1 to 25 of 63 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 ...

team members, fostering a strong data culture. Your Profile Essential Skills/Knowledge/Experience Extensive Knowledge Cloud data platforms: Microsoft Fabric, Snowflake, Azure, Databricks Data integration, ETL/ELT, CDC, streaming, APIs, and messaging Data modelling (relational, dimensional, NoSQL) Data governance, security, privacy, and regulatory compliance Power BI, Azure ...

large-scale processing, including ETL/ELT, Python, and Spark Proven experience designing and operating modern cloud data platforms on Azure, including Fabric and Databricks Ability to design and govern secure, scalable, and resilient data architecture and pipelines Experience developing self-service data and AI communities across business and technical ...

engineering experience - via data preparation, transformation & conversion to allow for rapid processing of system data across a number of different formats & structures Experience in Databricks, Azure, ADF, Streamlit or alternatives. Excellent technical computing, analysis, design and development skills to a proven professional level. Good understanding of data streaming concepts with ...

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 ...

Skills Strong SQL skills and experience working with Azure-hosted datasets Power BI reporting/dashboards creation Python experience Exposure to Azure Data Lake, Databricks, or Data Factory is beneficial If this is a role that suits your skill set, you are immediatley available and can work 3 days ...

Biases) and model evaluation metrics. Stand Out From the Crowd: Candidates with an advanced degree in ML/NLP, exposure to cloud platforms (AWS, Databricks, Snowflake), or experience in agile, fast-paced environments are highly encouraged to apply or share your updated CV to saisaranya.gummadi @(url removed) Randstad Technologies ...

highly regulated environments. Good knowledge of cloud ecosystems such as Azure , AWS , or GCP . Active SC Clearance . Desirable DV Clearance Experience with Databricks, Spark, or broader data platform tooling CICD experience with Terraform, GitHub Actions, Azure DevOps, or similar Strong stakeholder engagement and technical leadership skills What ...

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 ...

trusted advisor to senior stakeholders Essential Skills & Experience Strong background in Data Architecture and Cloud Data Platforms Hands-on experience with Snowflake, Azure, Databricks and/or Microsoft Fabric Data integration, ETL/ELT, APIs, streaming technologies Data modelling (relational, dimensional, NoSQL) Data governance, security, GDPR and compliance frameworks Experience ...

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 ...

analysis Counterfactual estimation Mathematical optimisation Scenario simulation Solid grounding in Bayesian methods and probabilistic programming. Hands-on experience with scikit-learn, PyMC, TensorFlow, PyTorch, Databricks ML, Keras, and ML at scale. Experienced Data Scientist, including leadership experience and demonstrable impact-ideally within a Net Revenue Management/Revenue Growth Management ...

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 ...

globally distributed engineers, with Product Managers and BAs based onsite Tech environment TypeScript/Node.js Microsoft Azure (APIs, cloud-native services, containers/functions) Databricks (data modelling, optimisation, analytics) CI/CD and DevOps best practices What they're looking for Proven experience as a Senior Engineer or Technical Lead ...

development using Java and/or Scala Frontend development with Angular or similar JavaScript frameworks Experience with distributed compute technologies, such as: Apache Spark Databricks Apache Beam (or similar) Solid experience with Azure cloud technologies Database experience with cloud and relational databases, e.g. Snowflake, Sybase, or similar Strong Unix/ ...

audiences. Additional Skills & Qualifications Adobe certifications such as AEP Architect, RTCDP, Campaign, AJO, AEM Assets. Experience with Offer Decisioning/RTCDP B2B, Snowflake/Databricks, and paid media destination ecosystems. Prior work Experience in high scale B2C/B2B2C environments such as media, telco, retail, and financial services. Why Work ...

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 ...

Nice to have: Exposure to Microsoft Dynamics migrations. Experience with Power Platform/Power Pages (PP). Familiarity with other Azure data services (e.g., Databricks, Azure SQL, Synapse). If you're interested in this role, click 'apply now' to forward an up-to-date copy of your ...

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 ...

Extensive experience in Data standards ISO 10303 experience Experience in working with engineering data integration Desirable Skills: Hands-on experience with tools such as Databricks and Hadoop, and distributed data platforms. Knowledge of modern data warehousing and big data processing frameworks. Ability to work with Azure-based ecosystems and integrate ...

have proven experience in a similar role, with strong capability across: Terraform (IaC) Azure DevOps - pipeline configuration and CI/CD Azure services - networking, Databricks, storage, IAM, VMs Containerisation - Docker/Docker-Compose Security tooling - image/filesystem scanning (Trivy) Scripting - Bash (Python desirable) Version control - Azure DevOps Active ...