1 to 25 of 71 Databricks Jobs in the North West

engineering, ideally in a SaaS, marketplace, fintech, payments, e-commerce or multi-region B2B2C environment. Strong Microsoft Fabric capability, or deep Azure Synapse/Databricks experience with clear ability to specialise quickly in Fabric. Expert SQL/T-SQL plus strong Python or PySpark, with a track record of building ...

working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads - Understanding of Data Security, Data ...

Monitoring and logging. Release and configuration management. Production support and incident troubleshooting. Python or another scripting language. AWS certification. Terraform. Apache Airflow/MWAA. Databricks or Spark. Kafka/Kinesis. dbt. Experience working in Agile/Scrum environments. Experience 4+ years of experience in Data Engineering, DevOps, DataOps ...

Contribute to the broader data architecture community through knowledge sharing, presentations. What you’ll bring to the role: Data Engineering experience with Snowflake and Databricks native solutions. Experience on Snowflake Cortex is must. Proficiency in programming skills in Python. Experience with data processing frameworks like Apache Spark or Hadoop. Knowledge ...

lifecycle management. 2. Data platform and solution design Design scalable cloud data platforms and lakehouse solutions using Microsoft Fabric, OneLake, Azure Data Factory, Azure Databricks, Azure Synapse and related Azure services. Define approaches for batch and real-time data ingestion, transformation, storage, integration and consumption. Guide the design of data ...

Desirable AWS certification at Associate or Professional level Experience with streaming and event‐driven data technologies Experience with technologies such as Spark, Kafka or Databricks Experience delivering data platforms within public sector, defence or other regulated environments Experience working within secure environments and understanding associated security and assurance requirements Exposure ...

data governance and self-service BI into practice, including ownership, quality standards, training and user adoption Microsoft Fabric experience, or transferable Azure Synapse or Databricks Lakehouse experience, including an understanding of medallion architecture Strong Power BI semantic modelling and DAX skills, sufficient to take responsibility for shared datasets and business ...

experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation – Power BI, Tableau, Looker ...

more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application development Data & Visualisation – Power BI, Tableau, Looker ...

15+ years Joining: Immediate Required Skills & Experience Must Have 8+ years of data architecture experience with at least 3 years hands-on with Azure Databricks in production environments Proven experience designing and implementing medallion architecture (Bronze/Silver/Gold) using Delta Lake on Azure Databricks Strong hands-on experience … schema design, access controls, and governance policies Experience configuring Azure Data Lake Storage Gen2 — containers, access control lists, lifecycle policies, and integration with Databricks Hands-on experience with Microsoft Fabric — specifically Mirrored Azure Databricks Unity Catalog and Power BI connectivity to Databricks SQL Warehouses Experience with enterprise data source integration ...

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 … defined support responsibilities. Ensure solutions are secure, scalable, maintainable, and aligned with organisational standards and governance requirements. Design, build, and optimise data pipelines on Databricks using PySpark and Spark SQL, applying Delta Lake and a medallion/Lakehouse architecture. Implement data validation and reconciliation checks, and automated testing across pipelines ...

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 ...

role data plays in enabling AI and application workloads. Experience with Microsoft data technologies such as Microsoft Fabric, Azure Data Factory, Azure Synapse, Azure Databricks, OneLake or comparable enterprise data platforms would be highly valuable. Practical experience designing, building and deploying AI powered applications using platforms such as Azure ...

Azure Git/CI/CD Automated testing Data quality and observability Reusable engineering patterns They're particularly interested in people coming from Databricks/PySpark environments, so extensive Fabric experience isn't essential. At Senior level, you'll also have the opportunity to influence architecture, technical design, coding standards ...

Stakeholder engagement and requirements gathering. Data quality, validation and reconciliation. Communicating analytical findings clearly to a range of audiences. Nice to have Experience with Databricks, Salesforce reporting, Python, Azure/AWS, ETL technologies or data modelling would be highly beneficial. Why this role? This is a great opportunity ...

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 ...

regulated industry experience (government, healthcare, financial services or similar) - Knowledge of modern cloud data platforms and Spark-based ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Snowflake or equivalent - Experience supporting domain-oriented lakehouse, warehouse or data-product implementations - Experience with master-data management, shared identifiers and reference ...

internal business units Core technical breadth across the Data & AI domain sufficient to lead credibly: modern data platform and lakehouse architectures (Microsoft Fabric, Azure, Databricks), data engineering and integration, data governance, cataloguing, lineage and quality (Microsoft Purview), analytics and BI (Power BI), and applied AI (Microsoft 365 Copilot, Copilot Studio ...

communication and problem‐solving skills to collaborate across global teams, and translate complex data insights into actionable outputs Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies Ability to communicate technical concepts clearly to non‐technical stakeholders Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm ...

similar value-driven sales frameworks across a team. Deep expertise across cloud computing platforms (AWS, Azure, GCP) and enterprise Cloud Data Platforms (Snowflake, Databricks). Deep domain knowledge in relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL environments (MongoDB, Cassandra, DynamoDB). Hands-on command of integration architecture, including ...

testing frameworks or CI/CD pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real ...

helping customers move away from legacy data warehouses, databases and fragmented data estates towards modern lakehouse, warehouse and federated designs on platforms such as Databricks, Snowflake, Microsoft Fabric and Starburst. In a pre-sales capacity, there is a demand for both technical and commercial awareness coupled with an ability … view of consumption-based platform costs and how to optimise them. Independent Platform Viewpoint - Give customers impartial, evidence-based advice across platforms such as Databricks, Snowflake, Microsoft Fabric and Starburst. Recommend the right fit for their requirements, existing investments and skills, rather than defaulting to one vendor. Opportunity Qualification & Discovery ...

Intermediate Excel and SQL skills, with the ability to interrogate data and evidence conclusions. Experience of a major programming language is beneficial. Experience with Databricks, Unity Catalog, Microsoft Purview or equivalent modern data and governance platforms. Experience with data governance, metadata, modelling or data quality tools such as Collibra, Alation ...

judge calibration)• Guardrail and AI-observability tooling (e.g. NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust)MLOps & LLMOps• Hands-on with MLOps platforms (Azure ML, Databricks, SageMaker) and vector/retrieval databases (Pinecone, Milvus, pgvector)• Experience with GPU-accelerated infrastructure and NVIDIA AI Enterprise or equivalent stacks• Exposure to fine-tuning ...

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 ...