Cloud Data Engineer
Bermuda Commercial Bank
- London, England, United Kingdom
- London, England, United Kingdom
About
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 communicationand 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
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Languages
- English
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