Senior Data Engineer

Akkodis is seeking a Senior Data Engineer for a contract position with a client located in Remote. The role involves designing, building, and managing data pipelines to support lead sourcing and generation while collaborating with various teams to ensure data quality and optimize workflows.

Responsibilities:

• Design, build, and manage data pipelines supporting lead sourcing and generation
• Partner closely with Sales, BDR, Marketing, and Enablement teams to align messaging, personas, and go-to-market (GTM) strategy
• Customize workflows by segment (ICP, industry, stage, role, account status), managing enrollment logic, branching, and exit criteria
• Ensure seamless CRM synchronization, data integrity, compliance, and deliverability
• Audit templates, content links, and maintain annual copyright updates while troubleshooting delivery and system logging issues
• Govern and optimize workflows through regular audits, standardized templates, documentation, training, and ongoing support
• Track and analyze performance metrics (engagement, conversion, task completion, exits), build dashboards, conduct A/B testing, and present insights to Sales, RevOps, and Marketing stakeholders
• Lead the development and implementation of advanced data science models
• Collaborate with cross-functional stakeholders to gather and define requirements
• Drive and promote data science best practices across the organization
• Ensure data quality, accuracy, and integrity across all processes
• Stay current with emerging trends and advancements in data science
• Manage and maintain existing datasets
• Build and enhance data pipelines to support lead generation initiatives
• Collaborate with internal stakeholders on campaign and data requests

Requirements:

• 5+ years of relevant experience and a Bachelor's degree, or equivalent combination of education and experience
• SQL, BigQuery, and API management (required)
• Python and experience with AI/prompt engineering
• Machine Learning or LLM experience
• Bachelor's, Master's, or PhD in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent experience
• 5+ years of experience in advanced analytics or data science roles
• Deep expertise in experimentation, including A/B testing design, execution, analysis, and causal inference
• Strong background in time-series analysis and forecasting for growth planning and performance monitoring
• Advanced proficiency in SQL, Python, machine learning, and APIs
• Hands-on experience with large-scale analytics platforms (e.g., BigQuery) and integrations with tools such as Salesforce Marketing Cloud and Jupyter Notebooks
• Proven ability to translate complex analytical findings into clear, actionable insights for senior stakeholders
• Strong problem-solving skills with a track record of influencing business and product strategy through data-driven recommendations
• Experience building dashboards and automated reporting using visualization tools (e.g., Tableau)
• Industry experience in payments, eCommerce, or financial services is a plus
• Excellent written and verbal communication skills, with the ability to explain complex concepts to both technical and non-technical audiences