1 to 25 of 31 Delta Lake Jobs in London

. Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in cloud platforms (preferably Azure) and services such as Data Lake, Synapse, Event Hubs, and Functions. Authoring reports and dashboards with either open source or commercial products (e.g. PowerBI, Plot.ly, matplotlib) Programming OOP DevOps Web technologies HTTP/S REST … APIs Experience with time-series databases (e.g., InfluxDB, kdb+, TimescaleDB) and real-time data processing. Familiarity with distributed computing and data warehousing technologies (e.g., Spark, Snowflake, Delta Lake). Strong understanding of data governance, master data management, and data quality frameworks. Solid grasp of web technologies and APIs (REST, JSON, XML, authentication protocols). Experience with DevOps practices More ❯

in building and deploying modern data solutions based on Azure Databricks, enabling faster and more informed business decisions. You'll work hands-on with Azure Databricks, Azure Data Factory, Delta Lake, and Power BI to design scalable data pipelines, implement efficient data models, and ensure high-quality data delivery. This is a great opportunity to shape the future … within the organisation while working with advanced cloud technologies. Key Responsibilities and Deliverables Design, develop, and optimise end-to-end data pipelines (batch & streaming) using Azure Databricks, Spark, and Delta Lake. Implement Medallion Architecture to structure raw, enriched, and curated data layers efficiently. Build scalable ETL/ELT processes with Azure Data Factory and PySpark. Support data governance initiatives … Collaborate with analysts to validate and refine datasets for reporting. Apply DevOps and CI/CD best practices (Git, Azure DevOps) for automated testing and deployment. Optimise Spark jobs, Delta Lake tables, and SQL queries for performance and cost-effectiveness. Troubleshoot and proactively resolve data pipeline issues. Partner with data architects, analysts, and business teams to deliver end More ❯

key role in the design and delivery of advanced Databricks solutions within the Azure ecosystem. Responsibilities: Design, build, and optimise end-to-end data pipelines using Azure Databricks, including Delta Live Tables. Collaborate with stakeholders to define technical requirements and propose Databricks-based solutions. Drive best practices for data engineering. Help clients realise the potential of data science, machine … Support with planning, requirements refinements, and work estimation. Skills & Experiences: Proven experience designing and implementing data solutions in Azure using Databricks as a core platform. Hands-on expertise in Delta Lake, Delta Live Tables and Databricks Workflows. Strong coding skills in Python and SQL, with experience in developing modular, reusable code in Databricks. Deep understanding of lakehouse More ❯

least 10 years' experience in Business Intelligence, with 5+ years in a BI leadership role in a global or matrixed organisation . Proven expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch Processing). Demonstrated experience delivering cloud-based analytics platforms (Azure, AWS, GCP). Strong knowledge of data governance, cataloguing, security, automation, and self … The Head of Data Engineering & Insight will work within a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine More ❯

least 10 years' experience in Business Intelligence, with 5+ years in a BI leadership role in a global or matrixed organisation . Proven expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch Processing). Demonstrated experience delivering cloud-based analytics platforms (Azure, AWS, GCP). Strong knowledge of data governance, cataloguing, security, automation, and self … The Head of Data Engineering & Insight will work within a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine More ❯

solution design. Requirements Proven experience as a Data Engineer in cloud-first environments. Strong commercial knowledge of AWS services (e.g. S3, Glue, Redshift). Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands-on experience with workflow orchestration tools More ❯

Data Platform and Services, you'll not only maintain and optimize our data infrastructure but also spearhead its evolution. Built predominantly on Databricks, and utilizing technologies like Pyspark and Delta Lake, our infrastructure is designed for scalability, robustness, and efficiency. You'll take charge of developing sophisticated data integrations with various advertising platforms, empowering our teams with data … decision-making What you'll be doing for us Leadership in Design and Development : Lead in the architecture, development, and upkeep of our Databricks-based infrastructure, harnessing Pyspark and Delta Lake. CI/CD Pipeline Mastery : Create and manage CI/CD pipelines, ensuring automated deployments and system health monitoring. Advanced Data Integration : Develop sophisticated strategies for integrating data More ❯

real interest in doing this properly - not endless meetings and PowerPoints. What you'll be doing: Designing, building, and optimising Azure-based data pipelines using Databricks, PySpark, ADF, and Delta Lake Implementing a medallion architecture - from raw to curated Collaborating with analysts to make data business-ready Applying CI/CD and DevOps best practices (Git, Azure DevOps More ❯

conversations in the team and contribute to deep technical discussions Nice to Have Experience with operating machine learning models (e.g., MLFlow) Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift) DevOps skills, including terraform and general CI/CD experience Previously worked in agile environments Experience with expert systems Perks & Benefits Comprehensive benefits package Fitness reimbursement Veeva Work-Anywhere More ❯

unify and democratize data, analytics 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 perks that meet the More ❯

unify and democratize data, analytics 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 perks that meet the More ❯

in the UK, EU and other countries in Latin America. We are looking for someone who has: At least 3 years experience with Databricks data platform (setting up workspaces, delta lake, ingestion and transformation workflows, data catalogs, ) Solid experience in architecture design and technical leadership Solid experience designing, developing and deploying pipelines, data-lakes, data meshes and other More ❯

in the UK, EU and other countries in Latin America. We are looking for someone who has: At least 3 years experience with Databricks data platform (setting up workspaces, delta lake, ingestion and transformation workflows, data catalogs, ) Solid experience in architecture design and technical leadership Solid experience designing, developing and deploying pipelines, data-lakes, data meshes and other More ❯

Our platform unifies data, analytics, and AI, enabling organizations to democratize data access and insights. Headquartered in San Francisco, Databricks was founded by the creators of Lakehouse, Apache Spark, Delta Lake, and MLflow. To learn more, follow us on Twitter, LinkedIn, and Facebook. Benefits We offer comprehensive benefits tailored to regional needs. For details, visit our benefits page More ❯

unify and democratize data, analytics 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 perks that meet the More ❯

unify and democratize data, analytics 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 perks that meet the More ❯

unify and democratize data, analytics 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 perks that meet the More ❯

expert guidance and best practices for Apache Spark and cloud data architecture What we’re looking for: Certified Databricks Champion with proven hands-on experience Strong knowledge of Spark, Delta Lake, and cloud platforms (Azure/AWS) Excellent problem-solving skills and ability to work independently UK-based freelancer able to work inside IR35 regulations Details: Location: UK More ❯

unify and democratize data, analytics 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 perks that meet the More ❯

unify and democratize data, analytics 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 perks that meet the More ❯

unify and democratize data, analytics 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 perks that meet the More ❯

a fast-paced and agile environment What We're Looking For : Essential Skills : Solid DevOps experience including GitHub Actions and Jenkins Proficient in Python and shell scripting Experience with Delta Lake table formats Strong data engineering background Proven experience working with large datasets Nice to Have : Familiarity with Airflow Background in full stack development Team & Culture : Join a More ❯

a fast-paced and agile environment What We're Looking For : Essential Skills : Solid DevOps experience including GitHub Actions and Jenkins Proficient in Python and shell scripting Experience with Delta Lake table formats Strong data engineering background Proven experience working with large datasets Nice to Have : Familiarity with Airflow Background in full stack development Team & Culture : Join a More ❯

unify and democratize data, analytics 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. For specific details on the More ❯

unify and democratize data, analytics 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 perks that meet the More ❯