Data

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)