic tech environment.
- Company: Join the Bank of England's innovative DataOps team.
- Benefits: Flexible working, comprehensive benefits, and professional growth opportunities.
- Why this job: Be a pioneer in DataOps and make a real impact on data management.
- Qualifications: Experience in DataOps or related fields with strong Azure skills.
- Other info: Mentorship opportunities and a chance to work with cutting-edge technologies.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Senior DataOps Engineer role at Bank of England.
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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Senior DataOps Engineer employer: Bank of England
Contact Detail:
Bank of England Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior DataOps Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the Bank of England on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.
✨Tip Number 2
Prepare for those interviews! Brush up on your DataOps knowledge and be ready to discuss how you've tackled challenges in past roles. Use specific examples that highlight your experience with Azure and CI/CD pipelines.
✨Tip Number 3
Show off your skills! If you have any projects or contributions to open-source that demonstrate your expertise in data workflows or automation, make sure to mention them during your interview. It’s a great way to stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in the role at the Bank of England.
We think you need these skills to ace Senior DataOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior DataOps Engineer role. Highlight your experience with Azure and CI/CD pipelines, as well as any relevant projects that showcase your skills in data governance and automation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about DataOps and how your background aligns with the Bank of England's goals. Don’t forget to mention your mentoring experience and how you can contribute to the team.
Be Detailed in Your Work History: When filling out your work history, be as detailed as possible. Include specific examples of your achievements in DataOps and how you've improved processes or solved problems in previous roles. This will help us see your impact!
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s straightforward and ensures your application goes directly to us. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Bank of England
✨Know Your DataOps Inside Out
Make sure you brush up on your DataOps knowledge, especially around CI/CD pipelines and Azure services. Be ready to discuss your hands-on experience with tools like Azure Data Factory and Databricks, as well as how you've automated data workflows in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've proactively monitored systems and resolved issues. Think about times when you improved operational efficiency or implemented data governance measures, and be ready to explain your thought process.
✨Collaboration is Key
Since this role involves working closely with various teams, be prepared to talk about your experience collaborating with Data Engineering, Data Science, and DevOps teams. Highlight any successful projects where teamwork led to better outcomes.
✨Stay Current with Emerging Technologies
Demonstrate your enthusiasm for continuous learning by discussing any new technologies or methodologies you've explored recently. Mention how you’ve evaluated and adopted these innovations to enhance operational efficiency in your previous roles.