Data Engineer jobs in United Kingdom

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.

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.

• 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.

• Optimize SQL queries, Cypher queries, and indexing for high-volume datasets.
• Monitor and tune BigQuery cost-performance and Neo4j performance.
• Ensure high availability, disaster recovery, and backup strategies for critical data assets.

• 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.

• 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.

• 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.

• 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.
• 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.

• 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.

• Graph DB: Neo4j, Cypher, APOC procedures.
• Data Tools: Python, SQL, ETL frameworks, BI tools (Looker preferred).

Flexible arrangements, competitive salary, comprehensive health plans, professional development opportunities, and a culture that values innovation and diversity.

We’re proud to say we’re an equal‑opportunity employer and welcome all applicants for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status, or any other protected characteristic. If you need reasonable accommodations during the recruitment process, please let us know so we can support you.