1 to 25 of 38 Remote Delta Lake Jobs

optimise large-scale data workflows within the Databricks Data Intelligence Platform. The role focuses on delivering high-performing batch and streaming pipelines using PySpark, Delta Lake, and Azure services, with additional emphasis on governance, lineage tracking, and workflow orchestration. Client information remains confidential. Key Responsibilities Build and orchestrate … Databricks data pipelines using Notebooks, Jobs, and Workflows Optimise Spark and Delta Lake workloads through cluster tuning, adaptive execution, scaling, and caching Conduct performance benchmarking and cost optimisation across workloads Implement data quality, lineage, and governance practices aligned with Unity Catalog Develop PySpark-based ETL and transformation logic

Spark is the core distributed processing engine that powers our large-scale data pipelines, and our Lakehouse environment is built on modern technologies-including Delta Lake and Databricks, which is our primary data engineering environment You will design, build, and optimize distributed data pipelines and play a central … large-scale distributed data pipelines using Apache Spark as the core processing engine. Implement robust batch and streaming solutions using modern Lakehouse patterns (e.g., Delta Lake, streaming ingestion, structured transformations). Develop and maintain data workflows in our Databricks environment (or ramp up quickly if new to Databricks

Azure-based data pipelines. The focus of this role is to deliver scalable, test-driven, and configuration-driven data processing solutions using Python, PySpark, Delta Lake, and containerised workloads. This opportunity sits within a fast-paced engineering environment working closely with cloud, DevOps, and data science teams. Client … transformation, and validation pipelines using Python and PySpark Implement unit and BDD testing with Behave, including mocking, patching, and dependency management Design and manage Delta Lake tables, ensuring ACID compliance, schema evolution, and incremental loading Build and maintain containerised applications using Docker for development and deployment Develop configuration

data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability of data services. Infrastructure & Architecture Architect and deploy scalable data lake solutions using Azure Data Lake Storage . Implement governance and security measures across the platform. Leverage Terraform or similar IaC tools for controlled … deployments. Databricks Development Develop and optimise data jobs using PySpark or Scala within Databricks. Implement the medallion architecture (bronze, silver, gold layers) and use Delta Lake for reliable data transactions. Manage cluster configurations and CI/CD pipelines for Databricks deployments. Monitoring & Operations Implement monitoring solutions using Azure

maintain Databricks pipelines (batch and incremental) using PySpark and SQL. Orchestrate end-to-end workflows with Azure Data Factory . Develop and optimise Delta Lake tables (partitioning, schema evolution, vacuuming). Implement Medallion Architecture (Bronze, Silver, Gold) for transforming raw data into business-ready datasets. Apply robust monitoring … development skills for large-scale data engineering. Proven experience with Databricks pipelines and workflow management. Expertise in Azure Data Factory orchestration. Solid knowledge of Delta Lake and Lakehouse principles. Hands-on experience with SQL for data transformation. Familiarity with Azure services (ADLS/Blob, Key Vault, SQL).

one. What You'll Be Doing Designing end-to-end Microsoft Fabric architectures using the Medallion pattern. Building metadata-driven ingestion pipelines and optimising Delta Lake performance. Writing advanced PySpark/Spark SQL notebooks for large-scale transformations. Developing semantic models for enterprise reporting and enabling Direct Lake. … impact projects with cutting-edge Microsoft technologies. What We're Looking For Hands-on experience with Microsoft Fabric workloads: Lakehouse, Data Factory, Pipelines, Notebooks, Delta Lake, Eventstreams, Semantic Models. Advanced PySpark/Spark SQL skills and strong data engineering fundamentals. Integration experience with Dynamics 365, Dataverse, Business Central.

one. What You'll Be Doing Designing end-to-end Microsoft Fabric architectures using the Medallion pattern. Building metadata-driven ingestion pipelines and optimising Delta Lake performance. Writing advanced PySpark/Spark SQL notebooks for large-scale transformations. Developing semantic models for enterprise reporting and enabling Direct Lake. … impact projects with cutting-edge Microsoft technologies. What We're Looking For Hands-on experience with Microsoft Fabric workloads: Lakehouse, Data Factory, Pipelines, Notebooks, Delta Lake, Eventstreams, Semantic Models. Advanced PySpark/Spark SQL skills and strong data engineering fundamentals. Integration experience with Dynamics 365, Dataverse, Business Central.

Apache Spark (PySpark or Scala) and Structured Streaming . Experience working with Kafka (MSK) and handling real-time data . Good knowledge of Delta Lake/Delta Live Tables and the Medallion architecture . Hands-on experience with AWS services such as S3, Glue, Lambda, Batch

analytics and data-driven decision making across the business. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure Synapse, Azure … Azure DevOps Required Skills & Experience 3+ years' experience as a Data Engineer working in Azure environments. Strong hands-on experience with Databricks (PySpark, Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/

analytics and data-driven decision making across the business. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure Synapse, Azure … Azure DevOps Required Skills & Experience 3+ years' experience as a Data Engineer working in Azure environments. Strong hands-on experience with Databricks (PySpark, Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/

with cutting-edge technology and stay at the forefront of the data engineering field. You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards and analytics ETL & Data Modelling: T-SQL, metadata-driven pipelines Design and implement

with cutting-edge technology and stay at the forefront of the data engineering field. You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards and analytics ETL & Data Modelling: T-SQL, metadata-driven pipelines Design and implement

latest technology, ensuring you can be at the forefront of your field. What You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines What you'll do Design

business intelligence use cases. Proven experience in designing architectures for structured, semi-structured, and unstructured data , leveraging technologies like Databricks, Snowflake, Apache Kafka , and Delta Lake to enable seamless data processing and analytics. Hands-on experience in data integration , including designing and optimising data pipelines (batch and streaming

logic using Spark (PySpark/Scala) for cleaning, enrichment, and aggregation, ensuring accuracy and consistency across the data lifecycle. Work extensively with Unity Catalog, Delta Lake, Spark SQL, and related services. Apply best practices for development, deployment, and workload optimization. Program in SQL, Python, R, YAML, and JavaScript.

post include; Develop, construct, test and maintain data architectures within large scale data processing systems. Develop and manage data pipelines using Azure Data Factory, Delta Lake and Spark. Utilise Azure Cloud architecture knowledge to design and implement scalable data solutions. Utilise Spark, SQL, Python, R, and other data

post include; Develop, construct, test and maintain data architectures within large scale data processing systems. Develop and manage data pipelines using Azure Data Factory, Delta Lake and Spark. Utilise Azure Cloud architecture knowledge to design and implement scalable data solutions. Utilise Spark, SQL, Python, R, and other data

post include; Develop, construct, test and maintain data architectures within large scale data processing systems. Develop and manage data pipelines using Azure Data Factory, Delta Lake and Spark. Utilise Azure Cloud architecture knowledge to design and implement scalable data solutions. Utilise Spark, SQL, Python, R, and other data

Azure Databricks. Implement data cleaning, validation, and enrichment using Spark (PySpark/Scala) and related tools to ensure quality and consistency. Utilize Unity Catalog, Delta Lake, Spark SQL, and best practices for Databricks development, optimization, and deployment. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from … multiple sources and formats (CSV, JSON, Parquet, Delta) for downstream analytics, dashboards, and reporting. Apply Azure Purview for governance and quality checks. Monitor pipelines, resolve issues, and enhance data quality processes. Work closely with engineers, data scientists, and stakeholders. Participate in code reviews and clearly communicate technical concepts. Develop

have, not required Do not rule yourself out if you do not have these. They are a bonus, not a checklist. Experience with Delta Lake, Iceberg, Spark or Databricks, Palantir Experience optimising LLM serving with tools such as vLLM, TGI or TensorRT LLM Search and ranking experience.

closely with stakeholders to translate operational and strategic needs into clear data solutions. Promote modern engineering standards including Git, CI/CD, IaC, and Delta Lake. Ensure robust handling of complex and sensitive datasets from varied sources. About You You will have extensive hands-on experience in data engineering

compliance. Key Skills & Experience* Proven experience as an Azure Data Engineer.* Strong hands-on expertise with Databricks - 5+ years experience (PySpark, notebooks, clusters, Delta Lake).* Solid knowledge of Azure services (Data Lake, Synapse, Data Factory, Event Hub).* Experience working with DevOps teams and CI/

workflows for performance and reliability. Essential Skills Proven experience with Databricks (including Spark-based data processing). Strong knowledge of Azure Data Platform (Data Lake, Synapse, etc.). Proficiency in Python and SQL for data engineering tasks. Understanding of data architecture and ETL processes. Ability to work independently … remote environment. Nice-to-Have Experience with CI/CD pipelines for data solutions. Familiarity with Delta Lake and ML pipelines . Start Date: ASAP Contract Type: Outside IR35 Apply Now: If you're a skilled Data Engineer looking for a flexible, remote opportunity with a Databricks Partner

workflows for performance and reliability. Essential Skills Proven experience with Databricks (including Spark-based data processing). Strong knowledge of Azure Data Platform (Data Lake, Synapse, etc.). Proficiency in Python and SQL for data engineering tasks. Understanding of data architecture and ETL processes. Ability to work independently … remote environment. Nice-to-Have Experience with CI/CD pipelines for data solutions. Familiarity with Delta Lake and ML pipelines . Start Date: ASAP Contract Type: Outside IR35 Apply Now: If you're a skilled Data Engineer looking for a flexible, remote opportunity with a Databricks Partner

candidate combines solid DWH development experience with SAS, SQL, and ETL frameworks, and is motivated to evolve toward modern data engineering practices (e.g., Databricks, Delta Lake, PySpark, CI/CD). This is a unique opportunity to help shape the next-generation data platform for one of Europe