1 to 25 of 157 Remote/Hybrid Permanent Databricks Jobs

strong foundation in traditional data engineering skills while being able to adapt to modern tools such as Azure Data Factory, Power BI , and Databricks , with Python as the primary coding language . This role requires hands-on experience with database design, ETL development, data integration, and a passion for data ...

analytics contexts Proven solid background in cloud architecture (Azure, AWS, or GCP) Proven deep understanding of and experience with Microsoft Fabric, Snowflake or Databricks, or comparable technology Proven deep understanding of data engineering, ETL pipelines, and BI tools (Power BI, Tableau, etc.) Proven experience with containerization (Docker, Kubernetes) and serverless ...

Google Cloud Platform or related technologies. • Experience with other cloud platforms (eg AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (eg Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks.Your characteristics as a Consultant will include: • Driven by delivering ...

shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last Creating trusted data products that enable self-service ...

shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last Creating trusted data products that enable self-service ...

shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last Creating trusted data products that enable self-service ...

shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last Creating trusted data products that enable self-service ...

shape and deliver a refreshed data strategy and modern analytics platform Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Designing and optimising core data models that are dimensional, analytics-ready, and built to last Creating trusted data products that enable self-service ...

delivery, including automated build and release pipelines (e.g. Azure DevOps). Significant experience developing and optimising complex SQL queries on modern data platforms (e.g. Databricks SQL). Experience programming in object-oriented or functional languages such as Python or Scala. Experience using statistical or analytical languages (e.g. R) to support ...

Services) Microsoft Fabric, and Power BI Experience of IaaS/on-premises equivalents of the above workloads is valid, such as SSIS, SSAS, SSRS Databricks (desirable) Demonstrable experience of working with query languages within these workloads, such as Transact-SQL to a highly proficient level Data transformation expressions in Data ...

someone with: Proven experience as a Data Engineer or similar cloud-first data role. Expertise in Microsoft Azure data services (Data Factory, Synapse, Databricks) and Microsoft Fabric. Strong SQL skills for managing large-scale datasets. Experience integrating Microsoft Dynamics 365 data solutions. Knowledge of data modelling, warehousing, and ETL/ ...

have most, if not all the following: Experience as a Senior Data Engineer or similar Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. ...

doing Your focus will be on designing, building and owning cloud-native data engineering solutions, including: Leading the development of an enterprise-scale databricks platform using modern data engineering tools and frameworks Building ingestion, transformation and validation pipelines across cloud data sources, APIs and operational systems Translating data architecture into ...

experience in data engineering roles (midsenior level) Hands-on expertise with Azure data services such as Data Factory, Synapse and Azure SQL Experience using Databricks and Python in data processing workflows Strong SQL skills and practical knowledge of dimensional modelling and warehouse design Familiarity with CI/CD approaches ...

Experience Required Strong experience in a senior or lead data engineering role Deep hands-on experience with Azure data services (e.g. Data Factory, Synapse, Databricks, Azure SQL, ADLS) Proven use of Terraform to provision and manage cloud infrastructure Solid understanding of data modelling, ETL/ELT patterns, and large-scale ...

JavaScript Machine Learning: TensorFlow, PyTorch, Scikit-learn GenAI/LLMs: OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes Cloud & Infrastructure: AWS, Azure, GCP CI/CD pipelines (GitLab, Jenkins) Desirable Skills Experience ...

would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowfake etc. Key Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components ...

would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowfake etc. Key Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components ...

data structures, data quality challenges, and how to design reliable transformation logic ·Experience working with modern data platforms such as Azure, GCP, AWS, Databricks, Snowflake, or similar ·Confidence working with imperfect data and making it fit for consumption downstream ·Experience supporting or mentoring other engineers through code reviews, pairing ...

colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today. We are seeking an experienced Senior Databricks Solution Architect to join our data architecture team, focusing on architecting cloud solutions in Databricks. This role involves architecting state-of-the-art data integration … make a significant impact, we want to hear from you! The Architect will: Help establish a cloud-based data management platform (focusing on Databricks) that supports the Medallion Architecture and integrates operational processes, data integration, data warehousing, business intelligence, and advanced analytics (e.g., AI/ML) Work directly with multiple ...

Bring Strong experience as a Data Engineer in cloud and on-prem environments. Hands-on skills with Azure data services (ADF, Fabric, Databricks, Synapse). Proficiency in T-SQL and modern data modelling techniques. Understanding of GDPR/ISO27001 and data governance principles. Experience with Git, CI/ ...

modelling approaches Experience deploying ML services into production using cloud-native technologies (e.g., containers, Kubernetes or equivalent) Experience with Azure and/or Databricks is highly desirable Comfortable working with standard engineering and data tooling: Git, CI/CD pipelines (Azure DevOps a plus), JIRA Experience deploying ML solutions ...

Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest in B2B SaaS, data platforms, or AI-enabled products What’s On Offer Build ...

technologies, depending on the client and project needs but will ideally possess strength in some or all of the following: MS Fabric stack Databricks Snowflake Azure/AWS SQL (advanced) Power BI Tableau Data Modelling including star schema A general IT architecture and systems integration is also required. Other technologies ...

Looking For Proven experience as a senior developer in backend development Strong skills in Python, SQL and cloud-based AI frameworks (e.g Databricks, azure AI services) Proficient with Azure-based software development including Azure DevOps, Git, CI/CD, Entra ID RBAC and Azure Services Understanding of software architecture, design ...