Lead Data Engineer at Hitachidigitalservices

Our Company We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. About Us Hitachi Digital is building enterprise-scale data platforms to power AI-driven insights and advanced analytics. We leverage **Google Cloud Platform (GCP)**, **BigQuery**, **Spanner**, and graph technologies to deliver secure, scalable, and intelligent data ecosystems. We are seeking a **Lead Data Engineer** with deep expertise in cloud-native data engineering and graph database integration to design and optimize high-performance data architectures. Role Overview As a Lead Data Engineer, you will architect, develop, and optimize data pipelines, data warehouses, and graph-based solutions. You will lead data modeling, ETL strategies, and integration workflows for structured and graph data, enabling advanced analytics and AI applications across global OpCos. Key Responsibilities – Data Architecture & Engineering • Design and maintain BigQuery data warehouses and Spanner databases for large-scale analytics. • Develop graph schemas and knowledge graphs using Neo4j for contextual data relationships. • Implement ETL pipelines, data transformations, and ingestion strategies for structured and unstructured data. Performance & Optimization • Optimize SQL queries, Cypher queries, and indexing for high-volume datasets. • Monitor and tune BigQuery cost-performance and Neo4j • Ensure high availability, disaster recovery, and backup strategies for critical data assets. Integration & AI Enablement • Integrate graph databases with AI/ML pipelines for semantic search and contextual reasoning. • Enable RAG workflows and knowledge graph-driven AI for enterprise applications. • Collaborate with data science teams to embed graph intelligence into analytics platforms. Governance & Security • Enforce data governance policies, lineage tracking, and compliance standards. • Implement IAM roles, VPC-SC, and data protection controls on GCP. • Document architecture decisions, query patterns, and best practices. Required Qualifications • Bachelor’s or Master’s in Computer Science, Data Engineering, or related field. • 8+ years in data engineering; 3+ years with BigQuery, Spanner, and Neo4j. • Strong proficiency in SQL, Cypher, and data modeling for relational and graph databases. • Hands-on experience with GCP services (BigQuery, Spanner, IAM, VPC-SC, Cloud Storage). • Familiarity with graph algorithms, knowledge graphs, and semantic modeling. • Understanding of ETL pipelines, data governance, and cloud security. Preferred Qualifications • Certifications: Google Professional Data Engineer, Neo4j Certified Professional. • Experience with AI/ML integration, RAG pipelines, and agentic workflows. • Exposure to Looker BI, Power BI, or Tableau for visualization. • Knowledge of LangChain, vector databases, and embedding strategies. Key Competencies • Strong analytical and problem-solving skills. • Ability to design scalable, secure, and performant data architectures. • Collaborative mindset with excellent communication skills. • Passion for graph-driven AI and cloud-native data platforms. Success Metrics • Deployment of optimized BigQuery and Spanner environments for enterprise analytics. • Integration of Neo4j knowledge graphs into AI workflows for contextual intelligence. • Reduction in query latency and cost across large-scale datasets. • Positive impact on data quality, governance, and compliance readiness. What You’ll Work With • Cloud & Data: GCP BigQuery, Spanner, Cloud Storage, IAM, VPC-SC. • Graph DB: Neo4j, Cypher, APOC procedures. • Data Tools: Python, SQL, ETL frameworks, BI tools (Looker preferred). #LI-MS3 About us We’re a global, 1000-stong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.