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Airbus Helicopters is seeking a Senior Data Engineer & Architect to lead the CLS Program in data architecture and Alteryx. You will define data strategies, architect robust pipelines, and build self‑service analytics across the enterprise.
The ideal candidate will master Alteryx, have advanced ETL and cloud data platform experience, and manage cross‑functional teams to deliver high‑impact insights and dashboards for maintenance and operations.
Airbus Helicopters is seeking a highly skilled, innovative, and forward-thinking Senior Data Engineer & Architect to lead the CLS Program in the technical and data architect aspect of Alteryx. In this role, you will act as a consultative expert, bridging the gap between complex technical data architecture and strategic business requirements.
The ideal candidate is a master of the Alteryx ecosystem, possessive of an advanced technical background in extract, transform and load (ETL) data engineering, and cloud data platforms, and a proven track record of managing cross-functional teams. You will be responsible for defining data strategies, architecting robust data pipelines, and implementing high-impact dashboards that drive self-service analytics across the enterprise.
Primary Responsibilities 1. Data Architecture & Pipeline Engineering (40%)
Lead the design, deployment, and optimization of complex enterprise-scale data pipelines and workflows. Oversee the migration of legacy code and data workflows into modern cloud data stacks.
Utilize Alteryx and scripting languages (such as Python and SQL) to call third-party APIs via batch macros for on-demand and real-time KPI reporting for repairables and predictive maintenance.
2. Technical Leadership & Project Management (30%)
Drive complex IT strategies and manage end-to-end analytics initiatives using Agile Scrum methodologies.
Convert costly unscheduled maintenance and AOG (Aircraft On Ground) events into scheduled repairs by anticipating faults and warnings through proactive analytics.
Collaborate with the Tech Team to define joint product strategies, delivering unified front-end interfaces for "nose-to-tail" solutions.
3. Stakeholder Engagement & Mentorship (30%)
Maintain a consistent "drumbeat/cadence" of reporting, providing detailed planning, workload assessments, and critical path analysis to executive sponsors.
Partner closely with key business stakeholders, and IT admins to translate complex business challenges into exact technical solutions. Conduct office hours, user groups, and "lunch-and-learns" to mentor client contacts and upskill business teams in data literacy.
Coach and mentor Business Analysts to ensure technical workstreams remain on schedule and properly managed.