Senior Data / Analytics Engineer

Harnham is a leading consultancy focused on modernizing data ecosystems and enhancing the use of advanced analytics and AI. The Senior Data / Analytics Engineer will design and build end-to-end analytical data solutions in a cloud environment, ensuring the effectiveness of enterprise data operations and supporting analytics, BI, and machine learning initiatives.

Responsibilities:

• Develop resilient, high-performing data platforms that empower analytics and data science teams
• Define scalable data models and implement efficient storage and optimization strategies
• Guide clients through migrations from legacy BI or warehousing systems into a modern cloud-native stack
• Architect and build new enterprise data warehouse and data mart solutions
• Implement well-documented transformation logic using modern tooling
• Establish testing frameworks and deployment processes for reliable, production-ready data workflows
• Apply advanced data modeling principles to deliver maintainable, extensible datasets
• Partner closely with engineering, BI, analytics, and ML teams in agile project settings
• Build working relationships with major technology vendors and stay informed on new platform capabilities
• Promote best practices in version control, automated testing, and continuous integration within analytics engineering workflows

Requirements:

• 4+ years in a data-centered role (Analytics Engineering, Data Engineering, Data Analysis, etc.)
• Strong practical experience with modern data transformation frameworks (e.g., dbt) and cloud-based data warehouses
• Expertise in dimensional modeling and related warehousing techniques
• Fluency in SQL, with the ability to write both readable analytical queries and highly optimized SQL for performance-critical workloads
• Looker and dbt are MUST HAVE
• Ability to translate complex business needs into scalable data solutions
• Clear communicator capable of explaining technical concepts to varied audiences
• Experience mentoring or guiding junior team members
• Comfortable owning multiple workstreams and engaging directly with stakeholders
• Values aligned with a culture that emphasizes accountability, transparency, collaboration, and high performance
• Certifications related to cloud data engineering or modern analytics tooling
• Familiarity with agile project delivery and Scrum practices