• Build and maintain high-quality LookML models, ensuring the semantic layer is enriched with accurate labels, descriptions, synonyms, and business logic that AI tools — including Looker Conversational Analytics and external LLMs — can reliably consume; • Design and configure domain-focused Data Agents with well-structured instructions, Golden Queries, and scoped context governance to deliver accurate and trustworthy conversational analytics; • Develop and maintain CI/CD pipelines that automate metadata governance, including AI-assisted description generation, DDL synchronization, and semantic consistency checks; • Build reusable AI skills, tools, and workflows that allow analysts and stakeholders to interact with governed data through natural language interfaces; • Partner with Data Analysts, Data Engineers, and business stakeholders to translate vague or poorly defined business questions into well-defined, measurable data models and agent instructions; • Identify opportunities to improve the quality and reliability of AI-generated insights by improving context structure, metadata coverage, and semantic layer precision; • Develop recommendations and drive improvements to data standards, processes, and definitions; • Contribute to cross-team guidelines and best practices for responsible AI usage with data.

Role Description You will be: - Building and refining the analytical layer on top of the data platform supporting CRM sourced data. - Preparing data models and curated datasets for analytics and reporting. - Working closely with Data Engineering and Architecture stakeholders on data readiness and usability. - Translating source system data into business friendly analytical structures. - Supporting quality, consistency, and usability of analytics ready datasets. Qualifications - Proven experience in an Analytics Engineer, Analytics Developer, or highly technical BI / data modelling role. - Strong SQL skills. - Experience working with modern cloud data platforms, preferably Databricks. - Experience modelling analytical datasets for reporting and business consumption. - Ability to work closely with Data Engineers and business stakeholders. - Experience with Azure based data environments. - Experience working with CRM sourced data or other business application data. - Understanding of upstream ingestion and transformation processes. - Familiarity with semantic modelling, dimensional modelling, or analytics focused data design. - Experience improving data usability, consistency, and reporting readiness. Requirements - Work from the European Union region and a work permit are required. Benefits - Nice to have: - Experience with BI tools and reporting environments. - Basic Python knowledge for working with data. - Familiarity with orchestration or workflow driven data environments. - Experience in enterprise or regulated environments. - Exposure to energy, utilities, or similar business domains. Recruitment Process - CV review - HR call - Technical Interview - Client Interview - Decision

Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Data Integration and Analytics Developer to support our Data Integration and Analytics (DI&A) Team virtually. This position will focus on supporting the Engineering & Technology Innovation business organization. This role will be responsible for database architecture and tool development, supporting aggregation of structured and unstructured data. Data is found across various formats, including data warehouses, SharePoint, or file shares. Data also may be mined from PDF documents, drawings, or legacy databases. The DI&A team unifies engineering, standards, chemical and cost data into discoverable information that delivers actionable insights, accelerating selection, reuse, and technology transition. The integration team develops processes, methods and tools to multiply the productivity and effectiveness of the entire organization through consolidated data visibility. Examples include hazardous material reporting, web-based tools for engineering product reuse, data automation and LLM chatbot integration. Position Responsibilities: - Design and develop database systems to integrate data from numerous sources, improve data quality, and support clean and efficient data mining and management. - Design and maintain database security architecture. - Experience with Oracle, AWS, Google Cloud Foundry, and Microsoft SQL Server - Develop and map XML schema to support data import from and export to an Oracle database. - SQL coding and PowerBI expertise with capacity to perform research to develop and comprehend existing code. - Establish related data tables, views, constraints, triggers as well as stored procedures and functions using both T-SQL and PL/SQL to support data import, export, reporting, tracking and quality checking. - Utilizing PL/SQL and JavaScript within Oracle Application Express (APEX) environment to establish a web-based application, including dynamic actions and complex table operations. - Ability to understand complex data analysis and mining solutions and how they impact automation in data reporting. - Ability to apply a structured approach to problem solving with thoroughness and increased attention to detail. Basic Qualifications: - Bachelor's Degree or higher from an accredited course of study in engineering, computer science, mathematics, physics or chemistry AND 5 or more years' of related work experience OR an equivalent combination of technical education and experience (Ex: PhD, Master's + 3 or more years' related work experience) - 10 years' experience working with large database systems - Experience in SQL programming and database management systems (e.g., Microsoft SQL Server, Oracle, MySQL, PostgreSQL)?with Oracle SQL and PL/SQL coding Desired Experiences, Skills, and Qualifications: - Formal Analytics Background - Demonstrated ability to work in a team dynamic - Ability to analytically solve problems and proactively seek out information - Expertise in Microsoft Excel - Experience developing web applications using Oracle APEX - Experience working extensively in a team dynamic - Experience designing and performing Extract, Transform, and Load (ETL) activities - Experience with Power Pivot, Power Query- DAX, and Excel templates consisting of VBA scripts - Familiarity with Power BI Report Server - Experience with Oracle, AWS, Google Cloud Foundry, and Microsoft SQL Server - Experience with Microsoft Project Web App (PWA) / Project Server - Experience coding in C# - Familiarity with Gitlab version control - Understand how to extract and/or integrate information from various data sources (MS SQL Server, Teradata, Oracle, XML, CSV, JSON) - Experience working with enterprise material data systems - Experience with Boeing Material and Process Specifications Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Senior Level (Level 4): $158,950- $215,050 Applications for this position will be accepted until Jun. 19, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

• Design and develop data serving and semantic layers to support business needs ranging from traditional reporting to reverse ETL and LLM/AI implementations. • Develop data models for use by analysts and applications from across the business using modern dimensional modeling practices to efficiently serve accurate, consistent data. • Build and maintain robust, scalable data pipelines to extract, transform, and load (ETL, ELT) data from various sources into the data platform using both batch processing and event-driven patterns. • Create efficient, performant data models to support business requirements and analytics needs. • Implement and automate data quality checks and monitoring to ensure data accuracy and drive observability. • Manage, troubleshoot and optimize existing data infrastructure, including cloud-based solutions and on-premises systems. • Leverage cloud data platforms (Fabric, Databricks, Snowflake, etc.) for data storage, processing, and analysis. • Work closely with data analysts, data scientists, and business stakeholders to understand their data needs and deliver solutions. • Identify and resolve data-related issues and challenges for technical and non-technical stakeholders. • Support company-wide projects ranging from server migrations to mergers and acquisitions as a data and systems expert. • Automate data processes to improve efficiency and reduce manual effort. • Implement modern concepts like metadata-driven pipelines and Infrastructure-as-Code that will play a key role in a scalable, resilient data platform. • Document data processes, architecture, and workflows.