
Data Engineering Consultant
Posted 18 hours ago

Posted 18 hours ago
This is a fully remote position, open to applicants in United Kingdom.
• Provide innovative analytical solutions for clients globally
• Develop robust data platforms that facilitate AI functionalities
• Gather requirements and offer consulting services to clients
• Design and execute data engineering solutions utilizing Azure, Spark, Python, SQL, orchestration, data lake, governance, and infrastructure-as-code technologies
• Implement ETL methodologies with a focus on data quality, resilience, and observability
• Operate within agile projects adhering to CI/CD methodologies and SDLC practices
• Share expertise internally and with the broader data community
• Work collaboratively in a small, diverse, cross-functional team
• Occasionally visit clients and team members
• Participate in community events through organizing, speaking, mentoring, blogging, or sponsorship
• Strong working knowledge of Microsoft Azure and cloud computing principles
• Experience with Apache Spark, including Databricks, Microsoft Fabric, or other Spark engines
• Expertise in Python programming
• Capability to write complex, high-performance SQL queries and comprehend query execution across various compute technologies
• Experience with Azure Data Factory or similar cloud orchestration tools
• Familiarity with Azure Data Lake Storage and Delta Lake
• Knowledge of Unity Catalog, Purview, or other data governance tools
• Experience with infrastructure-as-code tools such as Terraform and Azure DevOps
• Proficient in requirements gathering and client consulting
• Understanding of agile project management methodologies
• Knowledge of object-oriented development practices
• Familiarity with ETL methodologies emphasizing data quality, resilience, and observability
• Understanding of CI/CD methodologies and the software development life cycle (SDLC)
• Ability to thrive in an agile environment while balancing technical skills with practical project requirements
• A passion for technology, along with honesty, empathy, and a commitment to knowledge sharing
• Must reside within the UK
• Occasional travel to visit clients and team members
• Access to the latest technology and training opportunities
• Commitment to long-term employee goals
• Support for community engagement, including blogs, meetups, conferences, speaking, mentoring, and sponsorship
• Industry-leading Maternity & Paternity policy
• Private Medical & Dental Care along with Eye care schemes
• Health & Well-being fund
• 25 Days Annual Leave, Birthday Leave & Charity Leave
• Regular away days with the team
• Annual Bonus Scheme
• Flexible Working Hours
• Electric Car Scheme
Avery Dennison
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