5 of 5 Data Architecture Jobs in West London

Lead Data Engineer | Build and Lead a New Data Team I am looking for a Lead Data Engineer to establish and lead a new Data Engineering team. This is a unique opportunity to shape data architecture from the ground up, working with cutting-edge … technology to drive business performance. The Role As the first Data Engineering hire, you will: Design and implement scalable data architectures for efficient storage and access. Build and maintain data pipelines handling terabyte-scale datasets. Work closely with data scientists, analysts, and stakeholders to optimize data solutions. Own the reliability, performance, and scalability of data infrastructure. Recruit and lead a growing team of data engineers. Tech Stack Python (3.10+), Pandas, NumPy PostgreSQL (TimescaleDB), SQL optimization RabbitMQ, ZeroMQ, Linux servers Prometheus, Grafana, Zabbix Requirements 5+ years of Data Engineering experience with expertise in More ❯

Lead Data Engineer | Build and Lead a New Data Team I am looking for a Lead Data Engineer to establish and lead a new Data Engineering team. This is a unique opportunity to shape data architecture from the ground up, working with cutting-edge … technology to drive business performance. The Role As the first Data Engineering hire, you will: Design and implement scalable data architectures for efficient storage and access. Build and maintain data pipelines handling terabyte-scale datasets. Work closely with data scientists, analysts, and stakeholders to optimize data solutions. Own the reliability, performance, and scalability of data infrastructure. Recruit and lead a growing team of data engineers. Tech Stack Python (3.10+), Pandas, NumPy PostgreSQL (TimescaleDB), SQL optimization RabbitMQ, ZeroMQ, Linux servers Prometheus, Grafana, Zabbix Requirements 5+ years of Data Engineering experience with expertise in More ❯

Dynamics, etc.) while also driving internal AI experimentation and ensuring compliance, governance, and architectural best practices. This is an ideal move for a seasoned Data Scientist or Lead Data Engineer looking to step into AI leadership. Key Responsibilities Lead and streamline AI initiatives (10-15 per year), ensuring … technologies . Identify AI opportunities across regulated content, IoT, R&D, and commercial optimisation. Collaborate with key stakeholders in product innovation, corporate finance, and data architecture . About You Strong background in Data Science, AI, or Data Engineering . Experience in a regulated industry (MedTech, Pharmaceuticals … CPG, etc.) is a plus. Expertise in AI governance, cloud architecture, and compliance frameworks . Hands-on experience with Azure-based AI solutions (Azure Functions, Databricks, Snowflake, etc.). Ability to balance hands-on technical work with high-level strategic thinking . Excellent stakeholder management and communication skills . More ❯

HR department and interdepartmentally (Finance, Technology etc) Effectively manage the Fusion eco-system (including but not limited to security profiles, table structures, org structures, data integrity & data quality etc) Provide Subject Matter Expertise to support the Group in leveraging the HRIS ecosystem to drive operational & management efficiencies in … Screening vendors, Employee Benefit providers, Job aggregator, Job boards etc) Ensure all HRIS system updates are implemented effectively and with minimum disruption. Maintain the data architecture of all HRIS & associated integrations. Ensure Data Protection obligations are met in all jurisdictions at all times. Provide accurate, consistent MI More ❯

HR department and interdepartmentally (Finance, Technology etc) Effectively manage the Fusion eco-system (including but not limited to security profiles, table structures, org structures, data integrity & data quality etc) Provide Subject Matter Expertise to support the Group in leveraging the HRIS ecosystem to drive operational & management efficiencies in … Screening vendors, Employee Benefit providers, Job aggregator, Job boards etc) Ensure all HRIS system updates are implemented effectively and with minimum disruption. Maintain the data architecture of all HRIS & associated integrations. Ensure Data Protection obligations are met in all jurisdictions at all times. Provide accurate, consistent MI More ❯