1 to 25 of 71 Databricks Jobs in Berkshire

Boomi, MuleSoft), particularly in mid-market enterprise integration scenarios. Deep experience with the design, development, implementation and support of cloud-native data platforms such as Snowflake, Azure SQL Database, Databricks, Microsoft Fabric or Azure Synapse Analytics. Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica, including projects around lineage, cataloging, and quality rules. Strong More ❯

Job Summary: We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data pipelines, implementing … Development & Optimisation: Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark … or Scala) and other relevant technologies. Develop and maintain 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 More ❯

from across the EMEA region, as long as you're available to work standard EMEA business hours Responsibilities Build and maintain data pipelines using Azure Data Factory, Synapse, and Databricks Develop Power BI dashboards with strong attention to data modeling, DAX, and Power Query (M) Contribute to the design of semantic models, data marts, and data warehouse structures Integrate data … peer review or architectural debates Qualifications 5+ years of experience in data engineering with a strong focus on Microsoft Azure Practical experience with Azure Data Factory, Synapse Analytics, Azure Databricks, and Azure SQL Advanced Power BI development skills, including DAX, Power Query, and visual/report design Strong SQL proficiency, including performance optimization and query tuning Extensive, hands-on experience More ❯

with BI/reporting tools such as Looker or PowerBI. Excellent communication and stakeholder management skills. Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a related technical field. What’s on More ❯

experience with Big Data. Must know modern cloud platforms including Azure, GCP, etc and technologies across traditional and contemporary software, with focus as below:Expert understanding: Azure Data Factory, Databricks, Spark, Azure SQL Database, Azure DevOps/Git, Data Lake, Delta Lake/Lakehouse architecture, Power BI.Working Knowledge: Azure WebApp, Azure Networking concepts.Conceptual Knowhow (nice to have): Azure AI Services More ❯

About HSO: HSO are a leading member of the Microsoft Dynamics Inner Circle, founded in 1987, and specialize in sectors such as Retail, Manufacturing, Professional Services, Financial Services and Local Government. We've won several prestigious awards over the last More ❯

critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with … business objectives. Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of More ❯

CloudXcel is a technology-driven company dedicated to providing innovative cloud solutions to businesses worldwide. Our mission is to empower organizations to harness the full potential of their data in the cloud, unlocking insights and driving transformation. With a commitment More ❯

analytics user experience, unlocking growth and operational excellence. What are we looking for? Hands-on experience designing scalable, greenfield data platforms in cloud environments using Azure D&A stack, Databricks, and Azure Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data More ❯

and analytics, unlocking quality growth and operational excellence. What are we looking for? Hands-on experience in designing greenfield, scalable data platforms in cloud using Azure D&A stack, Databricks and Azure Open AI solution. Proficiency in coding (Python,PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable data platforms. Proficiency in Azure More ❯

Security and Compliance teams to ensure adherence to data privacy regulations (e.g., GDPR) and internal governance standards Lead evaluation and integration of data tools, platforms, and technologies (e.g., Snowflake, Databricks, Azure Synapse, Kafka, dbt, Power BI) Oversee data integration strategy across the enterprise—including ETL/ELT pipelines, APIs, and event-driven data streaming Contribute to the development of a More ❯

Security and Compliance teams to ensure adherence to data privacy regulations (e.g., GDPR) and internal governance standards. Lead evaluation and integration of data tools, platforms, and technologies (e.g., Snowflake, Databricks, Azure Synapse, Kafka, dbt, Power BI). Oversee data integration strategy across the enterprise-including ETL/ELT pipelines, APIs, and event-driven data streaming. Contribute to the development of More ❯

abreast of opportunities for innovation with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. Experience of MS Azure Databricks Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL. Experience following product/solution development lifecycles using More ❯

Agile methodologies, Infrastructure-as-Code (IaC) and delivering data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid deployments. KEY COMPETENCIES REQUIRED FOR ROLE More ❯

Agile methodologies, Infrastructure-as-Code (IaC) and delivering data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid deployments. KEY COMPETENCIES REQUIRED FOR ROLE More ❯

Agile methodologies, Infrastructure-as-Code (IaC) and delivering data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid deployments. KEY COMPETENCIES REQUIRED FOR ROLE More ❯

Agile methodologies, Infrastructure-as-Code (IaC) and delivering data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid deployments. KEY COMPETENCIES REQUIRED FOR ROLE More ❯

Social network you want to login/join with: At Elanco (NYSE: ELAN) – it all starts with animals!As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease More ❯

data warehouse performance Experience across various industry sectors is a plus Understanding of data management best practices, including profiling, sourcing, and cleansing routines with data quality functions Knowledge of Databricks, Snowflake, Azure/AWS/Oracle Cloud, R, and Python Company Description Version 1 has over 28 years in Technology Services, trusted by global brands. We partner with Microsoft, AWS More ❯

for LLMs, NLP, MLOps, RAG, APIs, and real-time data integration Strong background in working with cloud platforms (GCP, AWS, Azure) and big data technologies (e.g., Kafka, Spark, Snowflake, Databricks) Demonstrated ability to work across matrixed organizations and partner effectively with IT, security, and business stakeholders Experience collaborating with third-party tech providers and managing outsourced solution development Excellent communication More ❯

. Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact More ❯

. Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact More ❯

Get AI-powered advice on this job and more exclusive features. About HSO HSO are a leading member of the Microsoft Dynamics Inner Circle, founded in 1987, and specialize in sectors such as Retail, Manufacturing, Professional Services, Financial Services and More ❯

organization, you will work with product managers and engineers to explore product innovations arising from emerging technologies and new customer use cases. Technology You'll Use Python, pandas, PyTorch, Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, Google Vertex AI Your Role Responsibilities Research and develop expertise in product innovation areas including unstructured data management, AI governance, and protected cross-entity … experts. Proficiency in Python, including libraries like pandas, PyTorch, matplotlib, and Seaborn, with experience in data science and engineering. Experience with cloud service technologies and enterprise tools such as Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, and Google Vertex AI. Role Essentials Postgraduate education in Science, Technology, Engineering, or Mathematics. BA/BS or equivalent, or relevant combination of education More ❯

and architect solutions that drive business impact. Responsibilities: Partner with clients to understand data challenges and craft solutions using Microsoft Fabric. Design data architectures integrating Azure Synapse, Data Factory, Databricks, and Power BI. Manage end-to-end solution delivery, ensuring performance and scalability. Develop data models and pipelines for real-time insights. Optimize systems for speed and reliability. Ensure data More ❯