1 to 25 of 31 Remote/Hybrid Databricks Jobs in the North West

GCP. We're interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Additional InformationAssessment process ️ Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick ...

background; a degree in a business, data, or technology-related discipline is desirable. Technical acumen — sufficient familiarity with the data stack (SQL, Power BI, Databricks, AI/ML workflows) to manage technical teams effectively and ask the right questions. Outstanding communication skills — engaging and credible with both technical engineers ...

working with stakeholders to understand needs and present findings. ·High attention to detail and strong data quality mindset. Desirable Skills & Attributes: ·Experience working with Databricks for data transformation or analytics workflows. ·Experience developing Salesforce reports and dashboards. ·Foundational knowledge of Python for data manipulation, automation, or analysis. ·Experience with cloud ...

experience designing and implementing enterprise Data Warehouse architectures Expertise with Microsoft Fabric, Azure Data Platform technologies and modern Lakehouse architecture Hands-on experience with Databricks, Unity Catalog and Delta Lake Strong SQL and PySpark skills Experience implementing Medallion Architecture principles Knowledge of data modelling methodologies including Star Schema and Data ...

evolve.Has operated a modelling/release process, standards, reviews, and safe rollouts for analytics assets.Lakehouse-first analytics deliveryComfortable building and supporting analytics assets where Databricks is the consumption plane, and data is structured through Raw/Cleansed/Curated layers on AWS S3. Works effectively within Unity Catalog governance ...

data warehousing concepts and dimensional modelling Strong SQL skills and experience working in cloud-based data environments Experience with Snowflake, Microsoft Fabric or Databricks would be advantageous SALARY AND BENEFITS Up to £45,000 base salary Hybrid working model (1 day per week in the office) Personal development fund ...

senior or lead data engineering role. A strong background in designing and implementing cloud-based data platforms using technologies such as Azure, Databricks, Snowflake or similar. Strong coding skills, such as SQL or Python. Experience designing data models and database structures. A track record of integrating data across multiple systems ...

Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector ...

modern MLOps practices including CI/CD, version control (Git) and infrastructure automation Experience working with cloud platforms and modern data ecosystems (Azure and Databricks experience beneficial) Strong understanding of machine learning principles and model deployment processes Excellent communication skills with the ability to explain technical concepts to non-technical ...

that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. We are building a governed, interoperable data estate that enables self-service ...

manage multiple tasks effectively. Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. ...

Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development ...

leading cloud-based data platforms and production-grade data workflowsWorking with data pipelines, data modelling, orchestration and modern cloud data tools such as Databricks, BigQuery, Spark or similarEvent-driven or streaming data patterns, as well as more traditional operational, legacy or non-event-driven data environmentsDesigning reliable, observable and well ...

/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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...