1 to 25 of 27 Databricks Jobs in Berkshire

hands-on experience in enterprise data engineering and Azure cloud data technologies. You must be confident working across: Azure Data Services, including: Azure Data Factory Azure Synapse Analytics Azure Databricks Microsoft Fabric (desirable) Python and PySpark for data engineering, transformation, and automation ETL/ELT pipelines across diverse structured and unstructured data sources Data lakehouse and data warehouse architecture design More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs. Experience with infrastructure as code, proficiency using tools such as More ❯

solution strategies, guiding delivery teams, and acting as a trusted advisor to CDOs, CIOs, and Heads of Data. 🔑 What You’ll Do Lead enterprise solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc More ❯

experience (including QGIS) FME Advanced Database and SQL skills Certifications : AWS or FME certifications are a real plus. Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks or similar is a bonus. The role comes with excellent benefits to support your well-being and career growth. KEYWORDS Principal Geospatial Data Engineer, Geospatial, GIS, QGIS, FME, AWS, On More ❯

machines - both Windows and Linux. Familiarity with server patching and maintenance. Strong understanding of security best practices within Azure and ideally AWS. Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams. What happens now? After submitting your application for More ❯

machines - both Windows and Linux. Familiarity with server patching and maintenance. * Strong understanding of security best practices within Azure and ideally AWS. * Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. * Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams. What happens now? After submitting your application for More ❯

to learn. Technical Skills: Degree or equivalent experience in data science, analytics, or a related field. Proven experience of creating and maintaining data pipelines. Experience of Advanced Excel, Azure Databricks, Advanced SQL, working knowledge of PowerBI, and exposure to GIS. GDPR awareness and compliance. Desirable: Understanding and exposure to databases, interfaces, business systems and work force management solutions Knowledge of More ❯

as it grows in scale and complexity Act as a key business-facing leader, engaging stakeholders across functions SKILLS AND EXPERIENCE Strong SQL , Power BI , Azure experience Knowledge of Databricks (essential) Business Objects (desirable) Experience managing SLAs, suppliers, and FinOps processes Proven leadership and people management skills Stakeholder management and business engagement experience Background in enterprise - level data environments (5+ More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning Deals, Advisory and Restructuring capabilities. We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and More ❯

calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but not essential Required Characteristics Cares about quality, ensuring data accuracy and consistency across all visualisations Confident in presenting dashboards and More ❯

reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. … are some obvious required Skills and Experience we are going to be seeking out. For this role we'd be expecting to see: • Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building More ❯

At Capgemini Financial Services, we are seeking a AWS Databricks Developer to join Capgemini's Insights and Data Practice. You will have the following experience : 8+ years of experience in data engineering or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling, data warehousing, and DevOps practices. Familiarity … with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in More ❯

insights. From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products. You will mentor junior engineers, promote best practices, and foster a culture of collaboration, innovation, and continuous improvement. You will stay … in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and More ❯

modernised data environment and lead a team of analysts and support engineers. The Company Having recently completed a large-scale migration from a legacy IBM stack into Azure and Databricks, this business has transformed the way they operate with data. Their environment is now far more dynamic, with evolving requirements and ongoing development. They continue to use Business Objects, though … standards, while enabling innovation Be the bridge between data teams and business stakeholders—ensuring the platform delivers real, measurable value What You Bring Deep hands-on experience with Azure, Databricks, Power BI, and SQL (Business Objects a bonus) Proven track record leading technical teams in enterprise-scale data environments Strong understanding of service management, with experience managing SLAs, vendors, and More ❯

Python, PySpark, Scala (minimum of 2). Extensive Data Engineering hands-on experience (coding, configuration, automation, delivery, monitoring, security). ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. Significant hands-on experience of HDFS/Hadoop and on-prem (coding, configuration, automation, delivery, monitoring, security). Extensive Big Data hands-on experience - Cloudera or similar. … Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks Lakehouse. Azure - hands-on experience including coding, configuration, automation and delivery. Advanced Database and SQL skills. Certifications: Cloudera, Azure or FME certifications are a plus but is not essential. Nice to have skills but NOT essential: Geospatial data experience, FME, QGIS, PostGIS. Data warehousing design patterns and implementation. The role … Work in the UK long-term without the need for Company Sponsorship. KEYWORDS Senior Data Engineer, Coding Skills, Spark, Java, Python, PySpark, Scala, ETL Tools, Azure Data Fabric (ADF), Databricks, HDFS, Hadoop, Big Data, Cloudera, Data Lakes, Azure Data, Delta Lake, Data Lake, Databricks Lakehouse, Data Analytics, SQL, Geospatial Data, FME, QGIS, PostGIS. Please note that due to a high More ❯

impact on business strategy through data-driven insights Part of a strong, mutually supportive team in a non-hierarchical structure Key Responsibilities Solution Design & Project Management Lead as a Databricks technical expert, driving process improvement and automation Partner with business domain expert to understand their data requirements and design fit-for-purpose data products to solve complex challenges Design scalable … understanding of emerging tools and platforms What You'll Bring Essential Experience: University degree (2:1 minimum) in analytical field 5+ years in analytics/intelligence function Expert-level: Databricks, Python, SQL, Excel, JavaScript Advanced Excel skills including macro development Experience with Qlik or similar BI platforms Proven track record in cross-team project management Passion for technology and automation More ❯

experience across coding/configuration/automation/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 More ❯

Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets … in data engineering roles. Advanced skills in Python for data pipelines, transformation, and orchestration. Deep understanding of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the More ❯

As people increasingly move across channels and platforms, Kantar Media’s data and audience measurement, targeting, analytics and advertising intelligence services unlock insights to inform powerful decision-making. Working with panel and first-party data in over 80 countries, we More ❯

data solutions using Azure and Databricks. Design medallion-style data architectures (Bronze, Silver, Gold) for structured and unstructured data. Develop robust ETL/ELT pipelines using Azure Data Factory, Databricks, and event-driven frameworks. Model insurance data across domains (policy, claims, quotes, pricing) using 3NF and dimensional schemas. Collaborate with business stakeholders to define and deliver data products aligned with … quality, lineage, and governance using tools like Unity Catalog, Purview, and metadata-driven frameworks. Good experience in data architecture and design. Strong hands-on experience with Azure Data Services, Databricks, and ADF. Proven experience in insurance data domains and product-oriented data design. Excellent communication and stakeholder management skills. Experience with data governance and metadata management tools." ABOUT CAPGEMINI Capgemini More ❯

Lead Azure Data Consultant/Engineer Azure/Microsoft Fabric/Synapse/Databricks Permanent Must be based in the UK and SC Cleared/SC Clearable (no sponsorship offered) In this role, you’ll be leading enterprise-scale data projects with a preferred Microsoft Partner that specialises in modern data platforms. You’ll be working with well-known customers … ll be doing: Leading the design and implementation of modern data platform solutions for enterprise customers. Building and optimising data pipelines using Azure Data Factory , Microsoft Fabric, Synapse and Databricks . Guiding best practices in data architecture, modelling, and integration across complex environments. Working directly with customers to understand requirements and deliver high-value, scalable solutions. Providing technical leadership and … in Fabric . Key skills: Proven experience as a Data Engineer with strong expertise in Azure Data services . Hands-on experience with Microsoft Fabric (essential) and knowledge of Databricks . Strong understanding of data integration, pipelines, and platform modernisation . Excellent communication and stakeholder management skills. Ability to lead projects, make architecture decisions, and deliver enterprise-grade solutions. What More ❯