14 of 14 Permanent Delta Lake Jobs in London

as a Solution/Enterprise Architect within a large enterprise environment. Cloud & Data Expertise: Deep expertise in Microsoft Azure cloud services, particularly for data analytics and engineering, including Databricks (Delta Lake architecture, optimisation, and advanced data processing). API & Integration: Extensive experience with API and integration architecture and implementation. Solution Development: Demonstrated ability to develop comprehensive solution architecture … to satisfy complex business problems. Data Modelling: Expertise in data modelling (conceptual, logical, and physical) and experience with data warehousing and data lake architecture for high-performance analytics. Communication & Influence: Excellent communication, collaboration, and strong stakeholder management skills across all levels of an organisation. Ability to document and present complex data architectures to technical and non-technical stakeholders. Problem … creating high-level architectural diagrams. Data Expertise: Design and optimise data models (conceptual, logical, and physical), data integration strategies, ETL/ELT pipelines, and data processing frameworks using Databricks, Delta Lake, and other Azure data services. You will also be responsible for reviewing and validating existing data models. End-to-End Solution Delivery: Drive the end-to-end More ❯

market and products (we can teach that), but a passion for the transition to net zero is an excellent start What We Work With dbt for data modelling Databricks Delta Lake for data lake and warehouse storage and querying Python as our main programming language Jupyter and Jupyter Hub for notebook analytics and collaboration Circle CI for … deployment AWS cloud infrastructure Kubernetes for data services and task orchestration Google Analytics, Amplitude and Firebase for client applications event processing Airflow for job scheduling and tracking Parquet and Delta file formats on S3 for data lake storage Streamlit for data applications Why else you'll love it here Wondering what the salary for this role is? Just More ❯

Experience: 5 years of experience in a data engineering or similar technical role Hands-on experience with key Microsoft Azure services: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure SQL Database Solid understanding of data modeling, ETL/ELT, and warehousing concepts Proficiency in SQL and one or more programming languages (e.g., Python, Scala) Exposure to … Familiarity with software testing methodologies and development team collaboration Experience working with Power BI and DAX Strong documentation, communication, and stakeholder engagement skills Preferred Qualifications: Experience with Lakehouse architecture, Delta Lake, or Databricks Exposure to Agile/Scrum working practices Microsoft certifications (e.g., Azure Data Engineer Associate) Background in consulting or professional services Understanding of data governance and More ❯

design of scalable, secure data architectures on AWS. Build and optimise ETL/ELT pipelines for batch and streaming data. Deploy and manage Apache Spark jobs on Databricks and Delta Lake. Write production-grade Python and SQL for large-scale data transformations. Drive data quality, governance, and automation through CI/CD and IaC. Collaborate with data scientists, analysts More ❯

or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling, data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate More ❯

or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling, data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate More ❯

or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling, data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate More ❯

or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling, data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate 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 ❯

primarily in Python and SQL) in cloud environments, with an emphasis on scalability, code clarity, and long-term maintainability Hands-on experience with Databricks and/or Spark, especially Delta Lake, Unity Catalog, and MLflow Deep familiarity with cloud platforms, particularly AWS and Google Cloud Proven ability to manage data architecture and production pipelines in a fast-paced 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 needs 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 needs More ❯

Data Pipelines Experience with modern data stacks is essential for building robust, scalable data pipelines across cloud and hybrid platforms. Key technologies include: Spark Databricks Python/Scala SQL Delta Lake Airflow Experience with Containerization and Orchestration Proficiency in containerization tools like Docker and Kubernetes, as well as understanding orchestration workflows, is highly beneficial for Data Architects. More ❯

and Kubernetes is a plus! A genuine excitement for significantly scaling large data systems Technologies we use (experience not required): AWS serverless architectures Kubernetes Spark Flink Databricks Parquet. Iceberg, Delta lake, Paimon Terraform Github including Github Actions Java PostgreSQL About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using More ❯