15 of 15 Delta Lake Jobs in London

work at home 100% of the time. Your Role: Design, develop, and optimise large-scale cloud data platforms using Azure Data Factory, Data Lake, Key Vault, Azure Functions, Databricks, Delta Lake, PySpark, and Unity Catalog. Collaborate with underwriting, actuarial, Delegated Authority, bordereaux, exposure management, reinsurance, finance … continuous improvement. Your Skills: Expert-level hands-on experience with Azure Data Services and Databricks in enterprise, highly regulated environments. Deep understanding of Delta Lake, Medallion architecture, Lakehouse patterns, distributed compute, data modelling, and performance optimisation. Strong programming skills in Python, PySpark, and Spark SQL, with experience implementing ...

modern cloud data platform. Key Responsibilities Design and implement scalable data models within Databricks. Transform raw datasets into curated, analytics-ready data products using Delta Lake and Spark. Build and maintain semantic layers for business reporting. Translate stakeholder requirements into technical specifications. Define KPIs and controlled vocabulary across … governance standards. Support CI/CD processes and version control workflows. Required Experience Strong SQL expertise (data modelling & optimisation). Hands-on Databricks experience (Delta Lake + Spark). Experience with dbt or similar transformation frameworks. Python for data manipulation and automation. Azure cloud experience. Familiarity with ...

forward-thinking, data-driven organisation. If you thrive bridging the gap between data engineering and analytics, and enjoy working with tools like Databricks, Delta Lake, Spark, and dbt, this is an exciting short-term opportunity. What You'll Do: Transform raw data into structured, reliable datasets … workflows, SQL queries, and Databricks pipelines for performance. What We're Looking For: Strong SQL and data modelling skills. Hands-on experience with Databricks, Delta Lake, Spark, and preferably dbt. Python for data manipulation and automation. Familiarity with BI tools (Power BI) and cloud platforms (Azure). Understanding ...

PySpark and Spark SQL Proficiency with Python for data engineering Experience delivering solutions on cloud data platforms ( AWS preferred , Azure acceptable) Understanding of data lake and lakehouse architectures Ability to work autonomously and collaboratively within delivery squads Experience working within Central Government departments (highly desirable) Desirable Azure Data Lake, Synapse, Delta Lake Streaming technologies (Kafka, Event Hubs ...

with excellent communication skills. Technical Stack: Languages: Python (primary), SQL, Bash Cloud: Azure, AWS Tools: MLflow, Azure ML, Airflow, Docker, Fargate, FastAPI Data: Snowflake, Delta Lake, Redis, Azure Data Lake Infra & Ops: Terraform, GitHub Actions, Azure DevOps, Grafana, Azure Monitor Desirable skills/knowledge/experience: Knowledge … data platforms (e.g. Snowflake, Azure Data Lake). Experience deploying models as APIs (FastAPI, Azure Functions). Understanding of monitoring, model performance tracking, and observability best practices. ...

help modernise legacy data estates and embed strong data engineering standards. Key Responsibilities: Build and operate scalable data pipelines using Microsoft Fabric (OneLake/Delta Lake, Data Factory, Synapse Data Engineering). Develop batch processing solutions using PySpark, Spark SQL, Python, and SQL , with a focus on performance ...

Spark) o Data Warehouse (SQL endpoints, schemas, MPP performance tuning) o Real-Time Analytics (KQL databases, event ingestion) o Manage and enhance OneLake architecture, delta lake tables, security policies, and data governance within Fabric. o Build scalable, reusable data assets and engineering patterns that support analytics, reporting ...

cloud data strategy, define engineering best practice and guide delivery across cross-functional teams. Responsibilities Build and optimise Azure data platforms using ADF, Data Lake, Azure Functions and Databricks Deliver reliable, high-quality data pipelines Work with stakeholders to ensure solutions meet Lloyd's of London regulatory, audit … Data Services and Databricks in enterprise environments. Proven delivery experience within the Lloyd's of London or London Market insurance sector Deep understanding of Delta Lake, Medallion architecture, Lakehouse patterns and data modelling. Strong Python, PySpark and Spark SQL capability Solid understanding of data governance Proven track record ...

consumption layers Technology Leadership Evaluate and recommend modern data technologies and tooling Stay current with industry trends such as open table formats (Apache Iceberg, Delta Lake), data observability, and cloud-native services Lead proofs-of-concept and technical assessments for new technologies Ensure the data architecture remains modern ...

streamlined data analysis, product builds and reduced time to market Competencies and Behaviours 1 -3 years analytics/data science experience Practical knowledge of; Delta Lake architecture and versioned datasets, Data pipelines, orchestration and scheduling concepts Proficiency in analytical programming language such as python and/ ...

Spark. Strong grasp of data modelling, normalization and API development for large scale analytical or trading systems. Experience with lakehouse architectures (Databricks ideally, or Delta Lake). Exposure to real time and historical market data within Fixed Income, ETFs or Equities would be excellent. Operational instincts - extreme agency ...

/ELT development, PySpark, Glue Catalog) Apache Spark AWS Redshift (modelling, optimisation) AWS Lambda AWS RDS AWS Step Functions Experience with Open Table Formats: Delta Lake Apache Hudi Strong knowledge of S3-based data lakes and modern cloud-native data architectures Data Engineering & Architecture Skills Dimensional Modelling (Star ...

components to the position: Define the long-term technical vision and roadmap for our modern Data Platform, Mobius (including Data Warehousing, Data Lake, Streaming, and Governance tooling). Design and govern the reference architecture for core data infrastructure, ensuring optimal scalability, reliability, and security. Act as a hands … software and data engineering, with provable experience operating at a Principal, Staff, or equivalent level. Deep proficiency across the modern data stack (Snowflake, BigQuery, Delta Lake, Iceberg, Kafka, Flink). Proven track record designing scalable, self-service data platforms using cloud-native services (AWS/GCP) and infrastructure ...

role, focused on building, optimising, and operating Databricks-based Lakehouse solutions across cloud environments. Responsibilities: Design, build, and maintain data pipelines using Databricks (Spark, Delta Lake). Develop batch and streaming workloads using PySpark/Spark SQL. Implement data ingestion, transformation, and orchestration pipelines. Optimise Databricks workloads … GCP. Skills: Strong hands-on expertise with Databricks in production environments. Advanced PySpark and Spark SQL development experience. Experience building lakehouse architectures using Delta Lake. Strong cloud experience in Azure (preferred), AWS, or GCP. Experience with orchestration tools (ADF, Airflow, dbt, or similar). Certifications – Databricks Certified Data Engineer ...

Responsibilities Define and maintain the end-to-end architecture for Azure Databricks-based data platforms. Design Lakehouse architectures using Azure Databricks, Azure Data Lake Storage (ADLS Gen2), and associated Azure services. Produce and maintain High-Level Designs (HLDs) and Low-Level Designs (LLDs). Establish and govern data ingestion … dependencies and support mitigation planning. Essential Skills and Experience Demonstrable experience designing Azure Databricks architectures in enterprise environments. Strong understanding of Databricks Lakehouse architecture, Delta Lake, and governance concepts. Architectural-level knowledge of Spark-based platforms. Experience designing secure, governed data platforms in regulated or public sector environments. ...