1 to 25 of 65 Databricks Jobs in the Midlands

organisations. Strong commercial awareness with a focus on business outcomes. Technical Expertise We would expect experience across many of the following: Microsoft Fabric Azure Databricks Azure Synapse Analytics Azure Data Factory Azure Data Services Power BI SQL Python Lakehouse Architecture Data Governance Data Modelling Cloud Data Platforms AI & Machine Learning ...

demand ambitious innovation and thought leadership. The Role Design, develop, and maintain Azure-based data pipelines and ETL solutions. Work with Azure Data Factory, Databricks, Synapse, and Data Lake to support data integration, migration, and analytics requirements. Collaborate with stakeholders to understand business needs, troubleshoot data issues, and ensure secure ...

manage multiple priorities. Willingness to learn new systems, tools, and processes. Desirable Experience working with SAP. Familiarity with version control tools. Experience with Azure Databricks and/or Azure Data Factory for building and managing data pipelines. What Youll get in Return Starting salary £55,125 rising ...

analysis. Exposure to Six Sigma, Design of Experiments (DOE), Statistical Process Control (SPC) or robust engineering methods. Experience using Siemens Insights Hub, Siemens Xcelerator, Databricks, Power BI or equivalent industrial analytics platforms. Experience applying machine learning or AI techniques within manufacturing or industrial environments. Personal attributes: Be customer focused ...

regulatory requirements Architecting and delivering modern data platforms leveraging Azure technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence … Deep expertise in the Microsoft Azure Data Platform, including services such as Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Extensive experience designing and implementing enterprise-scale data architectures, including data modelling, ETL/ELT frameworks, Lakehouse solutions, batch ...

place where you can grow, belong and thrive. Your day at NTT DATA Primary Responsibilities Client Engagement & Delivery Data Pipeline Development (Batch and Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation (Delta Lake, Medallion architecture) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers … Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms. Strong consulting values with ability to collaborate effectively in client-facing environments. Hands-on expertise across the data lifecycle: ingestion, transformation ...

Consultancy Services in the United Kingdom is seeking a Data Engineer to design, develop and maintain Azure-based data pipelines, leveraging Azure Data Factory, Databricks, Synapse and Data Lake to support data integration, migration and analytics. You will collaborate with stakeholders to translate business needs into reliable, scalable data solutions ...

following tools: AWS data tooling such as S3/Glue/Redshift/SageMaker (Or relevant experience in another cloud technology). Specific tooling - Databricks Strong Data related programming skills SQL/Python/Spark Experience of industrialising and scaling machine learning models. Experience in deployment, monitoring, retraining and lifecycle ...

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 ...

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 ...

Robotics- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials- Demonstrating proficiency in AI implementation and machine learning libraries- Utilizing complex data analysis and data modeling techniques- Excelling ...

driven delivery. What You'll Take On: Joining the BIS domain, you will leverage tools such as Azure stack (Azure Data Factory, Azure Datalake), Databricks and PowerBI to innovate and streamline workflows to provide valuable data for the business . Working as part of a product team, you will develop ...

modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS.## **The Role You Are Considering**As a Data Engineer, you will be an integral part of our team dedicated to building … Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following technologies**Azure Databricks*** Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other ...

successful in this role, you will need the following: Proven experience designing and developing comprehensive reports and dashboards using Tableau, Power BI, Snowflake and Databricks, applying data visualisation best practices to ensure clarity, accuracy and accessibility. Strong understanding of data structures, relationships and cardinality, with the ability to design effective ...

. Familiarity with Workday APIs, Workday Prism Analytics, and automated testing frameworks like Kainos Smart. Knowledge of data engineering and analytics platforms such as Databricks, with experience in leveraging them for scalable data processing and machine learning workflows. Active participation in knowledge sharing activities, such as conferences, blogs, or internal ...

Data Architect/Lead Data Engineer - Databricks Worcester | Hybrid working £70,000 - £80,000 plus bonus and benefits Permanent We are recruiting for a newly created Data Architect position within an established technology-led organisation based in Worcester. This is a hands-on role for someone who can combine data … role You will work across modern cloud data platforms, helping the organisation improve how data is structured, governed, integrated and delivered. The environment includes Databricks, cloud technologies, data lakes, analytics, reporting and emerging AI and machine-learning products. Your responsibilities will include: Defining and evolving data architecture principles, standards ...

versioning and release management. Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security. Data engineering depth (Spark/Databricks; ETL/ELT); cloud‐native data + AI architectures. Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback). Consulting leadership: stakeholder, budget ...

/PRA, PII handling, data residency, guardrails and red‐teaming. Graph or taxonomy‐based knowledge representation alongside vector retrieval. Kafka/streaming, Databricks, or comparable large‐scale data platform experience. Nice to have Voice and multimodal agents; evaluation of non‐text outputs. FinOps for AI workloads; unit‐economics modelling ...

data solutions on SQL and Azure in a regulated environment. You will build robust ETL/ELT pipelines with Azure Data Factory, Synapse and Databricks, design real-time and batch ingestion, and modern data platforms (Delta Lake, lakehouse, ADLS Gen2). Hybrid-working is offered. #J-18808-Ljbffr ...

SaaS) for data-intensive solutions Experience designing, implementing, and migrating data-intensive applications to Azure Cloud Experience designing, configuring, and optimising Azure data services - Databricks, Data Factory, Synapse, Data Lake, Database, and Batch services Ability to design, implement, and troubleshoot end-to-end data pipelines Experience configuring App Gateway, IaaS ...

migration and integration programme within a relatively low maturity Azure environment. Key Skills & Experience Azure Data Engineering Azure Data Factory (ADF) Azure Data Lake Databricks Building ETL/ELT pipelines Large-scale data migration and integration Oracle and/or Oracle Fusion data sources SharePoint data extraction and integration Working ...

involve integrating data into a proprietary data transformation solution where applicable. Key Skills & Experience Azure Data Engineering Azure Data Factory (ADF) Azure Data Lake Databricks Building ETL/ELT pipelines Large-scale data migration and integration Oracle and/or Oracle Fusion data sources SharePoint data extraction and integration Working ...

Able to extract meaningful insights from complex datasets and demonstrate clear business impact. Technical Expertise – Strong experience with SQL, Power BI, Python/PySpark; Databricks is a plus but not essential. Stakeholder Management – Confident in engaging with senior stakeholders, translating data into compelling narratives that drive business decisions. Commercial Mindset ...

automation, deployment)Proficient software development experience in one of Java, Scala, or PythonSoftware development experience with data-processing platforms from vendors including Informatica,Azure Databricks or any relevant ETL toolsExpert in SQL or SQL extensions for analytical use caseExpert understanding of distributed data stores and data processing frameworksAbility to simply ...

cross‐domain consistency at scale. Partnering with engineering teams to shape physical schemas, optimise performance, and guide workload placement across cloud platforms (AWS, Snowflake, Databricks). Influencing senior stakeholders across Product, Controls, Architecture, and Engineering to align on business rules, semantic definitions, and strategic priorities. Some other highly valued skills ...