26 to 50 of 208 Remote Databricks Jobs

with hands-on experience in relational and dimensional data modelling. Modern Data Engineering: Proven ability to design and deliver scalable solutions using tools like Microsoft Fabric (strongly preferred), Synapse, Databricks, or similar. Supporting Know-How: Solid grasp of data architecture, governance and security. DevOps & Cloud Fluency: Practical experience with CI/CD pipelines, APIs, and cloud tooling (e.g. Azure DevOps More ❯

approach, and a genuine enthusiasm for solving problems and driving innovation. Essential Experience & Qualification Minimum 4 years experience in data architecture, data warehousing, and cloud platforms (e.g. Snowflake, Azure, Databricks). Hands-on expertise with the Microsoft Power Platform, Power Automate, and Copilot Studio. Solid understanding of automation technologies and their practical implementation at scale. Strong command of data visualisation More ❯

production environments Demonstrated ability to translate ambiguous business problems into scalable, production-ready data science solutions Hands-on experience with cloud platforms (AWS, GCP, Azure) and tools such as Databricks, Snowflake, and BigQuery Exceptional communication and stakeholder management skills, with the ability to influence decision-making across technical and non-technical teams Desirable skills Familiarity with real-time model serving More ❯

investment team on tech delivery Strong understanding of Python, with libraries/frameworks such as Pandas, NumPy, and PySpark Strong understanding of distributed computing, with experience using frameworks like Databricks Strong experience with Azure or other cloud platforms (AWS) Strong experience building data pipelines or ETL tools and Orchestration frameworks such as Airflow Strong experience and appreciation of CI/ More ❯

documentation and knowledge sharing including data flow/mappings, data dictionary, ERD related to the data solutions. Minimum Criteria: Building scalable data pipelines, utilising Azure Data Factory, Synapse and Databricks to build and maintain robust data pipelines that process and transform data efficiently. Experience with large data migration (essential) Designing data models: Creating and optimising data models, writing complex SQL More ❯

standards and best practices Skills and Experience Proven experience as a Data Architect Strong knowledge of data modelling, processing, and integration Hands-on experience with modern data platforms (Azure, Databricks or similar) Ability to translate business needs into robust data solutions Collaborative communicator with a passion for data and innovation Technology Cloud & Data Platforms: Azure Synapse, Azure Data Lake, Azure More ❯

such as private endpoints, Firewalls, NSGs, NAT gateways and route tables. Strong understanding of security best practices within Azure and ideally AWS. Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. Excellent communication and collaboration skills, with the ability to work across multiple Should this position be of interest please submit your CV and I will More ❯

experience 5+ years Python and Java 5+ years with Apache Spark (Spark SQL, Spark Streaming, data transformations, performance optimization, and tuning) 5+ years experience with cloud-based data platforms (Databricks or AWS EMR) Proficiency with Git and version control best practices Experience building and maintaining high-volume data pipelines Knowledge of data modeling and ETL best practices Familiarity with SQL More ❯

DevOps for version control and deployment Confident presenting to stakeholders and running end-user training sessions Passion for clean design and data storytelling Any exposure to Microsoft Fabric or Databricks is a bonus More ❯

You will be adaptable and able to work with different tools and technologies, depending on the client and project needs but will ideally possess stength in: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift More ❯

You will be adaptable and able to work with different tools and technologies, depending on the client and project needs but will ideally possess stength in: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift More ❯

scheme, long service recognition, and regular company events What you'll need: Solid experience in data engineering, management and analysis Strong experience with Azure Data Warehouse solutions and AWS Databricks platforms Exceptional Python/PySpark + additional languages for data processing Strong SQL with experience across both relational databases (SQL Server, MySQL) and NoSQL solutions (MongoDB, Cassandra) Hands-on knowledge More ❯

within the insurance sector, ideally with London Market experience. Strong knowledge of insurance data models, including policy, claims, and risk-related structures. Expertise in Azure Cloud Services (Data Factory, Databricks, Key Vault, Azure SQL) and data warehousing methodologies (Kimball, Inmon). Proficiency in T-SQL for data transformation and summarisation, with Python skills for building data pipelines. Advanced Excel skills More ❯

as causal inference (e.g., quasi-experimental and experimental designs) & machine learning methods (e.g., regression/classification); cloud-based services for DS (e.g., Microsoft Azure, Amazon AWS, Google Cloud Platform, Databricks or others); and (v) Able to travel domestically; potential for international travel. Job in Williamsburg, VA - remote work permitted with periodic travel to home office as needed. Full-time/ More ❯

Experience with go-to-market activities, RFI/RFP responses, and proposal materials. TOGAF or equivalent certification; cloud certifications (AWS/Azure); data & AI tooling (e.g., Azure Fabric, Snowflake, Databricks). Experience with Data Mesh and data governance platforms (e.g., Collibra, Informatica). Ability to develop a common language for data, data models, data dictionaries, vocabularies, taxonomies, or ontologies. Experience More ❯

Experience with go-to-market activities, RFI/RFP responses, and proposal materials. TOGAF or equivalent certification; cloud certifications (AWS/Azure); data & AI tooling (e.g., Azure Fabric, Snowflake, Databricks). Experience with Data Mesh and data governance platforms (e.g., Collibra, Informatica). Ability to develop a common language for data, data models, data dictionaries, vocabularies, taxonomies, or ontologies. Experience More ❯

Experience with go-to-market activities, RFI/RFP responses, and proposal materials. TOGAF or equivalent certification; cloud certifications (AWS/Azure); data & AI tooling (e.g., Azure Fabric, Snowflake, Databricks). Experience with Data Mesh and data governance platforms (e.g., Collibra, Informatica). Ability to develop a common language for data, data models, data dictionaries, vocabularies, taxonomies, or ontologies. Experience More ❯

Experience with go-to-market activities, RFI/RFP responses, and proposal materials. TOGAF or equivalent certification; cloud certifications (AWS/Azure); data & AI tooling (e.g., Azure Fabric, Snowflake, Databricks). Experience with Data Mesh and data governance platforms (e.g., Collibra, Informatica). Ability to develop a common language for data, data models, data dictionaries, vocabularies, taxonomies, or ontologies. Experience More ❯

Experience with go-to-market activities, RFI/RFP responses, and proposal materials. TOGAF or equivalent certification; cloud certifications (AWS/Azure); data & AI tooling (e.g., Azure Fabric, Snowflake, Databricks). Experience with Data Mesh and data governance platforms (e.g., Collibra, Informatica). Ability to develop a common language for data, data models, data dictionaries, vocabularies, taxonomies, or ontologies. Experience More ❯

to lead cross-functional teams and deliver complex technical solutions. Familiarity with Agile methodologies, DevOps practices, and AI/ML lifecycle management. Experience with AI platforms (e.g., Azure ML, Databricks, ServiceNow AI agents). Proven expertise with diverse approaches, models, procedures, and solutions used to deliver the duties and responsibilities mentioned above, including: Proven experience with enterprise IT service management More ❯

to meet business needs. Contribute to pre-sales, proposals, and thought leadership activities. Requirements Strong experience designing and maintaining data platforms and ETL/ELT solutions. Solid knowledge of Databricks, Python, PySpark, Spark SQL, Azure and/or AWS. Data modelling expertise (Inmon, Kimball, Data Vault). Familiar with DataOps practices and pipeline monitoring. Experience with sensitive data and applying More ❯

engineering roles, ideally within consumer tech, logistics, or e-commerce. Strong proficiency in Python, SQL, and machine learning frameworks. Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks, DBT, Airflow, or Terraform. Familiarity with AI/ML applications and modern analytics tooling. Excellent communication skills and ability to work independently in a fast-paced environment. Why Join? Be More ❯

and assessing implications of user stories Essential Skills & Experience Software development experience in Java, Scala, or Python Hands-on experience with data platforms such as AWS, Azure, GCP, or Databricks Proficient in SQL and analytical query extensions Experience working with data formats like JSON and XML Familiarity with contemporary data stores (e.g. object stores, document stores, RDBMS, graph databases) Ability More ❯

managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing solutions - Snowflake experience would be brilliant Understanding of CI/CD processes for deploying data solutions Some exposure to big data technologies and distributed More ❯

small, high-performing team. What We're Looking For Hands-on Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and communication More ❯