Data Engineer

About CloudKubed:

CloudKubed is an innovative digital and cloud transformation consultancy. We are trusted by our customers to deliver significant technology transformation programmes within both the public and private sectors.

We’re a down-to-earth team with a passion for delivering successful outcomes for our customers. As we continue to grow, we are looking for ambitious individuals who share our values and want to be a part of this exciting journey.

About the Job:

As a Data Engineer, you will join our technology team and play a vital role in delivering data-focused solutions to our clients. You will be proficient in designing and implementing data architecture on Azure, using industry-standard data tools. You’ll work with our clients and internal teams to define data standards, practices, and common models. 

Key Responsibilities:

• Design and implement data architecture that meets the business needs. 
• Conduct business workshops to gather requirements and translate them into technical solutions. 
• Define and implement data standards, practices, and common models. 
• Work collaboratively with clients and internal teams to ensure successful delivery of data solutions. 

Requirements:

• Proven experience in data engineering with a strong understanding of data design patterns.  
• Experience in developing and implementing data models, data transformation pipelines and workflows
• Strong Experience in Design, Development, Implementation, Unit Testing, Troubleshooting and Support of ETL Process
• Strong Experience in SQL Query Design and Implementation
• Strong Experience using Pyspark to develop in Spark based data platforms platform
• Familiarity with the lake-house data architecture
• Knowledge and experience of programming languages  (e.g. Java, Python, and data visualization/exploration tools)
• Experience inof Data Warehouse Concepts
• Experience in SQL Performance Tuning and Query Optimization by Indexing, Partitioning and Denormalization
• Data engineering certification (e.g Microsoft Certified: Azure Data Engineer Associate)
• Familiarity with the Azure ecosystem, specifically Azure Analysis Services. Power BI, Azure Synapse Analytics, Azure Data Lake Storage
• Work with Stakeholders and Understand their Requirements
• Excellent communication skills with the ability to represent complex ideas.
• Be an advocate for best practices and continued learning

Desirable Requirements:

• Experience working with a technology consultancy. 
• Experience in Pharma, Medical or related field  
• Strong knowledge of metadata management and related tools. 
• Advanced troubleshooting skills. 
• Experience working in the public sector.

What we offer you:

• 10% Performance related bonus
• Flexible & remote working 
• Private Healthcare via our partner Vitality Health.
• Training & Certifications 
• Regular events & meetups 
• You will be provided with training and the opportunities to grow your career within an exciting and ever-evolving industry. 
• Annual Leave 28 days per annum (+Bank Holidays) 
• Enhanced Company Sick Pay
• Electric Car Scheme

We are committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.

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