19 of 19 Delta Lake Jobs in the UK excluding London

fast-growing organisation. Key Responsibilities: Design, develop, and maintain scalable data pipelines using SQL and Python (PySpark) . Ingest, transform, and curate data from multiple sources into Azure Data Lake and Delta Lake formats. Build and optimize datasets for performance and reliability in Azure Databricks . Collaborate with analysts and business stakeholders to translate data requirements into … Skills & Experience: Strong proficiency in SQL for data transformation and performance tuning. Solid experience with Python , ideally using PySpark in Azure Databricks . Hands-on experience with Azure Data Lake Storage Gen2 . Understanding of data warehouse concepts , dimensional modelling , and data architecture . Experience working with Delta Lake and large-scale data processing. Experience building ETL More ❯

Key Responsibilities: Design, Build, and Optimise Real-Time Data Pipelines: Develop and maintain robust and scalable stream and micro-batch data pipelines using Databricks, Spark (PySpark/SQL), and Delta Live Tables. Implement Change Data Capture (CDC): Implement efficient CDC mechanisms to capture and process data changes from various source systems in near real-time. Master the Delta Lake: Leverage the full capabilities of Delta Lake, including ACID transactions, time travel, and schema evolution, to ensure data quality and reliability. Champion Data Governance with Unity Catalog: Implement and manage data governance policies, data lineage, and fine-grained access control using Databricks Unity Catalog. Enable Secure Data Sharing with Delta Sharing: Design and implement … and manage integrations to push operational data to key external services, as well as internal APIs. Azure Data Ecosystem: Work extensively with core Azure data services, including Azure Data Lake Storage (ADLS) Gen2, Azure Functions, Azure Event Hubs, and CI/CD. Data Modelling and Warehousing: Apply strong data modelling principles to design and implement logical and physical data 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 ❯

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 ❯

Degree in Computer Science, Software Engineering, or similar (applied to Data/Data Specialisation). Extensive experience in Data Engineering, in both Cloud & On-Prem, Big Data and Data Lake environments. Expert knowledge in data technologies, data transformation tools, data governance techniques. Strong analytical and problem-solving abilities. Good understanding of Quality and Information Security principles. Effective communication, ability … monitoring/security is necessary. Significant AWS or Azure hands-on experience. ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks Lakehouse. Certifications: AWS, Azure, or Cloudera certifications are a plus. To be considered for this role you MUST have in-depth experience … role. KEYWORDS Lead Data Engineer, Senior Data Engineer, Spark, Java, Python, PySpark, Scala, Big Data, AWS, Azure, Cloud, On-Prem, ETL, Azure Data Fabric, ADF, Hadoop , HDFS , Azure Data, Delta Lake, Data Lake Please note that due to a high level of applications, we can only respond to applicants whose skills and qualifications are suitable for this More ❯

based data solutions using Databricks , Python , Spark , and Kafka -working on both greenfield initiatives and enhancing high-traffic financial applications. Key Skills & Experience: Strong hands-on experience with Databricks , Delta Lake , Spark Structured Streaming , and Unity Catalog Advanced Python/PySpark and big data pipeline development Familiar with event streaming tools ( Kafka , Azure Event Hubs ) Solid understanding of More ❯

on coding experience with Python or PySpark Proven expertise in building data pipelines using Azure Data Factory or Fabric Pipelines Solid experience with Azure technologies like Lakehouse Architecture, Data Lake, Delta Lake, and Azure Synapse Strong command of SQL Excellent communication and collaboration skills What's in It for You: Up to £60,000 salary depending on More ❯

on coding experience with Python or PySpark Proven expertise in building data pipelines using Azure Data Factory or Fabric Pipelines Solid experience with Azure technologies like Lakehouse Architecture, Data Lake, Delta Lake, and Azure Synapse Strong command of SQL Excellent communication and collaboration skills What's in It for You: Up to £60,000 salary depending on More ❯

Data Engineer/Data Engineering/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/Based in West Midlands (1 day per week), Permanent role, £50,000 – 70,000 car/allowance bonus. One of our leading clients is looking to recruit a Data Engineer – Azure/Python. … car/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 CDC Stream Processing Database Design ML Python/PySpark Azure Blob Storage Parquet Azure Data Factory Desirable: Any exposure working in a software house, consultancy, retail or retail More ❯

Data Engineer/Data Engineering/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/Based in West Midlands (1 day per week), Permanent role, £50,000 70,000 + car/allowance + bonus. One of our leading clients is looking to recruit a Data Engineer Azure … + car/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 CDC Stream Processing Database Design ML Python/PySpark Azure Blob Storage Parquet Azure Data Factory Desirable: Any exposure working in a software house, consultancy, retail More ❯

data estate, built primarily on Microsoft Azure and Databricks Key Responsibilities: Design and implement scalable, secure cloud-based data architecture (Azure & Databricks) Develop optimised data models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data … engineering and architecture Collaborate with internal stakeholders and third-party vendors Key Skills & Experience: Proven background designing and delivering enterprise-scale data platforms Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing Advanced data modelling and ETL/ELT optimisation experience Familiarity with regulatory frameworks such as IFRS 17 , BCBS 239 , and UK Data Protection Excellent More ❯

data estate, built primarily on Microsoft Azure and Databricks Key Responsibilities: Design and implement scalable, secure cloud-based data architecture (Azure & Databricks) Develop optimised data models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data … engineering and architecture Collaborate with internal stakeholders and third-party vendors Key Skills & Experience: Proven background designing and delivering enterprise-scale data platforms Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing Advanced data modelling and ETL/ELT optimisation experience Familiarity with regulatory frameworks such as IFRS 17 , BCBS 239 , and UK Data Protection Excellent More ❯

the live environment. What you'll be responsible for: Develop and maintain API services using Databricks and Azure. Implement and manage Azure Cache (Redis) and Azure Redis. Utilize Databricks Delta Live tables for data processing and analytics. Integrate the platform with Snowflake for data storage and retrieval. Collaborate with cross-functional teams to deliver the platform in an agile … deployment. What you'll need: Experience in ML Ops engineering, with a focus on Azure and Databricks. Knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience in Data (Delta) Lake Architecture. Experience with Docker and Azure Container Services. Familiarity with API service development and orchestration. Strong problem-solving More ❯

user-friendly platforms and products. "Nice To Have": Exposure to Azure or GCP environments. Experience migrating to Kubernetes (especially from legacy orchestrators!) Data platform expertise, knowledge of lakehouse architectures, Delta Lake, or real-time data processing patterns. Experience working in hybrid environments with asynchronous teamwork. Tuning, profiling and optimising Kafka, Spark, or container networking under load. In Return More ❯

actions. Collaborate with cross-functional teams to deliver the platform in an agile manner. Provide guidance on the implementation and management of Azure Cache (Redis), Postgres, Azure Redis, Databricks Delta Live tables, and Snowflake. Ensure the platform supports microservices and API-driven architecture with sub-2-second calls. Develop and maintain documentation, architecture diagrams, and other technical artifacts. Manage … you'll need: Proven experience in ML Ops engineering, with a focus on Azure and Databricks. Strong knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience with Docker and Azure Container Services. Familiarity with API service development and orchestration. Experience in Data (Delta) Lake Architecture (Azure). Excellent More ❯

Dataproc, Cloud Storage, Pub/Sub, Cloud Composer, and Data Catalog. Data Architecture: Strong background in designing and implementing data architectures, including lakehouse models and open table formats like Delta Lake or Iceberg. Programming Skills: Proficiency in Python, Scala, or Java, focusing on data processing and pipelines. Security: Deep understanding of data security practices, including IAM, RBAC, and More ❯

being phased out by late 2025. This project involves migrating pipelines and platform infrastructure running on PVC to the Databricks Enterprise Edition (E2) using EC2-based compute, which enables Delta Lake, advanced security, and scalable architecture. The project also includes decomposing and migrating core components of a centralized automation framework, a multi-repository CI/CD system that … cloud-native environments. Strong experience with AWS services including EC2, IAM, ECR, S3, and Autoscaling. Deep knowledge of Databricks, including workspace setup, instance profiles, notebook CI/CD, and Delta Lake capabilities. Hands-on with Terraform for infrastructure provisioning and GitLab/Jenkins for pipeline orchestration. Experience with Docker, container image lifecycle, and secure CI/CD container 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 ❯

Jenkins). Familiarity with large-scale data management and engineering best practices. Bonus Points For Workflow orchestration tools like Airflow. Working knowledge of Kafka and Kafka Connect. Experience with Delta Lake and lakehouse architectures. Proficiency in data serialization formats: JSON, XML, PARQUET, YAML. Cloud-based data services experience. Ready to build the future of data? If you're More ❯