26 to 50 of 105 Contract Databricks Jobs

Data Architecture. Expertise across foundational data domains including data modelling, data engineering, data governance, and data consumption. Working knowledge with the likes of Databricks, Snowflake, Anthropic etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in architecting complex data solutions. Experience leading ...

Data Engineer Manager, you will: Define enterprise data strategies, target architectures and transformation roadmaps. Architect modern data platforms using Microsoft Fabric, Azure Databricks, Azure Synapse, Azure Data Factory, Azure Data Lake and Power BI. Design scalable data lake, lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality … Engineering or Technology Architecture. Strong enterprise experience with Microsoft Azure Data and Analytics. Hands-on architectural experience with Microsoft Fabric and/or Azure Databricks/Synapse. Strong knowledge of data modelling, data lakes, lakehouses, data warehouses and data integration. Experience with data governance, security, privacy and Microsoft Purview. Understanding ...

regression and production validation. Own production cutover, rerun/recovery, observability, alerting and incident technical response. Mandatory Skills: Advanced SQL; Python/Spark; Databricks data engineering; workflow orchestration; dependency management; idempotency; scheduled/triggered jobs; CI/CD; Git/Azure DevOps; PR review; unit/integration testing; environment promotion ...

important. Desirable Experience Kong API Gateway and API lifecycle management. API security, including OAuth2, JWT, mTLS and access controls. Data platforms, data lakes, Databricks, Spark or distributed processing. Cyber Security or security engineering environments. Strong cloud engineering and ownership of DevOps pipelines. Personal Attributes Strong engineering mindset with a focus ...

important. Desirable Experience Kong API Gateway and API lifecycle management. API security, including OAuth2, JWT, mTLS and access controls. Data platforms, data lakes, Databricks, Spark or distributed processing. Cyber Security or security engineering environments. Strong cloud engineering and ownership of DevOps pipelines. Personal Attributes Strong engineering mindset with a focus ...

governance, ethics and responsible AI Eligibility for Enhanced DBS and BPSS clearance Desirable: Experience with PyTorch, TensorFlow, LangGraph, R or Java Experience with Spark, Databricks or similar distributed data platforms, and exposure to MLOps Experience of AWS, Azure or GCP AI/ML services, ideally with vendor certifications ...

with different technical challenges. Your experience Strong experience working with SQL and large datasets. Python programming and sound software engineering practices. Exposure to Spark, Databricks, AWS, Azure or Google Cloud Platform. Experience with data orchestration tools such as Airflow. Understanding of data modelling, data quality and feature engineering. Ability ...

domains as delivery priorities evolve. Desirable Experience Previous experience working within a major banking or financial services organisation. Experience with modern data platforms, including Databricks, data lakes or data warehouses. Experience working with Scrum teams and Agile delivery frameworks. Experience managing multiple data-related business initiatives. This ...

scalable data platforms end-to-end on AWS and/or Databricks. Production Coding: Strong, hands-on production experience with Python, SQL, Spark, and Databricks or AWS data tools. Consulting/Client Delivery: Experience working in a consultancy, systems integrator, or client-facing setting with direct accountability to project delivery … Cost Optimization: Experience implementing cost controls, platform monitoring, and optimizing data compute/storage expenses. Clearance: SC clearance, or eligibility for it. Desirable Certifications: Databricks and/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis ...

scalable data platforms end-to-end on AWS and/or Databricks. Production Coding: Strong, hands-on production experience with Python, SQL, Spark, and Databricks or AWS data tools. Consulting/Client Delivery: Experience working in a consultancy, systems integrator, or client-facing setting with direct accountability to project delivery … Cost Optimization: Experience implementing cost controls, platform monitoring, and optimizing data compute/storage expenses. Clearance: SC clearance, or eligibility for it. Desirable Certifications: Databricks and/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis ...

confident working with senior stakeholders, defining meaningful success metrics and demonstrating the value of transformation initiatives through data. Experience with AI, Databricks, Azure or regulated industries would be advantageous. ] Why Join Us? This is more than a data role. It's a chance to help shape the future ...

regulated environments. Knowledge of DAMA-DMBOK, NIST AI Risk Management Framework, ISO 27001 or UK GDPR. Experience with Microsoft Purview, Microsoft Fabric, Azure ML, Databricks, Collibra or Alation. Exposure to MLOps, AI model monitoring and automated governance processes. Experience working within secure or restricted technology environments. ...

regulated environments. Knowledge of DAMA-DMBOK, NIST AI Risk Management Framework, ISO 27001 or UK GDPR. Experience with Microsoft Purview, Microsoft Fabric, Azure ML, Databricks, Collibra or Alation. Exposure to MLOps, AI model monitoring and automated governance processes. Experience working within secure or restricted technology environments. ...

multiple countries or regions. - Excellent senior stakeholder and executive communication skills. Technology Strong technical understanding of modern data environments, with desirable experience across: Azure, Databricks, Lakehouse, MDM, Customer Data Platforms, APIs & Event-Driven Integration, Data Quality, Metadata & Lineage, ETL/ELT, Data Migration. You do not need ...

regulated environments. Knowledge of DAMA-DMBOK, NIST AI Risk Management Framework, ISO 27001 or UK GDPR. Experience with Microsoft Purview, Microsoft Fabric, Azure ML, Databricks, Collibra or Alation. Exposure to MLOps, AI model monitoring and automated governance processes. Experience working within secure or restricted technology environments. ...

social impact datasets is desirable Knowledge of sustainability reporting methodologies and frameworks is desirable Strong stakeholder management and business partnering skills Familiarity with Databricks, SQL, Power Automate or similar data tools is desirable Strong analytical and problem-solving skills, with a data-driven approach to developing business solutions Ability ...

Semantic Kernel, Prompt Flow, and enterprise AI governance patterns. 7+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs. Proven ability to own solution architecture … pharmaceuticals, or other regulated industries. Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture. Core Technology Stack Data platform : Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration. AI platform : Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt ...

Azure OpenAI and Azure cloud services. Experience processing and extracting data from complex documents. Strong testing and CI/CD experience. Desirable OCR solutions Databricks Energy sector or Public Sector experience Terraform and Cosmos DB This is an excellent opportunity to work on a cutting-edge AI programme with real ...

early and obtain approval before implementation. Capture architecture decisions, exceptions and deviations in logs, plans and technical documentation. TECHNICAL REQUIREMENTS Strong Azure platform experience: Databricks, Azure Functions, IAM/RBAC, Storage Accounts, Networking, Virtual Machines, Key Vault, Monitoring and Alerting. Infrastructure as Code using Terraform. Azure DevOps Pipelines ...

Experience: 6–10+ Years Key Skills: MDM, Databricks, PySpark, SQL, Delta Lake, Unity Catalog, Data Quality, Data Governance Role Summary We are looking for an experienced MDM/Databricks Data Engineer to build scalable master data and integration solutions on a modern Databricks Lakehouse. The role will focus on common … Design and implement MDM solutions , including common IDs, Golden Records, entity matching, deduplication, and survivorship rules. Integrate data from multiple source systems into the Databricks Lakehouse . Develop and optimize data pipelines using Databricks, PySpark, SQL, and Delta Lake . Build and enhance Bronze, Silver, and Gold data layers. Implement ...

will work across the following: Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data … meet both technical and business needs We are looking for experience in the following: Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering ...

will work across the following: Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data … meet both technical and business needs We are looking for experience in the following: Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering ...

will work across the following: Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data … meet both technical and business needs We are looking for experience in the following: Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering ...

Senior Data Engineer to help shape the future of its data platform. You'll take ownership of building scalable data solutions in Databricks primarily, establishing a single source of truth, and enabling trusted, self-service access to data across the business. Location: UK, remote with very occasional visits … plus 10% bonus and an extensive benefits package. What you'll be doing Design, build and maintain scalable data pipelines and data products using Databricks , PySpark, Spark SQL and Delta Lake. Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems. Shape ...

Senior Data Engineer to help shape the future of its data platform. You'll take ownership of building scalable data solutions in Databricks primarily, establishing a single source of truth, and enabling trusted, self-service access to data across the business. Location: UK, remote with very occasional visits … plus 10% bonus and an extensive benefits package. What you'll be doing Design, build and maintain scalable data pipelines and data products using Databricks , PySpark, Spark SQL and Delta Lake. Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems. Shape ...