26 to 50 of 65 Databricks Jobs in Manchester

data, application, cloud, integration and security. Working knowledge of data architecture concepts – including data modelling, integration, governance, visualisation and migration – and tools such as Databricks, Snowflake or equivalent. An appreciation of how technology can solve complex business problems, and comfortable operating at the intersection of business and technology. Strong written ...

data, application, cloud, integration and security.Working knowledge of data architecture concepts – including data modelling, integration, governance, visualisation and migration – and tools such as Databricks, Snowflake or equivalent.An appreciation of how technology can solve complex business problems, and comfortable operating at the intersection of business and technology.Strong written and verbal communication ...

/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such as Azure, AWS, GCP, Databricks or equivalent to build and deploy scalable ML solutions.Strong communication, stakeholder management and problem-solving skills, with the ability to explain complex modelling approaches, trade-offs ...

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...

/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems/personalisation, and increasingly, applied LLM/GenAI use cases, reflecting where the market is heading right now. ...

similar transformation and orchestration toolsBuilding semantic models or reusable business logic for BI, analytics or self-service reportingWorking in cloud data environments such as Databricks, BigQuery, Snowflake or similarApplying engineering practices to analytics, including Git, pull requests, testing, documentation and CI/CDImproving data quality, lineage, governance and trust across ...

client's data storage needs for structured and unstructured data, to enable analytics across global clients using modern data tools like MS Fabric, Databricks, or similarDesigning, architecting and implementing a real-time data solution using streaming ingestion and delivering real time analytics, to help our clients respond to customer behaviour … using distributed computing and parallel processing frameworks, such as Spark.Knowledge of Data Architecture & Data Modelling techniques.Experience working with modern data & AI platforms such as Databricks, Dataiku, DataRobot, etc.Knowledge of containerization platforms such as Docker and Kubernetes.Familiarity with software development tools, such as JIRA, Confluence, and Git.Connect to your business - Technology ...

Lead the architecture of AI and data initiatives, from data ingestion through to deployment and monitoring. Shape our technology roadmap across AWS, Azure, Snowflake, Databricks and SaaS platforms. Set architecture standards, principles and guardrails, while supporting engineering teams to apply them effectively. Provide technical leadership on complex, multi-platform solutions ...

other enterprise data catalogue platformsExperience with master and reference data management tools (e.g. Ataccama, Profisee – desirable)Working knowledge of the Microsoft Azure ecosystem, including Databricks and Power BIExcellent communication, stakeholder management and influencing skillsExperience delivering solution‐level data architecture across complex projects and programmesExperience producing data impact assessments, guidance ...

Strong architectural judgement, with the ability to balance business value, technical complexity, risk, cost and compliance considerations• Practical MDM and metadata management experience, specifically Databricks/Lakehouse platform• Experience providing technical leadership and influencing decisions across large-scale programmes, transformation initiatives and diverse stakeholder groups• A collaborative approach, with ...

machine learning, Earth Observation, constraint analysis, route optioneering or site suitability.You are confident working with data engineering and cloud platforms such as Python, SQL, Databricks or Azure.You can build repeatable, scalable and reproducible tools for large spatial datasets and enterprise geospatial systems.You are able to translate business or engineering needs ...

changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Anthropic, Microsoft, AWS, Oracle, Red Hat, OutSystems, and Databricks, ensuring that our customers are provided with the highest quality solutions and services.We’re an award-winning employer reflecting how our employees ...

enterprise-grade cloud data solutions, providing expert perspective on storage options (e.g., object storage, data lakes, data warehouses) and compute engine options (e.g., Spark, Databricks, Synapse Analytics, BigQuery).Implementing and optimising data lake and data warehouse solutions on cloud platforms using services such as object storage (e.g., S3, ADLS … MongoDB, Cassandra, etc.Developing and orchestrating highly performant, scalable, and re-usable data ingestion and transformation pipelines across various cloud components and services such as Databricks, AWS Glue, Google Dataflow, Azure Data Factory, or similar.Developing event-based and streaming data ingestion and processing using cloud-native PaaS services or Apache Kafka.Data ...

Proven track record in report design, usability, and performance optimisation. Hands-on delivery experience within hospitality reporting and commercial reporting environments. Experience working with Databricks is useful. Ability to interpret Python/PySpark is beneficial. If you are interested in this Power BI Developer role please apply with your most ...

Proven track record in report design, usability, and performance optimisation. Hands-on delivery experience within hospitality reporting and commercial reporting environments. Experience working with Databricks is useful. Ability to interpret Python/PySpark is beneficial. If you are interested in this Power BI Developer role please apply with your most ...

data structures, ETL and data integration. A degree in Mathematics, Statistics, Data Science or another quantitative field. Insurance experience or exposure to Databricks is a bonus, not a requirement. Occasional in-person collaboration at Haywards Heath or Manchester offices. If you're looking for a Senior Data Scientist role with ...

/LLMOpsconcepts including monitoring and versioning experience working with the Microsoft data and ML stack including Azure SQL, Cosmos DB, Model foundry, and Azure Databricks We recognise the value of lived experience.If you have experienceofcomplainingaboutany public body, we strongly encourage you to apply. Civil Service Pension scheme 32.5days annual leave ...

modern engineering practices Experience securing enterprise applications such as SAP, Salesforce, or Dynamics, and large-scale data platforms such as Data Lake, S3, or Databricks Knowledge of data loss prevention, data lifecycle management, and relevant regulations such as GDPR The ability to influence senior partners and provide clear technical leadership ...

/or implement data governance recommendations based on a client’s needs, priorities, and environment Hands on experience working in a data governance technology (Databricks Unity Catalog, Microsoft Purview, Alation, Atlan, Collibra and Ataccama) Experience with defining and initiating Data Governance strategies, frameworks, operating models, and workflow processes Experience with ...

Science. These are some technologies that our Data Scientists use (we don't expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover ...

cloud, data and SaaS to deliver secure, scalable solutions. In this senior, high‐visibility role you’ll lead architecture across AWS, Azure, Snowflake and Databricks, set standards, mentor engineering teams, and work with senior stakeholders to translate business needs into practical technology #J-18808-Ljbffr ...

career on AWS this is one where that depth actually gets used. AWS across the board, including S3, Glue, Redshift, Lake Formation and Kinesis Databricks and Snowflake running on top of AWS Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kinesis or Kafka ...

career on AWS this is one where that depth actually gets used. • AWS across the board, including S3, Glue, Redshift, Lake Formation and Kinesis • Databricks and Snowflake running on top of AWS • Spark and distributed processing frameworks for large-scale data • Streaming technologies such as Kinesis or Kafka ...

that support business decision-making across Financial Advice Services, Marketing, Operations, Risk, and other key business functions.Operating in a modern cloud-based environment leveraging Databricks, AWS, and Infrastructure as Code, the successful candidate will lead a team of data engineers while partnering closely with Product Managers, Data Analysts, Architects … plusWhat it takesMust-Have Skills & ExperienceDeep expertise designing and building scalable data pipelines and data products in cloud environmentsStrong hands-on experience with Databricks, Spark, SQL, and PythonExperience developing and optimizing batch and real-time data processing solutionsStrong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional modelling ...

structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands‐on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long‐tenured individual contributors while ...