Cloud Analytics Engineer
Term: PermanentWorking Hours: Full-timeDepartment: Business SystemsLocation: Ipswich
About the RoleMy 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.
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Build and maintain ETL/ELT processes to ensure clean, structured data for reporting and insights.
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Manage and optimise cloud-based data services, including data warehouses (e.g., Snowflake, Fabric, Azure).
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Implement security best practices, including encryption and compliance with data privacy regulations (ISO policies, Purview, GDPR).
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Automate data workflows using cloud-native services like Azure Data Factory, Microsoft Fabric, and orchestration tools.
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Continuously refine processes for cost-efficiency and performance improvement.
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Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to align solutions with business needs.
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Mentor junior team members, sharing knowledge on best practices and advanced data engineering techniques.
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Stay up-to-date with evolving cloud technologies and analytics trends, implementing innovative solutions.
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Provide 3rd-line technical support, troubleshooting complex data-related incidents, and ensuring high system availability.
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Write and optimise complex SQL queries for extracting, transforming, and analysing data from cloud-based and on-premises data warehouses.
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3-5 years of experience working with cloud platforms.
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Strong background in data engineering and building cloud-based data solutions.
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Proficiency in SQL, Python/PySpark for writing and optimising complex queries.
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Experience with ETL/ELT processes and data querying in cloud platforms.
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Expertise in cloud data warehouses and related technologies.
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Strong knowledge of data security principles and compliance frameworks (e.g., GDPR).
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Ability to work in a fast-paced, collaborative environment while managing multiple priorities.
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Excellent problem-solving, analytical, and communication skills.
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A proactive approach with a passion for continuous learning and improvement in cloud analytics.
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25 days holiday (plus Bank Holidays)
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Long Service Holiday Award - 1 extra week every 10 years
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Private Healthcare (offered after passing probation)
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Scottish Widows Pension Scheme (5% employer / 5% employee contributions)
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Staff Profit Share & Individual Performance Bonus Scheme
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Life Assurance (4x salary) & Permanent Health Insurance
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Paid CSR Day for community engagement
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Enhanced Maternity/Paternity Leave
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Subsidised gym membership & electric car scheme
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Agile/Hybrid Working Policy
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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 @