14 of 14 Remote Delta Lake Jobs in London

Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields. Proven experience in Databricks and its ecosystem (Spark, Delta Lake, MLflow, etc.). Strong proficiency in Python and R for data analysis, machine learning, and data visualization. In-depth knowledge of cloud More ❯

Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields. Proven experience in Databricks and its ecosystem (Spark, Delta Lake, MLflow, etc.). Strong proficiency in Python and R for data analysis, machine learning, and data visualization. In-depth knowledge of cloud More ❯

London) Start: Immediate Key expertise and experience we're looking for: Data Engineering in Databricks: Spark programming with Scala, Python, SQL Ideally experience with Delta Lake Databricks workflows, jobs, etc. Familiarity with Azure Data Lake: experience with data ingestion and ETL/ELT frameworks Data Governance experience More ❯

London) Start: Immediate Key expertise and experience we're looking for: Data Engineering in Databricks - Spark programming with Scala, Python, SQL Ideally experience with Delta Lake Databricks workflows, jobs, etc. Familiarity with Azure Data Lake: experience with data ingestion and ETL/ELT frameworks Data Governance experience More ❯

spoke data architecture models , ensuring alignment with business and regional data strategies. Provide thought leadership on modern data platforms , including Lakehouse, Medallion Architecture, and Delta Lake best practices. Ensure seamless integration of analytics, AI/ML, and BI capabilities within the platform architecture. Oversee and enforce enterprise data More ❯

Azure Storage, and Azure ML Proficiency in managing and optimizing cloud resources for performance and cost-efficiency Extensive experience with Databricks, including Spark SQL, Delta Lake, and Databricks clusters Experience in deploying, monitoring, and optimizing machine learning models in a production environment Proficiency in programming languages such as More ❯

Azure Storage, and Azure ML. Proficiency in managing and optimizing cloud resources for performance and cost-efficiency. Extensive experience with Databricks, including Spark SQL, Delta Lake, and Databricks clusters. Experience in deploying, monitoring, and optimizing machine learning models in a production environment. Proficiency in programming such as Python More ❯

performance, scalability, and security. Collaborate with business stakeholders, data engineers, and analytics teams to ensure solutions are fit for purpose. Implement and optimise Databricks Delta Lake, Medallion Architecture, and Lakehouse patterns for structured and semi-structured data. Ensure best practices in Azure networking, security, and federated data access More ❯

focus on Lakehouse Architecture and AI-driven analytics Advising on data strategies, governance, and best practices Building scalable ETL pipelines using Databricks Workflows and Delta Live Tables Presenting architectural decisions to key stakeholders Ensuring performance optimisation, cost efficiency, and security across Databricks environments What We're Looking For: Proven … experience in data architecture, analytics, and engineering Expertise in Databricks, Delta Lake, Spark, and PySpark Strong programming skills in Python, Scala, or SQL Hands-on experience with Azure, AWS, or GCP Knowledge of data governance and security best practices Certifications in Databricks or cloud platforms are highly desirable More ❯

help the team do better and be better, again and again Write maintainable, testable code and enjoy providing code reviews Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance Be strong in Pandas, SQL More ❯

and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and More ❯

Guide and mentor technical teams on best practices Requirements: Strong experience as a Solution Architect in Databricks and cloud platforms Expertise in Apache Spark, Delta Lake, and data lakehouse architectures Hands-on with Azure, AWS, or GCP (Azure preferred) Excellent client-facing and stakeholder management skills Why Join More ❯

cloud infrastructure architecture across Azure, AWS, or GCP Strong understanding of networking, security, and governance in cloud environments Experience with data platforms, including Databricks, Delta Lake, and Kubernetes Proficiency in Infrastructure as Code (Terraform, Bicep, CloudFormation) Knowledge of identity and access management (IAM), encryption, and cloud security principles More ❯

and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. More ❯