1 to 25 of 34 Remote/Hybrid Contract Databricks Jobs

project safety, quality, time, and cost management. Key Responsibilities: Translate business requirements and designs into technical solutions. Develop, test, and deploy data products using Databricks, Power BI, SQL, Python, Scala, and other technologies. Build, optimize, and maintain ETL/ELT pipelines and data flows for batch and streaming processes. Document ...

solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teams Desirable Skills for the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model ...

continuously improve your skills and knowledge. Profile The Data Engineer will have mastery of data management and processing tools, including Power BI, Data Factory, Databricks, SQL Server, and Oracle. Proficient in SQL and experienced in database administration. Familiarity with cloud platforms such as Azure and AWS. Excellent problem-solving ...

Fabric and Databricks Data Engineer - Outside IR35 - Hybrid Role OverviewWe're looking for a skilled Fabric & Databricks Engineer to design, build, and maintain scalable analytics and data engineering solutions. You'll work at the core of our data platform, enabling analytics, reporting, and advanced data use cases by leveraging Microsoft … deliver reliable, performant, and secure data pipelines and models. Key Responsibilities Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric and Databricks Build and optimize Lakehouse architectures using Delta Lake principles Ingest, transform, and curate data from multiple sources (APIs, databases, files, streaming) Develop scalable data transformations ...

Cleared Databricks Data Engineer - Hybrid - Outside IR35 We are seeking a skilled Databricks Data Engineer to design, build, and optimize scalable data pipelines and analytics platforms. In this role, you will work closely with data scientists, analysts, and product teams to deliver reliable, high-performance data solutions using Databricks … modern cloud technologies. Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, and Delta Lake Build and optimize ETL/ELT workflows for batch and streaming data Develop data models to support analytics, reporting, and machine learning use cases Ensure data quality, reliability, and performance across ...

Databricks Engineer - £400PD - Remote About the Role We are seeking a highly skilled Azure Data Engineer with deep, hands-on Databricks experience to join our growing data engineering team. In this role, you will design, build, and optimise scalable data pipelines and lakehouse architectures on Azure, enabling advanced analytics … data-driven decision making across the business. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure Synapse, Azure Data Factory, and Databricks ...

Data Scientist: Experience with deep learning frameworks advanced modelling techniques Familiarity with MLOps concepts model monitoring deployment pipelines Exposure to tools such as Databricks MLflow feature stores Experience working in Agile product-led delivery environments Understanding of data governance ethics model explainability Relevant professional certifications relating to cloud data platforms ...

products. Competent in applying statistical and analytical techniques to answer research questions and support recommendations. Skilled in developing code for ad hoc analysis (Excel, Databricks, SQL, Python). Ability to translate between technical and non-technical stakeholders. Knowledge of testing techniques to ensure requirements are fully met. Understanding of data ...

statistics Proven experience in data modelling (relational and dimensional) Advanced SQL and Python skills Experience working with complex, large-scale data environments Experience with Databricks and Snowflake is advantageous Knowledge of Bulk Purchase Annuities (BPA) is beneficial but not essential Experience with data visualisation tools and BI platforms ...

statistics Proven experience in data modelling (relational and dimensional) Advanced SQL and Python skills Experience working with complex, large-scale data environments Experience with Databricks and Snowflake is advantageous Knowledge of Bulk Purchase Annuities (BPA) is beneficial but not essential Experience with data visualisation tools and BI platforms ...

statistics Proven experience in data modelling (relational and dimensional) Advanced SQL and Python skills Experience working with complex, large-scale data environments Experience with Databricks and Snowflake is advantageous Knowledge of Bulk Purchase Annuities (BPA) is beneficial but not essential Experience with data visualisation tools and BI platforms ...

statistics Proven experience in data modelling (relational and dimensional) Advanced SQL and Python skills Experience working with complex, large-scale data environments Experience with Databricks and Snowflake is advantageous Knowledge of Bulk Purchase Annuities (BPA) is beneficial but not essential Experience with data visualisation tools and BI platforms ...

data lineage from raw to curated layers. Platform Knowledge Hands-on familiarity with modern data platforms and tooling, including Snowflake, Databricks, Azure, and ingestion tools such as Azure Data Factory. AI Familiarity Experience using, or a strong desire to learn, Generative AI tools for code analysis, logic interpretation, and automated ...

Lead Data Architect , not solution or enterprise architecture Deep, practical experience across the Azure data stack (for example Azure Data Factory, Synapse, Fabric, Databricks, Data Lake, SQL) Strong background in data modelling , analytics architecture, and large-scale data platforms Experience leading data architecture resets or remediation programmes Excellent verbal ...

Lead Data Architect , not solution or enterprise architecture Deep, practical experience across the Azure data stack (for example Azure Data Factory, Synapse, Fabric, Databricks, Data Lake, SQL) Strong background in data modelling , analytics architecture, and large-scale data platforms Experience leading data architecture resets or remediation programmes Excellent verbal ...

experience in a Head of Data , Data Director , or similar leadership role. Strong background in data engineering, architecture, and analytics . Expertise in Azure , Databricks , and Snowflake (experience with GCP or AWS is a bonus). Familiarity with modern data stack and best practices for data governance. Excellent stakeholder management ...

experience in a Head of Data , Data Director , or similar leadership role. Strong background in data engineering, architecture, and analytics . Expertise in Azure , Databricks , and Snowflake (experience with GCP or AWS is a bonus). Familiarity with modern data stack and best practices for data governance. Excellent stakeholder management ...

acquisition, transformation, and data quality validation Data presentation and reporting Experience with Tableau or other BI/visualisation tools Hands-on experience with AWS, Databricks or SQL Server Experience & Capabilities 5-7 years' experience as a QA/Test Analyst in financial services Strong experience testing investment management data Solid ...

migrated data. What We're Looking For Technical Skills Strong SQL and ability to navigate complex data lineages. Familiarity with modern data platforms (Snowflake, Databricks, Azure) and ingestion tools (ADF and similar). Interest or experience with Generative AI tools for code analysis and documentation. Soft Skills Skilled in workshop ...

/C# and modern integration patterns Experience with CI/CD, monitoring tools, and DevOps practices Security and quality-first mindset Bonus Points: Azure Databricks, Data Platforms experience Enterprise system integration (Salesforce, SAP, Workday, ERP) Containerization (Docker, Kubernetes) Streaming technologies (Kafka, JMS) Why This Role? Challenging, high-impact work with ...

pipelines, architecture, and analytics environments are reliable, performant, and secure. Key Responsibilities Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability … using Azure Data Lake Storage. Implement governance and security measures across the platform. Leverage Terraform or similar IaC tools for controlled and reproducible deployments. Databricks Development Develop and optimise data jobs using PySpark or Scala within Databricks. Implement the medallion architecture (bronze, silver, gold layers) and use Delta Lake ...

lineage, system of record and authority, master data and reference data. Good understanding of DAMA framework and content. Experience of Microsoft data technology stackand Databricks Understanding of defining data schemas and ETL/ELT solutions for the consumption, validation, and secure storage of data Understanding of regulatory obligations related ...

Role Overview Role/Job title: Azure AI Architect Work Location: London, Tunbridge wells, Ipswich, Bolton Role type - Permanent/Fixed Term/Contracting: Contracting Mode of working Hybrid/office based: Hybrid If Hybrid ...

routing, DNS, VPNs, and network security concepts is also essential. Practical experience of managing Azure Key Vault (network-restricted vaults, policies, integrations) & Azure Databricks (VNet injection, private endpoints, secure data access) is required for this role. You will ideally be a Microsoft Certified: Azure Solutions Architect. Please apply ASAP ...

wider regulatory, compliance environment for global insurance businesses (e.g. GDPR) Knowledge of Business Intelligence and Data platform technologies (e.g. Microsoft Fabric, Databricks etc.). Good knowledge of technology governance standards Good knowledge of technology best practice including SDLC Working knowledge of Enterprise and Solution Architecture frameworks and methodologies (e.g. TOGAF ...