25 of 25 Permanent Delta Lake Jobs in the UK excluding London

in doing this properly - not endless meetings and PowerPoints. What you'll be doing: Designing, building, and optimising end-to-end data pipelines using Azure Databricks, PySpark, ADF, and Delta Lake Implementing a medallion architecture - from raw to enriched to curated Working with Delta Lake and Spark for both batch and streaming data Collaborating with analysts More ❯

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, £ + car/allowance (£5,000) + 15% bonus. One of our leading clients is looking to recruit … role Salary £ + 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 Database Design Python/PySpark Azure Blob Storage Azure Data Factory Desirable: Exposure ML/Machine Learning/AI/Artificial Intelligence More ❯

machine learning models in production. What you'll be doing as Lead ML Ops Engineer: Leading the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis) Driving integration with cloud-based data storage solutions such as Snowflake Collaborating with data … from the Machine Learning Operations Lead: Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture Hands-on experience with Docker, container orchestration, and scalable API design Excellent communication and stakeholder management skills Ability to drive strategic initiatives and influence technical direction More ❯

machine learning models in production. What you'll be doing as Lead ML Ops Engineer: Leading the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis) Driving integration with cloud-based data storage solutions such as Snowflake Collaborating with data … from the Machine Learning Operations Lead: Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture Hands-on experience with Docker, container orchestration, and scalable API design Excellent communication and stakeholder management skills Ability to drive strategic initiatives and influence technical direction More ❯

data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages More ❯

data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages More ❯

data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages More ❯

data warehousing, or analytics engineering Strong SQL and Python skills with hands-on experience in PySpark Exposure to Azure Databricks, Microsoft Fabric, or similar cloud data platforms Understanding of Delta Lake, Git, and CI/CD workflows Experience with relational data modelling and dimensional modelling Awareness of data governance tools such as Purview or Unity Catalog Excellent analytical More ❯

Define solution architectures and oversee end-to-end data pipelines, ETL/ELT processes, and data platform implementations. Guide teams in applying best practices across Python, SQL, Databricks, and Delta Lake to deliver high-performance outcomes. Manage client programmes, ensuring projects are delivered on time, within scope, and aligned to strategic goals. Promote engineering standards, agile ways of … CD adoption across teams. Act as a trusted advisor, simplifying technical concepts and communicating clearly with business stakeholders. Develop and maintain data pipelines using Azure ADF, Databricks, PySpark, and Delta Lake. Build and optimise workflows in Python and SQL to support supply chain, sales, and marketing analytics. Contribute to CI/CD pipelines using GitHub Actions (or similar) for More ❯

Define solution architectures and oversee end-to-end data pipelines, ETL/ELT processes, and data platform implementations. Guide teams in applying best practices across Python, SQL, Databricks, and Delta Lake to deliver high-performance outcomes. Manage client programmes, ensuring projects are delivered on time, within scope, and aligned to strategic goals. Promote engineering standards, agile ways of … CD adoption across teams. Act as a trusted advisor, simplifying technical concepts and communicating clearly with business stakeholders. Develop and maintain data pipelines using Azure ADF, Databricks, PySpark, and Delta Lake. Build and optimise workflows in Python and SQL to support supply chain, sales, and marketing analytics. Contribute to CI/CD pipelines using GitHub Actions (or similar) for More ❯

Define solution architectures and oversee end-to-end data pipelines, ETL/ELT processes, and data platform implementations. Guide teams in applying best practices across Python, SQL, Databricks, and Delta Lake to deliver high-performance outcomes. Manage client programmes, ensuring projects are delivered on time, within scope, and aligned to strategic goals. Promote engineering standards, agile ways of … CD adoption across teams. Act as a trusted advisor, simplifying technical concepts and communicating clearly with business stakeholders. Develop and maintain data pipelines using Azure ADF, Databricks, PySpark, and Delta Lake. Build and optimise workflows in Python and SQL to support supply chain, sales, and marketing analytics. Contribute to CI/CD pipelines using GitHub Actions (or similar) for More ❯

years as a Data Engineer Hands-on with Databricks, Spark, Python, SQL Cloud experience (Azure, AWS, or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why More ❯

years as a Data Engineer Hands-on with Databricks, Spark, Python, SQL Cloud experience (Azure, AWS, or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why More ❯

years as a Data Engineer Hands-on with Databricks, Spark, Python, SQL Cloud experience (Azure, AWS, or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why More ❯

machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial More ❯

machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial More ❯

machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial More ❯

machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial More ❯

machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial More ❯

machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial More ❯

environment. What you'll be doing as the Machine Learning Operations Engineer: Developing and maintaining API services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams in an agile environment Supporting analytics, model deployment … What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and communication skills Bonus: exposure to Azure Functions, Containers, or Insights Benefits for the More ❯

environment. What you'll be doing as the Machine Learning Operations Engineer: Developing and maintaining API services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams in an agile environment Supporting analytics, model deployment … What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and communication skills Bonus: exposure to Azure Functions, Containers, or Insights Benefits for the More ❯

and maintain platform software, libraries, and dependencies . Set up and manage Spark clusters , including migrations to new platforms. Manage user accounts and permissions across identity platforms. Maintain the Delta Lake and ensure platform-wide security standards. Collaborate with the wider team to advise on system design and delivery . What we're looking for: Strong Linux engineering More ❯

Kubernetes stack with secure-by-design tools Update security, software, dependencies and libraries Set up and migrate Spark clusters across platforms Manage user accounts and IdP permissions Maintain the Delta Lake Ensure secure-by-design assurance throughout the platform Experience Required: Strong Linux engineering background Expertise in Kubernetes and Docker Proficient in scripting (Python, Bash) Experience with air More ❯

Kubernetes stack with secure-by-design tools Update security, software, dependencies and libraries Set up and migrate Spark clusters across platforms Manage user accounts and IdP permissions Maintain the Delta Lake Ensure secure-by-design assurance throughout the platform Experience Required: Strong Linux engineering background Expertise in Kubernetes and Docker Proficient in scripting (Python, Bash) Experience with air More ❯