1 to 25 of 35 Databricks Jobs in Basingstoke

of data warehousing and data governance. **Preferred Qualifications:** - Knowledge of DevOps practices and CI/CD pipelines. - Familiarity with cloud-native data platforms (e.g., Databricks). - Understanding of data privacy regulations (e.g., GDPR). #J-18808-Ljbffr More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud More ❯

skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI). Proven ability to understand business processes, facilitate meetings with senior stakeholders, and translate business More ❯

solutions align with NHS requirements and best practices. Develop end-to-end data solutions leveraging Azure services, including Azure Synapse Analytics, Azure Data Factory, Databricks, and Azure SQL. Define data models, integration patterns, and governance frameworks to ensure efficient data management, interoperability, and compliance. Drive cloud migration strategies for NHS More ❯

organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. More ❯

systems Qualifications & Skills: x5 + experience with Python programming for data engineering tasks Strong proficiency in SQL and database management Hands-on experience with Databricks and Apache Spark Familiarity with Azure cloud platform and related services Knowledge of data security best practices and compliance standards Excellent problem-solving and communication More ❯

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 More ❯

improvements in current processes and practices. What do I need? Experience with Azure, including data storage, security, networking, monitoring, and management services. Understanding of Databricks, including engineering methodologies, cost management, scheduling, and data storage. Architecting cloud solutions to support a data-driven business using analytical and visualisation approaches, and knowledge More ❯

present solutions to customer sponsor. Required Skills & Experience: Microsoft Azure expertise primarily using Azure Machine Learning. Extensive experience with Azure ML Studio, ML Flow, Databricks, Propensity Models and Recommender engines. Strong commercial experience creating predictive models, statistical analysis, and pricing analysis. Working with large data sets (real time, storage) from More ❯

col-narrow-right Job Views: 3 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Data Analytics Senior Sales Consultant – Data Analytics, snowflake, talend, databricks, salesforce, hubspot, SaaS, data lakes, apis, adtech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOPs, CI/CD, GenAI, RAG, AWS, Azure, Apache More ❯

challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and pipelines More ❯

/or proven demonstrable equivalent working experience within data/insight analytics, data mining and statistical techniques. Proficient in SQL; knowledge of Python/Databricks/R is desirable. Demonstrable competence in delivering actionable customer intelligence. Strong analytical, decision-making, and problem-solving skills. Ability to translate complex data and More ❯

strong Java coding experience, and experience working with Java management tools for our client in the IT Services and IT Consulting industry. Data Migration & Databricks experience is also essential for this role. You will perform complex research, design, and software development assignments within a specific software functional area or product More ❯

Degree in a STEM subject or equivalent experience in data/insight analytics, data mining, and statistics. Proficiency in SQL; knowledge of Python/Databricks/R is desirable. Strong analytical, decision-making, and problem-solving skills. Ability to communicate complex data clearly and engage management effectively. Benefits We recognize More ❯

improvements in current processes and practices. What do I need? Experience with Azure, including data storage, security, networking, monitoring, and management services. Understanding of Databricks, including engineering methodologies, cost management, scheduling, and data storage. Architecting cloud solutions to support a data-driven business using analytical and visualisation approaches, and knowledge More ❯

a Data Engineer on a 6-month basis to design and implement data ingestion pipelines. The Data Engineer must have solid experience with Azure Databricks and have worked within a regulated environment previously. This position offers a pay rate of £450-£500 per day outside of IR35. It is a More ❯

across teams to embed data science into core business processes What You'll Bring: · Strong Python, SQL, and statistical modelling expertise · Deep knowledge of Databricks, Lakehouse architecture & cloud platforms · Proven experience delivering end-to-end data science projects · Excellent stakeholder management and communication skills · Passion for ethical AI and data More ❯

on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. 4+ years of applied research or industry experience. Creative problem-solver with a More ❯

this year, we employ over 10,000 people. Its big-scale stuff and we’re still growing. Job Purpose With a big investment into Databricks, and with a large amount of interesting data, this is the chance for you to come and be part of an exciting transformation in the … scalable data pipelines to serve the easyJet analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models … and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt More ❯

and optimize data models, warehouse solutions, and ETL processes. Work with Scala, Spark, and Java to handle large-scale data processing. Contribute to manual Databricks-like data processing solutions. Requirements: Minimum of 4 years of experience with Scala, Spark, and Java. Strong technical skills and a passion for working with More ❯

processes and practices. What do I need? Education & Certifications: Degree in a relevant field (e.g., Computer Science, Data Science) and industry credentials (e.g., Microsoft, Databricks). Technical Skills: Proficient with Azure, Databricks, PowerBI, AWS, Google Cloud, and data management services. Operational Experience: Skilled in engineering, agile, and devops environments; familiar More ❯

opportunities across Group, which includes several high profile household name What you'll bring: Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. More ❯

This Role Stands Out Play a key role in shaping Azure data strategies for enterprise clients Join a pioneering team adopting Fabric, Synapse, and Databricks in production Be part of a community of thought leaders, with the opportunity to share ideas and influence outcomes Home-based flexibility with a focus … to knowledge sharing Ideal Experience Proven track record delivering data solutions in the Azure ecosystem Deep expertise across the Azure Data Platform (Fabric, Synapse, Databricks, Data Lake, Data Factory, Purview, etc.) Strong data pipeline and ETL skills, including data modelling and transformation Experience implementing Medallion Architecture (Bronze, Silver, Gold layers … in lakehouse or Databricks environments Familiarity with DevOps, CI/CD, and agile delivery Azure Data Engineer, Fabric Engineer, or related certifications—or motivation to earn them What’s In It for You? Up to £75K base salary plus performance bonus Fully remote role with minimal travel expectations Access to More ❯

to play a key role in delivering the next phase of a business-critical data programme. You'll apply your technical expertise across Azure Databricks, Data Factory, Azure SQL, and SQL Server, contributing directly to the integration of financial data into a new Azure Data Platform. Responsibilities: Design, build and … optimise scalable data solutions using Azure cloud technologies. Lead the development of data pipelines in Azure Databricks, Data Factory, and T-SQL. Provide senior-level technical direction to onshore and offshore development teams. Translate data requirements into effective data engineering solutions. Collaborate closely with business stakeholders to ensure alignment with … Plan and manage progress in Agile sprints alongside project managers and scrum masters. Requirements: Extensive experience in Azure data engineering, with strong expertise in Databricks, Azure SQL, and Data Factory. Deep technical knowledge of SQL Server including stored procedures and complex data transformation logic. Proven experience in designing and delivering More ❯