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For Companies At a Glance
- Tasks: Manage and optimise cloud data infrastructure, ensuring high performance and security.
- Company: Join Bermuda Commercial Bank, a leader in tech transformation.
- Benefits: Full-time role with competitive salary and growth opportunities.
- Why this job: Be at the forefront of cloud technology in a dynamic banking environment.
- Qualifications: Experience in SQL Server, cloud platforms, and data management required.
- Other info: Collaborative culture with a focus on innovation and continuous improvement.
The predicted salary is between 36000 - 60000 £ per year.
Bermuda Commercial Bank (BCB) is in the middle of a major technology and infrastructure transformation, and we are looking for a Cloud Data Engineer who wants to be at the heart of it.
The Opportunity
We are looking for a highly skilled and experienced Cloud Data Engineer with a strong background in SQL Server administration, performance tuning, database management, cloud data architecture, and data migration. The ideal candidate should have hands-on experience managing both on-premise SQL Servers and cloud-based data platforms (Azure/AWS). A background in banking or financial services, cloud certifications, and strong communication and collaboration skills is highly preferred.
This role involves end-to-end responsibility for managing, optimizing, migrating, and supporting enterprise-level data infrastructure, ensuring high availability, quality, security, and performance.
Key Responsibilities
- Manage and administer SQL Server databases (on-premise and cloud-based), including installation, configuration, upgrades, security, and performance.
- Conduct performance tuning, SQL query optimization, indexing strategies, and capacity management.
- Implement and maintain ETL/ELT data pipelines using SQL, Azure Data Factory, AWS Glue, Databricks, or similar platforms.
- Design and implement data models (OLTP, OLAP, Dimensional Models) for analytics, reporting, and data warehousing.
- Manage high-availability and disaster recovery solutions, such as Always On, Clustering, Log Shipping, and Backup Strategies.
- Lead and support database migrations, cloud transformation, and modernization initiatives.
- Develop and maintain cloud data environments in Azure and/or AWS, including Azure SQL, Azure Synapse, AWS RDS, Redshift, S3, Lambda, IAM, and Glue.
- Manage and monitor cloud-based data solutions ensuring cost optimization, compliance, data security, and governance.
- Implement monitoring and alerting solutions (CloudWatch, Azure Monitor, Argent, Grafana, SolarWinds, etc.).
- Support and maintain data ingestion, transformation, orchestration, and automation workflows.
Governance, Security & Support:
- Implement best practices for data security, access control (RBAC), encryption, monitoring, and compliance (GDPR, SOX, PCI, etc.).
- Provide on-call support, troubleshooting, and incident management for data systems in production environments.
- Maintain documentation, SOPs, knowledge bases, and assist in cross-team collaboration, KT, and continuous improvement initiatives.
Collaboration and Stakeholder Engagement:
- Work closely with Application Support, BI, Infrastructure, and Business teams.
- Translate business requirements into technical specifications.
- Communicate effectively with both technical and non-technical stakeholders.
Required Skills & Experience
- Technical Expertise: Strong hands-on experience with SQL Server administration (2012-2019) — DBA background essential. Proven expertise in performance tuning, optimization, indexing, query tuning, and database housekeeping. Experience with Azure and/or AWS Data Services, including Azure SQL, Azure Data Factory, Synapse, AWS RDS, Redshift, and S3. Proficiency in ETL/ELT tools, scripting, and data pipeline development (Python, PowerShell, SSIS, ADF, Databricks). Strong knowledge of data migration, data warehouse design, ETL frameworks, and automation. Experience with cloud monitoring, backup solutions, HA/DR, and resource optimization. Familiarity with data governance, metadata, cataloging, and compliance frameworks.
- Soft Skills: Excellent communication and stakeholder management. Strong problem-solving, analytical thinking, and decision-making. Experience working in agile, multi-disciplinary teams. Highly organized and proactive with attention to detail.
Preferred Certifications: ITIL or equivalent support/service management certification (beneficial)
Preferred Industry Experience: Banking, Financial Services, Insurance, or Regulatory environments. Experience with sensitive data, compliance-driven operations, and enterprise-grade systems.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Cloud Data Engineer in London employer: Bermuda Commercial Bank
Contact Detail:
Bermuda Commercial Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and tech sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud data projects, especially those involving SQL Server and cloud platforms like Azure or AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around performance tuning and data migration. Practice common interview questions and scenarios related to cloud data engineering to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Cloud Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Cloud Data Engineer role. Highlight your SQL Server experience, cloud data architecture skills, and any relevant certifications. We want to see how your background fits perfectly with what we're looking for!
Showcase Your Projects: Include specific projects where you've managed databases or implemented ETL/ELT pipelines. We love seeing real-world examples of your work, especially if they relate to cloud platforms like Azure or AWS.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills align with our needs. We appreciate a personal touch that shows us you really want to be part of our transformation journey.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Bermuda Commercial Bank
✨Know Your Tech Inside Out
Make sure you brush up on your SQL Server administration skills and cloud data architecture knowledge. Be ready to discuss specific experiences with performance tuning, database management, and any cloud platforms you've worked with, like Azure or AWS.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in previous roles, especially around data migration or optimising ETL processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Communicate Effectively
Since this role involves collaboration with various teams, practice explaining complex technical concepts in simple terms. Think about how you can translate business requirements into technical specifications and be ready to demonstrate this during the interview.
✨Highlight Your Compliance Knowledge
Given the banking context, be prepared to discuss your understanding of data governance and compliance frameworks like GDPR or SOX. Share any relevant experiences that showcase your ability to manage sensitive data securely.
