Cloud Analytics Engineer

Cambridge
1 month ago
Applications closed

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Cloud Analytics Engineer

Term: Permanent
Working Hours: Full-time
Department: Business Systems
Location: Ipswich

About the Role

My client, a leading professional services firm, is seeking a talented Cloud Analytics Engineer to join their dynamic Business Systems team. This role focuses on designing, building, and maintaining cloud-based data analytics solutions, ensuring seamless data processing and storage for actionable insights. Reporting to the Data Systems Team Leader, you will play a key role in data engineering, cloud computing, and analytics, as well as providing expert-level 3rd-line support for hybrid cloud data systems.

Key Responsibilities

Develop and implement scalable data pipelines on cloud platforms (Azure, Fabric, Power Automate) for efficient data processing, storage, and retrieval.

Build and maintain ETL/ELT processes to ensure clean, structured data for reporting and insights.

Manage and optimise cloud-based data services, including data warehouses (e.g., Snowflake, Fabric, Azure).

Implement security best practices, including encryption and compliance with data privacy regulations (ISO policies, Purview, GDPR).

Automate data workflows using cloud-native services like Azure Data Factory, Microsoft Fabric, and orchestration tools.

Continuously refine processes for cost-efficiency and performance improvement.

Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to align solutions with business needs.

Mentor junior team members, sharing knowledge on best practices and advanced data engineering techniques.

Stay up-to-date with evolving cloud technologies and analytics trends, implementing innovative solutions.

Provide 3rd-line technical support, troubleshooting complex data-related incidents, and ensuring high system availability.

Write and optimise complex SQL queries for extracting, transforming, and analysing data from cloud-based and on-premises data warehouses.

Candidate Profile

3-5 years of experience working with cloud platforms.

Strong background in data engineering and building cloud-based data solutions.

Proficiency in SQL, Python/PySpark for writing and optimising complex queries.

Experience with ETL/ELT processes and data querying in cloud platforms.

Expertise in cloud data warehouses and related technologies.

Strong knowledge of data security principles and compliance frameworks (e.g., GDPR).

Ability to work in a fast-paced, collaborative environment while managing multiple priorities.

Excellent problem-solving, analytical, and communication skills.

A proactive approach with a passion for continuous learning and improvement in cloud analytics.

Benefits & Culture

25 days holiday (plus Bank Holidays)

Long Service Holiday Award - 1 extra week every 10 years

Private Healthcare (offered after passing probation)

Scottish Widows Pension Scheme (5% employer / 5% employee contributions)

Staff Profit Share & Individual Performance Bonus Scheme

Life Assurance (4x salary) & Permanent Health Insurance

Paid CSR Day for community engagement

Enhanced Maternity/Paternity Leave

Subsidised gym membership & electric car scheme

Agile/Hybrid Working Policy

Dress for Your Day Policy

If you're a skilled Cloud Analytics Engineer looking for an opportunity to make a significant impact in a growing organisation, please apply now or if you know anyone who would be a good fit for the role please contact me @(url removed)

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