Senior Data Engineer

Herbert Smith Freehills Kramer is a world‑leading global law firm. This role is focused on designing, building, and maintaining the firm’s data engineering solutions in Azure cloud environments.

• Manage the capture, storage and dissemination of data in the cloud infrastructure used by the business.
• Build and optimize large, complex data sets that meet functional and non‑functional business requirements.
• Implement data processes that deliver easy access to data domains, enabling self‑service and advanced analytics.
• Design and develop data lake and delta lake technologies for cloud data ingestion, classification, storage, and dissemination.
• Build and manage ETL/ELT pipelines using SQL and Azure big‑data technologies.
• Design and implement data models to enable analysts and data consumers to quickly access needed data, both structured and unstructured.
• Develop analytics technologies to provide actionable insights into customer acquisition, operational efficiency and other key performance metrics.
• Administer Azure databases, ensuring performance tuning, backup, recovery, and routine maintenance.
• Monitor access, audit logs and enforce data masking and encryption at rest and in transit, adhering to strict security protocols.
• Validate data quality using established frameworks and testing methodologies to ensure reliable, trustworthy data.
• Collaborate with stakeholders (Executive, Product, Data, and Design teams) to address data‑related technical issues and support infrastructure needs.
• Maintain separation and security of data across global boundaries through multiple data centres and Azure regions.
• Work with data and analytics experts to improve functionality of data systems.
• Manage data domains with stewards to generate consumable data products.
• Utilise metadata and master data management tools for reference data.
• Lead the technical implementation of the enterprise data warehouse and Power
  
  BI reporting.
• Back‑fill management of the business intelligence/data management team until a manager is appointed.

• 5+ years of experience in a Data Engineer role.
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Advanced SQL knowledge and experience with relational databases and query authoring.
• Experience building and optimizing big‑data pipelines, architectures and datasets.
• Strong analytical skills for working with unstructured data.
• Proficiency in building processes for data transformation, metadata, dependency and workload management.
• Experience with message queuing, stream processing and highly scalable big‑data stores.
• Project management and organisational skills; ability to work cross‑functionally in a dynamic environment.
• Detailed experience in data modelling in cloud environments, both structured and unstructured.
• On‑call support experience for Enterprise Data Warehouse, Global Data Warehouse and global ETL processes.
• Microsoft Azure certifications highly considered (e.g., Azure Data Engineer Associate, DP‑203).
• Working knowledge of Hadoop, Spark, Kafka, Storm, Spark‑Streaming and other big‑data tools.
• Experience with relational and No
  
  SQL databases, data pipeline and workflow management tools.
• Proficiency in Python, Java, C++, Scala or similar scripting languages.
• Experience with Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, Azure Databricks and Power
  
  BI or similar visualisation tools.
• Innovative mindset, curiosity about AI and emerging technologies.

London – Full time – Permanent

We are committed to attracting people from all backgrounds and creating a respectful and inclusive culture where everyone thrives. This is an essential part of our success and a key part of our values – Human, Bold, and Outstanding.