126 to 150 of 269 Remote/Hybrid Databricks Jobs

C#, Python, Node, React, R, and Machine Learning and by getting involved as we begin to bring modern data fabrics such as Snowflake and Databricks alongside our SQL Server core. What we are looking forSomeone who has grown from strong, hands-on SQL development into thinking architecturally about data, schema … just delivery against a fixed spec. Curious about where our platform is heading, including our early moves toward modern data fabrics such as Databricks alongside our SQL Server core. What you'll do/key responsibilitiesDevelopment & deliveryMaintain and enhance the data platform that powers CB's suite of productsExperience ...

implementation. The candidate should bring a deep understanding of data architecture (data modeling, data warehousing, and data governance), market leading data platform solutions (e.g. Databricks) and modern data engineering technologies. What you do (Hands on Data architect) Data Platform Strategy: Lead the migration of data workloads and data stores from … fast-paced work environment. Strong communication skills and willingness to collaborate with cross-functional departments and teams. Relevant industry certifications, such as Databricks, Microsoft Azure, or AWS, are highly desirable; proficiency in English is required. Experience with hybrid cloud environments. Familiarity with enterprise architecture and innovation strategies. Ability to work ...

skills Ability to operate independently and translate business challenges into practical technical solutions Desirable Experience for the Senior AI Engineer: Experience with Snowflake or Databricks Experience developing shared AI platforms and model routing solutions Experience supporting AI adoption across nontechnical business functions Previous full stack development experience ...

commercial data and AI capability. You will lead the design and delivery of modern cloud data platforms using technologies including Snowflake and Databricks, supporting analytics, AI and customer intelligence use cases. The role combines technical leadership, commercial strategy and senior client engagement. You will shape strategic opportunities, lead presales ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/B testing ...

motivated work ethic Energetic and enthusiastic personality What makes you stand out: IMC or another investment management qualification Experience with Apache Airflow Experience with Databricks Experience with asset management data Passion for design and architecture Why join our team: We help you be your best through professional development opportunities, interesting ...

Science. These are some technologies that our Data Scientists use (we don't expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover ...

work effectively with senior stakeholders across Engineering, Product, Legal, Security and Data Governance. Familiarity with privacy and consent technologies, experimentation, personalisation, advertising measurement, Databricks, OpenTelemetry or SQL is valuable but not essential - as is practical experience using AI tools to make engineering work smarter. What it's like here ...

work effectively with senior stakeholders across Engineering, Product, Legal, Security and Data Governance. Familiarity with privacy and consent technologies, experimentation, personalisation, advertising measurement, Databricks, OpenTelemetry or SQL is valuable but not essential - as is practical experience using AI tools to make engineering work smarter. What it's like here ...

Science. These are some technologies that our Data Scientists use (we don't expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover ...

Data Architect/Lead Data Engineer – Azure, Databricks & Snowflake Remote First (UK) | Monthly London Meetups | £100,000–£110,000 A fast-growing international fintech organisation is looking for a genuinely hands-on Data Architect who’s just as comfortable building pipelines as designing platforms. This is a two-hats role … business. You’ll be central to every data design decision, shaping how data flows, is modelled, and is used across a modern Azure, Databricks and Snowflake ecosystem. If you enjoy setting the direction and rolling your sleeves up to deliver it, rather than handing designs over to someone else, this ...

data warehousing, ETL/ELT, Data Pipelines, Data Lake, SQL, Performance optimisation etc. * Ability to integrate complex finance ERP or other transactional source systems * Databricks experience. * Excellent ability in documentation and knowledge transfer, so all knowledge is brought in house. * Azure Data Platform technologies, Azure Data Lake, Azure Analysis Services. … Data Engineer/MS Fabric/SQL/ETL/Data Lake/data warehouse/Azure data platforms/Snowflake/Kimball/Databricks/Dudley/Wolverhampton/Birmingham Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus ...

experienced and driven Solutions Architect responsible for defining and guiding the technical implementation of the organization's enterprise data strategy centered on the Databricks Lakehouse Platform . In this role, you will design scalable, secure, and high-performing data solutions that enable analytics, AI, machine learning, and operational reporting. … Storage/ADLS, Azure networking, identity and access management, Key Vault, and related services. Demonstrated experience designing and implementing an enterprise data platform using Databricks or a comparable modern cloud data platform. Experience designing data architectures that support enterprise BI and analytics, preferably including Microsoft Fabric and Power BI. Solid ...

Location: London; UKWork type: HybridSeniority: LeadPrimary skill: Data Software EngineeringPosted: 2026-09-29We're looking for a Lead Databricks Engineer to join our team in London, UK in a hybrid working mode. This role involves designing and leading enterprise-scale Azure and Databricks data platforms to enable advanced analytics … architecture design and implementation of scalable solutions on Azure DatabricksDefine and enforce platform standards, ensuring compliance with data governance and security policiesBuild and optimize Databricks streaming workloads, including Structured Streaming and Delta Live TablesCollaborate with cross-functional teams to translate requirements into robust technical solutionsDrive platform performance tuning, cost optimization ...

deliver high-quality data solutions that support analytics, reporting, and AI initiatives.In this role you will· Design and build scalable data pipelines using Databricks, PySpark, SQL, AWS Glue and Lambda.· Develop and manage Data Lake solutions using Bronze, Silver, and Gold data architectures.· Implement batch and real-time data processing … using Spark Structured Streaming and Auto Loader.· Optimize Databricks workloads for performance, scalability, reliability, and cost efficiency.· Establish data quality, governance, and security controls using Unity Catalog and enterprise best practices.· Lead technical delivery, code reviews, and engineering standards across the data engineering team.· Collaborate with Product Managers, Architects, Analysts ...

master data standards. Define architecture designs, data flows and integration specifications. Provide technical leadership across architecture and engineering teams. Essential Skills: Strong AWS and Databricks expertise, including Lakehouse and Delta Lake. Extensive data modelling and enterprise data architecture experience. Supply chain planning, demand forecasting and inventory optimisation. Knowledge of SCOR ...

master data standards. Define architecture designs, data flows and integration specifications. Provide technical leadership across architecture and engineering teams. Essential Skills: Strong AWS and Databricks expertise, including Lakehouse and Delta Lake. Extensive data modelling and enterprise data architecture experience. Supply chain planning, demand forecasting and inventory optimisation. Knowledge of SCOR ...

master data standards. Define architecture designs, data flows and integration specifications. Provide technical leadership across architecture and engineering teams. Essential Skills: Strong AWS and Databricks expertise, including Lakehouse and Delta Lake. Extensive data modelling and enterprise data architecture experience. Supply chain planning, demand forecasting and inventory optimisation. Knowledge of SCOR ...

developing and deploying scalable, production-ready AI applications Experience working with cloud platforms and AI technologies, such as Azure, AWS or GCP Exposure to Databricks, Microsoft Foundry or similar AI and data platforms would be beneficial Strong stakeholder management skills If you're an experienced Staff AI Engineer looking ...

performance. Skills & Experience 8+ years in Data Analytics or Data Science (Customer Success, Operations, or Digital Experience ideal) Strong SQL skills; experience with Snowflake, Databricks, Spark Dashboarding expertise (Tableau, Qlik, or similar) Python or R for analytics/automation (preferred) Knowledge of statistical methods and A/B testing Experience ...

influence and build consensus without direct authority • Any understanding of data platforms and Data Lakes would be very useful but is not essential • Databricks experience is advantageous but not also not essential • Good understanding of the software development lifecycle • Experience with Jira, Azure DevOps, Linear or similar delivery tools Experience ...

frameworks. Excellent understanding of statistics, machine learning methodologies, and model evaluation. Experience delivering AI solutions from proof-of-concept through to production. Exposure to Databricks, MLflow, Spark, or similar cloud-based data platforms. Ability to influence senior stakeholders and lead technical strategy Desirable Experience Experience building multi-agent AI systems ...

Intermediate-Advanced) - Writing queries from scratch preferred Experience working with datasets, including understanding table relationships, joins, and data flow across systems preferred Experience with Databricks experience - Data engineering/big data platform preferred Experience with Excel (Intermediate-Advanced) - Data manipulation, analysis, and reporting (e.g., formulas, pivot tables) preferred Demonstrated ability ...

Github, Gitlab, etc.) Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera CDH Hadoop, MapR Hadoop, Databricks, Apache Spark, etc ) is a plus. DoD 8140/8570 IAT Level II compliance certifications may be required in this position as directed ...

Github, Gitlab, etc.) Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g. Cloudera CDH Hadoop, MapR Hadoop, Databricks, Apache Spark, etc ) is a plus. DoD 8140/8570 IAT Level II compliance certifications may be required in this position as directed ...