London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
CI/CD, automation). Proven track record of designing, building, and scaling data platforms in production environments. Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS, IAM. Experience with More ❯
London, England, United Kingdom Hybrid / WFH Options
Harnham
CI/CD, automation). Proven track record of designing, building, and scaling data platforms in production environments. Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS, IAM. Experience with More ❯
Data Engineering Lead - Databricks - London - £95K Global construction business with a strong technology focus are looking for a hands on Data Engineering Lead to manage, mentor and help develop a small team of Engineers, coupled with technical leadership. You will be using the latest, cutting edge technology across the Azure and Databricks ecosystem within a close knit, collaborative environment.Key Responsibilities … and Skills Required:- Proficiency in MS Business Intelligence tools and practices (SQL, Azure, Data Factory, Power BI, Databricks)- Strong background in data engineering principles and methodologies.- Experience leading and mentoring teams in technical environments.- Ability to collaborate effectively with cross-functional teams to deliver impactful solutions.- Excellent problem-solving skills and a data-driven mindset.This role suits an innovative candidate More ❯
Exciting Opportunity for a Data Engineering Technical Lead with deep expertise in Azure Databricks to join a Global company on a 12 Month initial Contract. Key Responsibilities: Design, build, and manage large-scale data platforms with a focus on ETL, Data Management, and Data Governance Develop and maintain Databricks Delta Live Tables (DLT) pipelines with strong emphasis on cost and … performance optimisation Implement and manage structured streaming and real-time data processing solutions. Handle and process high volumes of data efficiently within Databricks Translate business requirements into technical delivery plans—including defining PBIs, tasks, and technical design documents Collaborate closely with business stakeholders to understand use cases and deliver high-quality, timely solutions Lead a technical delivery team of … governance, and performance tuning Drive continuous improvement in data engineering processes and platform scalability Required Skills & Experience: Proven experience in building multiple large-scale data platforms Deep expertise in Databricks, especially Delta Live Tables (DLT) and structured streaming Strong understanding of data governance, data modeling, and pipeline orchestration Hands-on experience optimising Databricks workloads for performance and cost Excellent communication More ❯
Exciting Opportunity for a Data Engineering Technical Lead with deep expertise in Azure Databricks to join a Global company on a 12 Month initial Contract. Key Responsibilities: Design, build, and manage large-scale data platforms with a focus on ETL, Data Management, and Data Governance Develop and maintain Databricks Delta Live Tables (DLT) pipelines with strong emphasis on cost and … performance optimisation Implement and manage structured streaming and real-time data processing solutions. Handle and process high volumes of data efficiently within Databricks Translate business requirements into technical delivery plans—including defining PBIs, tasks, and technical design documents Collaborate closely with business stakeholders to understand use cases and deliver high-quality, timely solutions Lead a technical delivery team of … governance, and performance tuning Drive continuous improvement in data engineering processes and platform scalability Required Skills & Experience: Proven experience in building multiple large-scale data platforms Deep expertise in Databricks, especially Delta Live Tables (DLT) and structured streaming Strong understanding of data governance, data modeling, and pipeline orchestration Hands-on experience optimising Databricks workloads for performance and cost Excellent communication More ❯
Exciting Opportunity for a Data Engineering Technical Lead with deep expertise in Azure Databricks to join a Global company on a 12 Month initial Contract. Key Responsibilities: Design, build, and manage large-scale data platforms with a focus on ETL, Data Management, and Data Governance Develop and maintain Databricks Delta Live Tables (DLT) pipelines with strong emphasis on cost and … performance optimisation Implement and manage structured streaming and real-time data processing solutions. Handle and process high volumes of data efficiently within Databricks Translate business requirements into technical delivery plans—including defining PBIs, tasks, and technical design documents Collaborate closely with business stakeholders to understand use cases and deliver high-quality, timely solutions Lead a technical delivery team of … governance, and performance tuning Drive continuous improvement in data engineering processes and platform scalability Required Skills & Experience: Proven experience in building multiple large-scale data platforms Deep expertise in Databricks, especially Delta Live Tables (DLT) and structured streaming Strong understanding of data governance, data modeling, and pipeline orchestration Hands-on experience optimising Databricks workloads for performance and cost Excellent communication More ❯
Exciting Opportunity for a Data Engineering Technical Lead with deep expertise in Azure Databricks to join a Global company on a 12 Month initial Contract. Key Responsibilities: Design, build, and manage large-scale data platforms with a focus on ETL, Data Management, and Data Governance Develop and maintain Databricks Delta Live Tables (DLT) pipelines with strong emphasis on cost and … performance optimisation Implement and manage structured streaming and real-time data processing solutions. Handle and process high volumes of data efficiently within Databricks Translate business requirements into technical delivery plans—including defining PBIs, tasks, and technical design documents Collaborate closely with business stakeholders to understand use cases and deliver high-quality, timely solutions Lead a technical delivery team of … governance, and performance tuning Drive continuous improvement in data engineering processes and platform scalability Required Skills & Experience: Proven experience in building multiple large-scale data platforms Deep expertise in Databricks, especially Delta Live Tables (DLT) and structured streaming Strong understanding of data governance, data modeling, and pipeline orchestration Hands-on experience optimising Databricks workloads for performance and cost Excellent communication More ❯
london (city of london), south east england, united kingdom
Eaglecliff Recruitment
Exciting Opportunity for a Data Engineering Technical Lead with deep expertise in Azure Databricks to join a Global company on a 12 Month initial Contract. Key Responsibilities: Design, build, and manage large-scale data platforms with a focus on ETL, Data Management, and Data Governance Develop and maintain Databricks Delta Live Tables (DLT) pipelines with strong emphasis on cost and … performance optimisation Implement and manage structured streaming and real-time data processing solutions. Handle and process high volumes of data efficiently within Databricks Translate business requirements into technical delivery plans—including defining PBIs, tasks, and technical design documents Collaborate closely with business stakeholders to understand use cases and deliver high-quality, timely solutions Lead a technical delivery team of … governance, and performance tuning Drive continuous improvement in data engineering processes and platform scalability Required Skills & Experience: Proven experience in building multiple large-scale data platforms Deep expertise in Databricks, especially Delta Live Tables (DLT) and structured streaming Strong understanding of data governance, data modeling, and pipeline orchestration Hands-on experience optimising Databricks workloads for performance and cost Excellent communication More ❯
Platform Engineer-£400PD-Remote We are seeking a highly skilled Cloud Platform Engineer with hands-on experience managing and scaling Databricks from a platform perspective, along with deep knowledge of Azure services, Terraform, and CI/CD pipelines using GitHub Actions. You will be part of a team responsible for designing, implementing, and maintaining scalable, secure, and cost-effective cloud … Center, defender policies, and other security controls across cloud resources. Monitor and manage cloud costs using Azure Cost Management, ensuring resources are optimized and within budget. Architect and support Databricks workspaces, focusing on Unity Catalog, data access control, workspace deployment, and platform reliability. Collaborate with data engineering and analytics teams to ensure Databricks is performant, secure, and well-integrated with … systems. Create and maintain platform documentation, templates, and reusable modules to support self-service provisioning. Participate in incident response and troubleshooting for cloud platform issues, particularly those related to Databricks and underlying infrastructure. Required Skills & Experience: Proven experience with Terraform in a production environment. Deep understanding of GitHub Actions and CI/CD best practices. Strong experience working with Azure More ❯
bradford, yorkshire and the humber, united kingdom Hybrid / WFH Options
Hays
security and privacy regulations. Contribute to Communities of Practice and support their cloud-first strategy. What you'll need to succeed Extensive experience in cloud-based data engineering (preferably Databricks), with a strong background in modernisation and large-scale migration. Expertise in Azure services (API Manager, App Service), Databricks, Spark, Python, SQL, and AI/ML frameworks. Proven track record … . Ability to translate strategic goals into technical delivery plans and roadmaps. Desirable Criteria Experience designing and implementing AI/ML-driven solutions within data platforms. Relevant certifications (e.g. Databricks Engineer Professional, Azure Data Engineer Associate, Azure Solutions Architect). Advanced academic qualifications or industry recognition in data engineering and cloud technologies. Experience in DevOps practices using GitHub Actions and … this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Desired Skills and Experience Lead Data and AI Engineer/Databricks/Principle Data Engineer Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job More ❯
release, monitoring, and support. Operationalize models with CI/CD pipelines, automated testing, and monitoring, applying MLOps practices such as versioning, retraining, and drift detection (tools: MLflow, Azure ML, Databricks) Leverage both open-source frameworks (LangChain, Hugging Face, etc.) and enterprise platforms (Azure OpenAI, Databricks, etc.) to deliver production ready, scalable AI solutions Implement generative AI and advanced analytics features More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
Contract Databricks Platform Engineer - Remote - £525/pd Please note - whilst this role is fully remote, applications will only be accepted by candidates who live in the UK permanently and have the unrestricted right to work in the UK. This organisation is unable to offer sponsorship. A well-established UK-based Data & AI consultancy is looking for a Databricks Platform … Engineer to support the rollout of a Databricks platform for a major finance client. Key Responsibilities: Support the deployment and configuration of Databricks with Unity Catalog. Implement infrastructure as code using Terraform. Set up and manage CI/CD pipelines with GitHub Actions. Ensure robust Azure security and cost management practices. Collaborate with client teams to ensure smooth platform adoption. … Required Skills: Strong experience with Databricks and Unity Catalog. Proficiency in Terraform, GitHub Actions, and CI/CD. Solid understanding of Azure security and cost optimisation. Experience working with enterprise clients in a consultancy setting is a plus. Why Apply? Work with a top-tier consultancy on a high-impact project. Fully remote flexibility. Competitive day rate outside IR35. Quick More ❯
Leeds, West Yorkshire, England, United Kingdom Hybrid / WFH Options
Hays Specialist Recruitment Limited
security and privacy regulations. Contribute to Communities of Practice and support their cloud-first strategy. What you'll need to succeed Extensive experience in cloud-based data engineering (preferably Databricks), with a strong background in modernisation and large-scale migration. Expertise in Azure services (API Manager, App Service), Databricks, Spark, Python, SQL, and AI/ML frameworks. Proven track record … . Ability to translate strategic goals into technical delivery plans and roadmaps. Desirable Criteria Experience designing and implementing AI/ML-driven solutions within data platforms. Relevant certifications (e.g. Databricks Engineer Professional, Azure Data Engineer Associate, Azure Solutions Architect). Advanced academic qualifications or industry recognition in data engineering and cloud technologies. Experience in DevOps practices using GitHub Actions and More ❯
Senior Data Engineer - Azure, Healthcare A Global Healthcare Leader based in Burton Upon Trent is currently searching for a Senior Data Engineer to help support a greenfield implementation of Databricks and further support the advancement of their modern data platform. The successful applicant will work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing … data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary: £55,000 to £65,000 + Benefits To be considered: Minimum 3 years of experience working as a Data Engineer within an Azure Environment. Prior experience working with Azure Databricks. Strong programming skills in Python, C# or .Net. Experience deploying More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Lawrence Harvey
Senior Data Engineer - Azure, Healthcare A Global Healthcare Leader based in Burton Upon Trent is currently searching for a Senior Data Engineer to help support a greenfield implementation of Databricks and further support the advancement of their modern data platform. The successful applicant will work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing … data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary: £55,000 to £65,000 + Benefits To be considered: Minimum 3 years of experience working as a Data Engineer within an Azure Environment. Prior experience working with Azure Databricks. Strong programming skills in Python, C# or .Net. Experience deploying More ❯
london, south east england, united kingdom Hybrid / WFH Options
Lawrence Harvey
Senior Data Engineer - Azure, Healthcare A Global Healthcare Leader based in Burton Upon Trent is currently searching for a Senior Data Engineer to help support a greenfield implementation of Databricks and further support the advancement of their modern data platform. The successful applicant will work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing … data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary: £55,000 to £65,000 + Benefits To be considered: Minimum 3 years of experience working as a Data Engineer within an Azure Environment. Prior experience working with Azure Databricks. Strong programming skills in Python, C# or .Net. Experience deploying More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Lawrence Harvey
Senior Data Engineer - Azure, Healthcare A Global Healthcare Leader based in Burton Upon Trent is currently searching for a Senior Data Engineer to help support a greenfield implementation of Databricks and further support the advancement of their modern data platform. The successful applicant will work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing … data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary: £55,000 to £65,000 + Benefits To be considered: Minimum 3 years of experience working as a Data Engineer within an Azure Environment. Prior experience working with Azure Databricks. Strong programming skills in Python, C# or .Net. Experience deploying More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Lawrence Harvey
Senior Data Engineer - Azure, Healthcare A Global Healthcare Leader based in Burton Upon Trent is currently searching for a Senior Data Engineer to help support a greenfield implementation of Databricks and further support the advancement of their modern data platform. The successful applicant will work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing … data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary: £55,000 to £65,000 + Benefits To be considered: Minimum 3 years of experience working as a Data Engineer within an Azure Environment. Prior experience working with Azure Databricks. Strong programming skills in Python, C# or .Net. Experience deploying More ❯
Greater London, England, United Kingdom Hybrid / WFH Options
Xcede
Hybrid – Surrey (1 day in office every fortnight) This is a high-impact Lead Data Engineer role, where you’ll work across a cutting-edge data stack (AWS, Databricks, Spark, dbt) to design scalable platforms and products that enable self-service analytics, advanced modelling, and AI-driven decision-making. You’ll report into the Head of Data Engineering, supporting a … driving best practices, and acting as a foundational support. Key responsibilities include: Leading data engineering projects and managing sub-teams Designing, optimising, and scaling data platforms in AWS/Databricks Driving coding standards, frameworks, and best practices Building and supporting modern data pipelines and products Coaching and mentoring engineers to raise technical excellence Partnering with product managers, data & AI engineers … major business problems, including Generative AI applications What we’re looking for: Hands-on expertise in Python, SQL, Spark, Airflow, Terraform Proven experience with cloud-native data platforms (AWS, Databricks, Snowflake) Strong track record of mentoring or coaching other engineers Knowledge of CI/CD tooling (Git, Jenkins or similar) Experience in batch and real-time data processing Exposure to More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions Ltd
cutting-edge tech and make a real impact We’re hiring for a hands-on role where you’ll design and build scalable data pipelines using Microsoft Fabric and Databricks , drive DataOps best practices, and manage agile delivery through Jira . You’ll be part of a high-performing consultancy team delivering modern data platforms for enterprise clients.What You’ll … Be Doing as a Fabric Consultant: Building end-to-end data pipelines with Microsoft Fabric & Databricks Driving DataOps workflows, CI/CD automation, and agile delivery via Jira Leading client workshops and collaborating with cross-functional teams Supporting data governance, compliance, and privacy initiatives Mentoring junior engineers and contributing to internal best practices What You’ll Bring: Strong experience in More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Method Resourcing
working with the latest Azure technologies to help the business make smarter, data-driven decisions. What you'll be doing Building and maintaining data pipelines using Azure Data Factory , Databricks , and Synapse Analytics Supporting the design and development of a centralised data platform Working closely with analysts and business stakeholders to understand data needs Enhancing data quality, governance, and performance … across key datasets Contributing to an environment that values collaboration, learning, and innovation What we're looking for Hands-on experience with the Azure Data Engineering stack (ADF, Databricks, Synapse, Data Lake) Strong skills in SQL and Python (PySpark experience is a bonus) Experience building and optimising ETL/ELT pipelines A background in Financial Services is a plus, but More ❯
a key role in building, optimising, and maintaining cloud-based data solutions. Responsibilities include: Developing and maintaining end-to-end data pipelines using Azure services such as Data Factory, Databricks, Synapse, and Data Lake. Designing and optimising data models, warehouses, and lakehouse architectures to support analytics and reporting requirements. Ensuring data governance, security, and compliance across cloud platforms, implementing access … improvements to ensure reliable and accurate data availability. Mentoring junior engineers and sharing knowledge through documentation, workshops, and code reviews. What We’re Looking For Strong experience with Azure Databricks (Unity Catalog, DLT, cluster management) and other Azure services (Data Factory, Synapse, Data Lake Storage, Stream Analytics, Event Hubs). Advanced SQL knowledge with experience optimising relational databases and writing More ❯
a key role in building, optimising, and maintaining cloud-based data solutions. Responsibilities include: Developing and maintaining end-to-end data pipelines using Azure services such as Data Factory, Databricks, Synapse, and Data Lake. Designing and optimising data models, warehouses, and lakehouse architectures to support analytics and reporting requirements. Ensuring data governance, security, and compliance across cloud platforms, implementing access … improvements to ensure reliable and accurate data availability. Mentoring junior engineers and sharing knowledge through documentation, workshops, and code reviews. What We’re Looking For Strong experience with Azure Databricks (Unity Catalog, DLT, cluster management) and other Azure services (Data Factory, Synapse, Data Lake Storage, Stream Analytics, Event Hubs). Advanced SQL knowledge with experience optimising relational databases and writing More ❯
ADF) . Develop ETL/ELT processes to integrate and transform large datasets across cloud and on-prem environments. Implement and optimise data solutions in Azure Synapse, Data Lake, Databricks , and Snowflake . Write efficient SQL and Python scripts for data manipulation, validation, and automation. Collaborate with data architects and analysts to ensure data consistency and quality across systems. Troubleshoot … data ingestion and transformation workflows. Ensure compliance with data security and governance standards. Key Skills: Strong experience with Azure Data Factory (ADF) – expert level. Hands-on skills in Azure Databricks , Snowflake , and SQL . Proficiency in Python for automation and data transformation. Good debugging and problem-solving skills. Excellent communication and collaboration abilities. 6–8 years of overall data engineering More ❯
ADF) . Develop ETL/ELT processes to integrate and transform large datasets across cloud and on-prem environments. Implement and optimise data solutions in Azure Synapse, Data Lake, Databricks , and Snowflake . Write efficient SQL and Python scripts for data manipulation, validation, and automation. Collaborate with data architects and analysts to ensure data consistency and quality across systems. Troubleshoot … data ingestion and transformation workflows. Ensure compliance with data security and governance standards. Key Skills: Strong experience with Azure Data Factory (ADF) – expert level. Hands-on skills in Azure Databricks , Snowflake , and SQL . Proficiency in Python for automation and data transformation. Good debugging and problem-solving skills. Excellent communication and collaboration abilities. 6–8 years of overall data engineering More ❯