1 to 25 of 32 Delta Lake Jobs in the UK excluding London

environments.Key Responsibilities Design, build, and maintain scalable data pipelines using Databricks Notebooks, Jobs, and Workflows for both batch and streaming data. Optimise Spark and Delta Lake performance through efficient cluster configuration, adaptive query execution, and caching strategies. Conduct performance testing and cluster tuning to ensure cost-efficient, high … Unity Catalogue and governance best practices. Develop PySpark applications for ETL, data transformation, and analytics, following modular and reusable design principles. Create and manage Delta Lake tables with ACID compliance, schema evolution, and time travel for versioned data management. Integrate Databricks solutions with Azure services such as 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).

Data Engineer/Data Engineering/Data Consultant/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/Based in the West Midlands/Solihull/Birmingham area, Permanent role, £50,000 - 70,000 + car/allowance … allowance + bonus Experience: Experience in a Data Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory Desirable: Exposure ML/Machine Learning/

About the RoleWe are looking for a Python Data Engineer with strong hands-on experience in Behave-based unit testing, PySpark development, Delta Lake optimisation, and Azure cloud services. This role focusses on designing and deploying scalable data processing solutions in a containerised environment, emphasising maintainable, configurable … validation pipelines using Python and PySpark. Implement unit and behavior-driven testing with Behave, ensuring robust mocking and patching of dependencies. Design and maintain Delta Lake tables for optimised query performance, ACID compliance, and incremental data loads. Build and manage containerised environments using Docker for consistent development, testing

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/

challenges and building scalable solutions, this is your chance to make an impact. 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 DevOps: CI/CD Bonus

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

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.

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

schema, Data Vault) supporting analytics and BI Define data strategy and governance frameworks – lineage, cataloging, security, compliance Lead solution design for data warehouse, data lake, and lakehouse implementations Architect real-time and batch data integration patterns across hybrid environments Technical Leadership: Lead technical workstreams on large transformation and migration … Snowflake Cloud Data Platform - Architecture design, performance tuning, cost optimization, governance Azure Data Factory - Pipeline architecture, orchestration patterns, best practices Azure Databricks - Lakehouse architecture, Delta Lake, Unity Catalog, medallion layers SQL & Python - Strong technical foundation for hands-on guidance and code reviews DataOps & CI/

production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines … watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model/Direct Lake optimisation

production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines … watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model/Direct Lake optimisation

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

STEM A strong team player with empathy, humility and dedication to joint success and shared development. Desirable Experience and Qualifications: Experience with Databricks or Delta Lake architecture. Experience building architecture and Data Warehousing within the Microsoft Stack Experience in development Source control (e.g. Bit Bucket, Github) Experience

Python or Scala. Hands-on use of cloud data stacks (e.g. SageMaker Notebooks, S3, Glue, Athena) and modern storage formats or frameworks (e.g. Parquet, Delta Lake, Fabric). Experience with DevOps/DataOps tooling and practices (e.g. Terraform) and testing data pipelines, including end-to-end, data quality

optimise Data engineering solutions. Key requirements: Proven experience as a Data Engineer with Active Security Clearance (SC) Strong experience with Databricks, PySpark and Delta Lake Expertise in Jobs & Workflows, cluster tuning, and performance optimisation Solid understanding of Data governance (Unity Catalog, Lineage, Access Policies) Hands-on with Azure … services: Data Lake Storage (Gen2), Key Vault, Azure Functions Familiarity with CI/CD for Databricks deployments Strong troubleshooting in distributed Data environments Excellent communication and collaboration skills Nice to have: Immediate availability Experience with enterprise-scale Databricks environments Knowledge of Azure Synapse, Power BI and cost optimisation strategies

includes several high profile household name What you'll bring: Strong Python & TDD skills Expertise in modern data architecture (dimensional modelling, data mesh, data lake) & best practices (agile, CI/CD, IaC, observability). Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more? Get in touch for an informal chat.

team, contributing directly to strategic data initiatives. Candidate Profile: The ideal candidate will have: Significant experience in Data Engineering , particularly with Azure, Databricks, and Delta Lake . Proficiency in Kubernetes, Infrastructure as Code, and Terraform . Strong understanding of Azure DevOps and software engineering best practices. A passion

kick out of making complex data architectures simple and elegant Be able to explain technical decisions to non-technical humans Bonus points: Experience with Delta Lake/Iceberg, real-time streaming, or LLM orchestration What's on offer: Work on genuinely interesting problems (behavioural + financial data = never