code repositories, and automation. Requirements 5+ Years experience in the Data and Analytics Domain. Previous Management experience is preferred. Strong expertise in Databricks (Spark, DeltaLake, Notebooks). Advanced knowledge of SQL development. • Familiarity with Azure Synapse for orchestration and analytics. Working experience with Power BI for reporting More ❯
Experience in open-source technologies like Spark, Kafka, Beam understanding of Cloud tools such as AWS, Microsoft Azure or Google Cloud Familiarity with DBT, DeltaLake, Databricks Experience working in an agile environment About Us We are Citation. We are far from your average service provider. Our colleagues More ❯
potential to extend). This is a fully remote role and sits outside IR35. Key Requirements: Significant experience designing and scaling cloud-based data lake architectures (ideally DeltaLake on Databricks or similar) Deep expertise in workflow orchestration using Airflow, with production-grade DAGs and solid dependency More ❯
Stevenage, Hertfordshire, South East, United Kingdom Hybrid / WFH Options
IET
architecture, ensuring alignment with best practices and strategic goals. Drive the adoption of Azure data technologies such as Fabric, Data Factory, Databricks, Synapse, and Delta Lake. Develop and maintain scalable data pipelines, ensuring efficient data ingestion, transformation, and storage. Introduce and enhance self-service reporting capabilities for stakeholders across More ❯
basic scripts) LANGUAGES/FRAMEWORKS JSON YAML Python (as a programming language, not just able to write basic scripts) Pydantic experience DESIRABLE SQL PySpark DeltaLake Bash (both CLI usage and scripting) Git Markdown Scala DESIRABLE Azure SQL Server as a HIVE Metastore DESIRABLE TECHNOLOGIES Azure Databricks Apache … Spark Delta Tables Data processing with Python PowerBI (Integration/Data Ingestion) JIRA If you meet the above requirements, please apply for the vacancy to be contacted by an Experis Consultant. If you haven't been contacted within 2 weeks of application, please consider the vacancy closed . 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 DeltaLake, Medallion Architecture, and Lakehouse patterns for structured and semi-structured data. Ensure best practices in Azure networking, security, and federated data access More ❯
quality, and performance Utilise Azure Databricks and adhere to code-based deployment practices Essential Skills: Over 3 years of experience with Databricks (including Lakehouse, DeltaLake, PySpark, Spark SQL) Strong proficiency in SQL with 5+ years of experience Extensive experience with Azure Data Factory Proficiency in Python programming 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, DeltaLake, and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 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, DeltaLake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and More ❯
SQL and Python Prior experience designing solutions on the Databricks Data Intelligence platform, either on Azure or AWS Good knowledge of Databricks components including DeltaLake, Unity Catalogue, ML Flow etc. Experience building data pipelines and ETL processes Experience with any of the following is highly desirable: Snowflake, Kafka, Azure Data More ❯
SQL and Python Prior experience designing solutions on the Databricks Data Intelligence platform, either on Azure or AWS Good knowledge of Databricks components including DeltaLake, Unity Catalogue, ML Flow etc. Experience building data pipelines and ETL processes Experience with any of the following is highly desirable: Snowflake, Kafka, Azure Data More ❯
SQL and Python Prior experience designing solutions on the Databricks Data Intelligence platform, either on Azure or AWS Good knowledge of Databricks components including DeltaLake, Unity Catalogue, ML Flow etc. Experience building data pipelines and ETL processes Experience with any of the following is highly desirable: Snowflake, Kafka, Azure Data More ❯
and building end-to-end data pipelines. Proficient in Python and/or Scala; solid understanding of SQL and distributed computing principles. Experience with DeltaLake, Lakehouse architecture, and data governance frameworks. Excellent client-facing and communication skills. Experience in Azure Data Services is desirable (e.g. Azure Data … Lake, Synapse, Data Factory, Fabric). More ❯
standards and drive excellence in engineering practices. Architect and oversee the development of cloud-native data infrastructure and pipelines using Databricks , Python , PySpark , and DeltaLake . Guide the implementation of embedded analytics, headless APIs, and real-time dashboards for customer-facing platforms. Partner with Product Owners and … in data/analytics engineering, including 2+ years in a leadership or mentoring role. Strong hands-on expertise in Databricks , Spark , Python , PySpark , and Delta Live Tables . Experience designing and delivering scalable data pipelines and streaming data processing (e.g., Kafka , AWS Kinesis , or Azure Stream Analytics ). Background More ❯
standards and drive excellence in engineering practices. Architect and oversee the development of cloud-native data infrastructure and pipelines using Databricks , Python , PySpark , and DeltaLake . Guide the implementation of embedded analytics, headless APIs, and real-time dashboards for customer-facing platforms. Partner with Product Owners and … in data/analytics engineering, including 2+ years in a leadership or mentoring role. Strong hands-on expertise in Databricks , Spark , Python , PySpark , and Delta Live Tables . Experience designing and delivering scalable data pipelines and streaming data processing (e.g., Kafka , AWS Kinesis , or Azure Stream Analytics ). Background More ❯
team of 45 people, including Data Scientists, ML Engineers and 2 Data Engineers. Day‑to‑day you will: Monitor, optimise and rebuild ETL/DeltaLake workflows in Databricks. Migrate legacy ingestion jobs to modern, cloud‑native patterns (Azure preferred, some AWS/GCP). Collaborate with scientists More ❯
Coventry, Warwickshire, United Kingdom Hybrid / WFH Options
Cadent Gas
in SAP Datasphere or SAP BW4/Hana Advanced skills in SQL, data modelling, and data transformation Familiarity with Databricks, Apache Spark, PySpark, and DeltaLake Agile mindset with experience in DevOps and iterative delivery Excellent communication and stakeholder engagement abilities At Cadent, we're thrilled to be More ❯
expert proven to deliver fast-paced releases. You will have worked with the latest Azure data platform technologies, particularly Azure Data Factory, Azure Data Lake Storage and Azure Databricks. Hands on experience of working in Databricks. In particular design and usage of the DeltaLake storage format. More ❯
expert proven to deliver fast-paced releases. You will have worked with the latest Azure data platform technologies, particularly Azure Data Factory, Azure Data Lake Storage and Azure Databricks. Hands on experience of working in Databricks. In particular design and usage of the DeltaLake storage format. More ❯
with 3+ years leading Databricks-based solutions. Proven experience in a consulting environment delivering large-scale data platform projects. Hands-on expertise in Spark, DeltaLake, MLflow, Unity Catalog, and DBSQL. Strong proficiency in Python, SQL, and at least one major cloud platform (AWS, Azure, or GCP). More ❯
with 3+ years leading Databricks-based solutions. Proven experience in a consulting environment delivering large-scale data platform projects. Hands-on expertise in Spark, DeltaLake, MLflow, Unity Catalog, and DBSQL. Strong proficiency in Python, SQL, and at least one major cloud platform (AWS, Azure, or GCP). 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, DeltaLake, and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 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, DeltaLake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits More ❯
implementation experience with Microsoft Fabric (preferred), along with familiarity with Azure Synapse and Databricks. Experience in core data platform technologies and methods including Spark, DeltaLake, Medallion Architecture, pipelines, etc. Experience leading medium to large-scale cloud data platform implementations, guiding teams through technical challenges and ensuring alignment More ❯
implementation experience with Microsoft Fabric (preferred), along with familiarity with Azure Synapse and Databricks. Experience in core data platform technologies and methods including Spark, DeltaLake, Medallion Architecture, pipelines, etc. Experience leading medium to large-scale cloud data platform implementations, guiding teams through technical challenges and ensuring alignment More ❯