151 to 175 of 270 Remote/Hybrid Databricks Jobs

/B testing and optimisation techniques. Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). ...

JIRA. Experience holding accountability for delivery outcomes against challenging programme timelines. Experience delivering solutions within Data Lakehouse environments. Understanding of Medallion Architecture. Exposure to Databricks platforms and modern cloud-based data ecosystems. Previous experience working with enterprise data transformation programmes. Qualifications Degree educated or equivalent professional experience. Agile certification ...

system efficiency at scale Familiarity with a range of tools and technologies including: Development: Kotlin, Java Data storage/processing: DynamoDB, MySQL, Snowflake, Databricks, Spark Infrastructure as code and CI/CD: Terraform, GitLab CI/CD//You don't need to have experience in every area listed ...

Data & AI - Seen as a credible thought partner to CXOs, with strong understanding of Data, AI, Analytics and tech ecosystems (AWS, Azure, GCP, Databricks, Palantir), enabling articulation of value, limitations, and ROI while influencing strategic decisions and guiding Data & AI-led transformation EXL Differentiation - Position EXL as a Data ...

Data & AI - Seen as a credible thought partner to CXOs, with strong understanding of Data, AI, Analytics and tech ecosystems (AWS, Azure, GCP, Databricks, Palantir), enabling articulation of value, limitations, and ROI while influencing strategic decisions and guiding Data & AI‐led transformation EXL Differentiation - Position EXL as a Data ...

Databricks Data Engineer - Data Ingestion 6 months - £550 a day (outside IR35) Location: UK - Hybrid/Remote We are looking for an experienced Databricks Data Engineer/Data Ingestion Engineer to join a large, global organisation. The role is focused on data ingestion and engineering, connecting data from multiple sources … building robust pipelines within a modern Azure/Databricks environment. Key Responsibilities Build and maintain data ingestion pipelines using Databricks. Connect to multiple data sources including SQL databases, APIs and Azure services. Develop pipelines using Azure Data Factory and Databricks Lakeflow. Implement appropriate ingestion strategies including incremental and batch loads. ...

cross-domain impact. You'll lead NFS's transition from a SQL Server-centric environment to a modern, scalable platform built on Azure Databricks and Python, while keeping Power BI delivery sharp and stakeholder-ready. Your domain knowledge is the differentiator. You ask better questions, catch errors faster, and build … them into governed, trusted BI products from model to report layer. Architect the platform — Lead the shift to a cloud-native lakehouse on Azure Databricks with Delta Lake and Unity Catalog. Establish Python-first standards and reusable framework patterns for the team. Rationalise KPIs — Drive "one version of the truth ...

Data Architect Salary: Up to £72,000, based on skills and experience Contract Type: Permanent– 35 hours a week Location: Hybrid working (office based in Birmingham) – typically 2 days in the office per week Closing ...

Data Software Engineer - Azure Databricks Location: London, UK Rate: £500 per day, inside IR35 Working Mode: 3 days a week on site Description We're looking for a Data Software Engineer - Azure Databricks to join our client (Financial Services) team in London, UK in an hybrid working mode. In this … role, you will design and build data engineering solutions leveraging Azure Databricks and related Azure services, enabling efficient processing and transformation of large-scale datasets. You will collaborate with cross-functional teams to ensure the delivery of optimized, reliable, and scalable data pipelines aligned with business requirements. Responsibilities Develop robust ...

Azure | Databricks | SQL | Outside IR35 | Hybrid THE COMPANY We're partnering with a global mining organisation that is investing heavily in the evolution of its enterprise data platform. Following significant growth and a wider transformation programme, they're looking to bring in an experienced Senior Data Engineer to strengthen … confidently engage with stakeholders, understand technical and commercial requirements and translate them into scalable Azure data solutions. The platform is built around Azure and Databricks, with SQL sitting at the centre of the engineering approach. The team strongly believes in solving transformation challenges through Spark SQL wherever possible, favouring modular ...

collaborate with data scientists, engineers and platform teams to establish standards for CI/CD, experiment tracking, model lineage and governance. Using Databricks, MLflow and Azure ML, you’ll build reproducible pipelines, promote safe productionisation, and strengthen governance while reducing operational risk. #J-18808-Ljbffr ...

Databricks is seeking a senior Solutions Architect for the UK&I Enterprise team. You will engage with大型 customers, define technical strategy, and drive adoption of the Lakehouse platform across data analytics and AI use cases. The role includes coaching juniors, leading workshops, and collaborating with cross-functional teams. Based ...

datasets Experience building and deploying data science/predictive models Experience with customer segmentation, forecasting, or propensity modelling Strong stakeholder communication skills Python and Databricks experience (desirable) Contract Details £500 per day (Inside IR35) – London/Hybrid working – Initial 6-12 month contract. Rates depend on experience and client requirements. ...

Business Application Engineer - London - £50K Exciting new role with a Databricks partner which is vital in enabling their team of consultants to service their clients. You will be the POC who speaks with the business, guiding consultants in their builds of AI applications and bring it back into ownership. Experience ...

/marketing analytics and campaign optimisation Strong understanding of statistical analysis (A/B testing, hypothesis testing, etc.) Experience with cloud analytics platforms (Databricks, Snowflake or BigQuery) Comfortable working in a matrix, fast-paced environment Strong communication skills with the ability to tell a clear story with data This ...

Strong expertise in campaign measurement and marketing effectiveness Advanced SQL skills with experience working on large customer or transactional datasets Hands-on experience with Databricks Strong understanding of customer analytics, segmentation and targeting Experience measuring performance across multiple marketing channels, including onsite and offsite activity Experience using Python and/ ...

want you to know how we build things today. .Net Typescript Azure using Terraform React CI/CD using Azure DevOps and GitHub actions Databricks and Metabase We want our new joiners to relate to and champion our: Champion our customers - We always think about things from the perspective ...

convert partnerships into a primary growth lever, driving co‐sell revenue, joint solutions, and marketplace‐led scale. Your focus will be MAG, Databricks and Snowflake. Key Responsibilities Define and execute EXL’s partner strategy across hyperscalers and data platforms. Position EXL as a strategic Data & AI transformation partner within hyperscaler ...

line with our information governance obligations Work in close partnership with the Data Operations team, who own data analytics, data science,engineeringand product development, Databricks, and data protection,maintainingclear boundaries and strong collaboration between internal technology and client-facing data capability End-user technology and equipment Establish effective management ...

analytics, Power BI reporting and regulated finance use cases. The role also includes responsibility for supporting and maintaining underlying data platform services, including Azure Databricks and Azure Synapse. Key Accountabilities Delivery of reliable, scalable and well-governed data pipelines that meet business and regulatory requirements Operational stability and performance … core data platform services including Azure Databricks and Azure Synapse Availability of trusted, high-quality Gold-layer datasets for analytics and Power BI reporting Adherence to data security, access control and governance standards within a regulated environment Effective resolution of data pipeline and platform incidents with clear root-cause understanding ...

Senior Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data … Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing Analytics, Customer ...

junior engineers and progress into technical architecture or leadership roles. Key Responsibilities Design, develop and maintain data pipelines using Azure Data Factory and Azure Databricks . Build data models and analytics solutions using Synapse Analytics and Azure Data Lake Storage . Develop and optimise ETL/ELT processes. Work directly … technical best practices. About You You'll have: Strong experience with Microsoft Azure Data Engineering . Hands-on expertise with Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage . Development experience in Python, Scala or SQL . Knowledge of data modelling and analytics solutions. Excellent communication skills ...

ideal candidate will possess deep expertise in Google Cloud Platform (GCP) architecture, Oracle Integration Cloud (OIC), Enterprise Performance Management (EPM) strategy and tooling, and Databricks‐based data platforms. This role will be responsible for defining target‐state architectures, assessing and recommending EPM solutions, designing scalable integration frameworks, and enabling cloud … future‐state strategy. Architect and govern Oracle Integration Cloud (OIC) solutions for seamless integration across Oracle and third‐party applications. Design and implement Databricks‐based modern data platforms supporting analytics, reporting, and AI/ML use cases. Develop enterprise data architecture standards, data models, and integration patterns to ensure consistency ...

Data Analyst – Fund Management | London | Competitive + Bonus SQL | Python | Data Visualisation (Power BI/Tableau) | Data Warehousing (Snowflake/Databricks) Our client, a leading US private markets fund manager, is looking for a Data Analyst to join its London office and play a central role in building modern data … technical audiences The role requires: Strong SQL — confident querying, joining, and modelling data, ideally in a cloud platform such as Snowflake (or Databricks/similar) Working knowledge of Python for analytics and automation Hands-on data visualisation experience with Power BI or Tableau , including data modelling and building scalable, performant ...

architecture. Responsibilities Define and maintain the enterprise data architecture, including target-state designs, roadmaps, and architectural standards and patterns. Own the architecture of the Databricks Lakehouse platform, including workspace design, Unity Catalog structure, medallion architecture, and environment strategy. Design and govern data integration patterns for sharing data with external clients … third parties, including secure, scalable approaches using Databricks Delta Sharing, APIs, and file-based exchange where appropriate. Lead the design and adoption of Master Data Management (MDM), including entity definitions, golden-record strategy, match-and-merge rules, and stewardship processes. Establish standards and practices for optimizing Databricks performance and cost ...