1 to 25 of 43 Databricks Jobs in the Midlands

Familiarity with data security, privacy, and compliance frameworks ● Exposure to machine learning pipelines, MLOps, or AI-driven data products ● Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark ● Exposure to AI/ML concepts and collaboration with data science or AI teams. ● Experience integrating data solutions with AI/ML platforms or supporting AI-driven analytics More ❯

have experience working with some of the following technologies: Power BI Power Apps Blob storage Synapse Azure Data Factory (ADF) IOT Hub SQL Server Azure Data Lake Storage Azure Databricks Purview Power Platform Python More ❯

efficiency. Define reusable components, standards, and documentation to support long-term scalability. Essential Skills & Experience: Proven experience building Azure data platforms end-to-end (Data Factory, Synapse, Fabric, or Databricks). Strong SQL development and data modelling capability. Experience integrating ERP or legacy systems into cloud data platforms. Proficiency in Python or PySpark for transformation and automation. Understanding of data More ❯

efficiency. Define reusable components, standards, and documentation to support long-term scalability. Essential Skills & Experience: Proven experience building Azure data platforms end-to-end (Data Factory, Synapse, Fabric, or Databricks). Strong SQL development and data modelling capability. Experience integrating ERP or legacy systems into cloud data platforms. Proficiency in Python or PySpark for transformation and automation. Understanding of data More ❯

ELT pipelines. Understanding of data governance, security, and access control frameworks. Knowledge of batch and real-time data integration and experience with ODBC connectors or REST APIs. Familiarity with Databricks and/or Microsoft Fabric is a bonus. Experience 3+ years in a Data Architect or senior data engineering role. Proven record of designing and delivering cloud-based data platforms More ❯

ELT pipelines. Understanding of data governance, security, and access control frameworks. Knowledge of batch and real-time data integration and experience with ODBC connectors or REST APIs. Familiarity with Databricks and/or Microsoft Fabric is a bonus. Experience 3+ years in a Data Architect or senior data engineering role. Proven record of designing and delivering cloud-based data platforms More ❯

people focused data engineering and analysis. You will have experience in a data engineering role, ideally with practical experience or the ability to upskill in cloud services like Azure, Databricks and ESRI, as well as excellent proven proficiency, SQL and Python. Ideally you would have a familiarity with developing pipelines which support Analysts who use RStudio Power BI and/ More ❯

to build scalable ETL/ELT pipelines and implement strong data governance and security controls. Experience with batch and real-time integrations , ODBC connectors, and REST APIs. Exposure to Databricks or Microsoft Fabric (desirable). A track record of working in complex ERP environments and supporting digital or data transformation programmes. Our client is investing heavily in technology and committed More ❯

in current role. Experience using SQL and Python to effectively automate data pipelines and other tasks with tools such as dbt, airflow. Strong experience with data lakehouse architecture (e.g DataBricks,Redshift, Snowflake, BigQuery). Exposure to cloud services and their configuration (e.g AWS). Experience in building and documenting data architectures and ETL/ELT processes, with a strong emphasis More ❯

effectively with stakeholders, ensuring clear communication throughout project lifecycles. Skills, Experience, and Abilities Required: Essential: Expert-level experience with Azure Data Factory (ADF) Hands-on experience with Snowflake and Databricks Proficiency in Python programming Strong Azure and SQL knowledge Excellent debugging and troubleshooting abilities Good communication skills Desirable: 6 to 8 years of relevant experience in data engineering or related More ❯

Statistics, Computer Science, or a related field (Master’s or PhD preferred) Proven experience developing and deploying ML models in real-world applications Strong technical skills with Python, SQL, Databricks, and cloud platforms Solid understanding of the full data science workflow, from data exploration to productionisation Ability to communicate complex findings clearly and influence decisions through data Why Join: Work More ❯

on to mentor teams on technical delivery Background in the banking/financial services sector Strategic mindset with a delivery-focused leadership style Tech Environment: Azure Data Stack (Synapse, Databricks, Azure SQL, Power BI) SQL, Python Legacy systems primarily in SQL Server Interview Process: Initial 30-minute informal converdation 60-minute technical/competency interview with Engineering Managers Final More ❯

on to mentor teams on technical delivery Background in the banking/financial services sector Strategic mindset with a delivery-focused leadership style Tech Environment: Azure Data Stack (Synapse, Databricks, Azure SQL, Power BI) SQL, Python Legacy systems primarily in SQL Server Interview Process: Initial 30-minute informal converdation 60-minute technical/competency interview with Engineering Managers Final More ❯

Machine Learning, or a related field (Master’s or PhD preferred) Proven experience developing and deploying ML models in real-world applications Solid coding and data skills (Python, SQL, Databricks, cloud platforms) Deep understanding of the full ML lifecycle and productionisation of models Passion for applying AI to solve real-world problems Why Join: Work with a modern AI/ More ❯

innovation across the business as our client continues their journey into Azure Cloud Services. To be successful, you will have recent experience owning & delivering an Azure-based data platforms (Databricks, streaming device data, Smart Data, ERP systems) coupled with hands on capabilites implementing robust data ingestions pipelines (ETL/ELT) and introduced even-driven architecture (Kafka) to enable scalable, real More ❯

up to version 8) Angular Azure Dev Ops for Pipeline management GIT Blazor MongoDB Microservice architecture Fully hosted in Azure including Service Fabric, WebApps, Datalake, Storage, EventHub, App Insights, DataBricks SignalR CI/CD Agile Principles Requirements Essential: Proven professional experience in software development. Experience working within a cross-functional delivery team Experience supporting software in a production environment Expertise More ❯

to design and build the data solutions need to measure, report and analyze the performance of the business and its operations. Our focus lies in technologies such as Azure, Databricks, Power BI, and ADF. We actively explore and adopt new technologies to innovate and enhance our processes. We are looking for people who want to learn new skills, get hands … with the latest technologies and become very knowledgeable of BIS systems. Successful candidates will join a great team with a real mix of experience, knowledge and skills. Essential Skills DataBricks or similar and Azure Data Factory Languages: SQL, Python Data Platform: Azure data lake and SQL Server RDBMS ETL: SQL Server Integration Services and ADF Experienced in effectively working in More ❯

Data Science Engineer – Azure | Databricks | AI Innovation Permanent | Birmingham (Hybrid) Amtis is proud to partner with an advanced, data-driven organisation — a business that’s not just talking about AI, but actively building intelligent systems powered by Azure, Databricks, and real-world machine learning applications. This is a hands-on engineering role where you’ll be at the core of … on next-gen infrastructure that supports advanced analytics and AI workloads, this is your opportunity. What You’ll Be Doing Designing and building scalable, reusable data pipelines using Azure Databricks, Data Factory, and modern cloud tooling Developing secure, flexible data models and optimising performance across massive datasets Collaborating with data scientists to productionise AI models and accelerate experimentation Integrating diverse … enhance data accuracy, efficiency, and decision-making Constantly improving data architecture and processes to support innovation at scale What We’re Looking For Strong hands-on experience with Azure Databricks, Data Factory, Blob Storage, and Delta Lake Proficiency in Python, PySpark, and SQL Deep understanding of ETL/ELT, CDC, streaming data, and lakehouse architecture Proven ability to optimise data More ❯

Oversee the delivery of business-as-usual (BAU) reporting, ensuring accuracy, timeliness, and stakeholder satisfaction. Drive efficiency through automation and process improvement using tools such as SQL, Python, and Databricks, with a focus on building scalable, future-proof systems. Collaborate with stakeholders to understand challenges and identify opportunities where data can deliver value. Design and implement data-driven solutions and More ❯

best practices, and drive continuous improvement to enhance data quality and accessibility across the business. Key Responsibilities Data Engineering: Design, build, and maintain Azure data pipelines using Data Factory, Databricks, and related services. Data Architecture: Develop and optimise scalable data models, warehouses, and lakes (Azure Synapse, Data Lake Storage). Governance & Security: Enforce compliance and data protection standards (GDPR, DPA … promoting best practices. Innovation: Explore new Azure technologies to enhance platform capabilities and analytics. Documentation: Maintain clear technical documentation and share knowledge across teams. Skills & Experience Expert in Azure Databricks (Unity Catalog, DLT, cluster management). Strong experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs. Proficient in Python, Scala, C#, .NET, and SQL (T More ❯

best practices, and drive continuous improvement to enhance data quality and accessibility across the business. Key Responsibilities Data Engineering: Design, build, and maintain Azure data pipelines using Data Factory, Databricks, and related services. Data Architecture: Develop and optimise scalable data models, warehouses, and lakes (Azure Synapse, Data Lake Storage). Governance & Security: Enforce compliance and data protection standards (GDPR, DPA … promoting best practices. Innovation: Explore new Azure technologies to enhance platform capabilities and analytics. Documentation: Maintain clear technical documentation and share knowledge across teams. Skills & Experience Expert in Azure Databricks (Unity Catalog, DLT, cluster management). Strong experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs. Proficient in Python, Scala, C#, .NET, and SQL (T More ❯

best practices, and drive continuous improvement to enhance data quality and accessibility across the business. Key Responsibilities Data Engineering: Design, build, and maintain Azure data pipelines using Data Factory, Databricks, and related services. Data Architecture: Develop and optimise scalable data models, warehouses, and lakes (Azure Synapse, Data Lake Storage). Governance & Security: Enforce compliance and data protection standards (GDPR, DPA … promoting best practices. Innovation: Explore new Azure technologies to enhance platform capabilities and analytics. Documentation: Maintain clear technical documentation and share knowledge across teams. Skills & Experience Expert in Azure Databricks (Unity Catalog, DLT, cluster management). Strong experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs. Proficient in Python, Scala, C#, .NET, and SQL (T 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, £50,000 - 70,000 + car/allowance (£5,000) + 15% bonus. One of our leading clients is looking … Permanent role Salary £50,000 - 70,000 + 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 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, £50,000 - 70,000 + car/allowance (£5,000) + 15% bonus. One of our leading clients is looking … Permanent role Salary £50,000 - 70,000 + 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 More ❯

Senior Data Engineer (Databricks SQL Azure) Nottingham/WFH to £65k Opportunity to progress your career in a senior, hands-on Data Engineer role at a SaaS tech company. As a Senior Data Engineer you'll join a newly formed team that deals with customer facing reporting on big data sets, they process 120 billion lines of data per day. … You'll be primarily working with advanced SQL with Databricks in Azure including data modelling and low level data design work. As a senior member of the team you'll also contribute to technical discussions, strategic decision making and help to mentor more mid-level data engineers. Location/WFH: There's a remote interview and onboarding process and you … from most of the time, meeting up with the team for constructive meetings once a month/quarter in the Nottingham office. About you: You have advanced SQL and Databricks experience You have experience in cloud based environments, Azure preferred You have strong analysis and problem solving skills You have experience of working in Agile development environments You're collaborative More ❯