476 to 500 of 1,448 Permanent Databricks Jobs

Experience designing and enforcing data contracts and quality SLAs in distributed data ecosystems. Proficiency in Python, Java, or Scala, and experience building pipelines with Databricks, Spark, or Kafka. Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices. Familiarity with metadata management and data catalog ...

Claude Code, Microsoft Copilot, Copilot Studio, and Power Automate for workflow automation and agentic capabilities. Figma Make and CloudFlare for prototyping and deployment infrastructure. Databricks and cloud databases for data engineering and model development environments. Python and SQL for data science, modeling, and analysis (Preferred) Visa is an EEO Employer ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Proficient in Python, R, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Strong understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. Skilled in handling large datasets ...

both the strategic acumen of a consultant and the competitive drive of a closer. Demonstrated experience selling in or alongside platforms such as Snowflake, Databricks, AWS, Azure, Google Cloud, or similar. Skilled in uncovering strategic business pain points and aligning value-driven solutions that accelerate AI readiness and trust ...

Apache Flink. Strong understanding of Apache HTTP, Envoy, and REST API design. Experience working with Protobuf, Avro, and Parquet data formats. Knowledge of Iceberg, Databricks, and Hadoop ecosystems. Skills that will help Follows TDD, ATDD and Clean Coding practices and used to setting up or working in an environment using ...

work. Technologies and Tools Python Machine learning frameworks (e.g. PyTorch, TensorFlow, scikit-learn) ML/MLOps tooling (e.g. SageMaker, MLflow, TFServing) Spark and Databricks AWS services (e.g. IAM, S3, Redis, ECS) CI/CD tooling and best practices Streaming and batch data systems (e.g. Kafka, Airflow, RabbitMQ) Additional Information Health ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. Proven ability to handle large ...

models in production settings Experience with multimodal modelling (e.g. text + image) Familiarity with human-in-the-loop systems or moderation workflows Experience with Databricks, PySpark, or large-scale data processing systems Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching ...

DCAM, EDM Council, ISO 8000, ISO 27001, ISO15489or equivalent data/information management frameworks. Experience with Microsoft Purview, Collibra, Informatica,Ataccama, Alation, Azure, AWS, Databricks, Snowflake, MicrosoftFabricor similar platforms. Experience working with DPOs, SIROs, CISOs, enterprise architects, data platformteamsand business data owners. Experience with GDPR, Data Protection Act 2018, Freedom ...

requirements. Technical Expertise Strong experience in designing large-scale data and analytics platforms Expertise in cloud architectures (preferably Azure, incl. Azure Data Factory, Synapse, Databricks, Fabric, etc.) Experience with big data technologies (Spark, Hadoop, distributed systems) Proficiency in data modelling, especially time-series and simulation datasets Knowledge of APIs, microservices ...

strategies, or job efficiency, and treat compute as a resource to manage, not ignore Platform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark) AI Native: experienced in agentic coding workflows (context, harness, loop, and graph engineering), and able to embed ...

market impact modelling, signal generation, back-testing, and trading performance analytics. Strong understanding of cloud-native data platforms and hybrid architectures, including Azure, AWS, Databricks, Snowflake, and modern real-time analytics platforms. Experience working directly with traders, execution teams, quantitative analysts, market risk teams, engineering teams, and market data vendors. ...

following areas: Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps ...

infrastructure (Kafka or similar), and can talk about what broke as readily as what worked. Strong SQL, Python and warehouse fundamentals , with Snowflake or Databricks experience including query performance tuning and cost optimisation. Track record of engineering standards in dbt — testing, CI/CD, documentation and PR review workflows that ...

GIS Recruiter Ltd is seeking an experienced Data Engineer to support a data migration and integration programme within a developing Azure environment. The role focuses on designing and building robust data pipelines, migrating data from ...

Microsoft Azure ecosystem. You will develop scalable data pipelines, transform complex datasets, and help organisations unlock the value of their data through Microsoft Fabric, Databricks and Azure services. Working within a collaborative engineering team, you will contribute to cloud‐native data solutions, ensuring performance, scalability and best practices across enterprise … data platforms. Responsibilities Design, develop and maintain scalable data pipelines using Microsoft Fabric, Azure Databricks and Azure Synapse. Develop ETL/ELT solutions using PySpark and SQL. Build and optimise data integration solutions using Azure Data Factory and Microsoft Fabric. Design scalable lakehouse and data warehouse solutions. Optimise data performance ...

join our Data & Business Intelligence team and help develop, maintain and optimise our cloud-based data platform. Working within a modern Azure and Databricks environment, you'll design and maintain scalable data pipelines, transform and model data, and ensure our data architecture provides a reliable foundation for business intelligence, reporting … understand data requirements and deliver effective solutions. Ensure data quality, accuracy and consistency through validation and monitoring processes. Design and maintain data models within Databricks and Azure SQL environments. Transform and prepare data for reporting, analytics and business intelligence. Support Power BI reporting and dashboard solutions alongside the BI team. ...

Canopius is looking for a Data Architect in Greater London to drive the end-to-end design of their enterprise data architecture. You will work closely with cross-departmental teams to ensure effective data management ...

data, analytics, and AI platforms that support Research business capabilities globally. From Belfast, this role will help build the strategic Research data platform leveraging Databricks, enabling reusable data products, modern analytics, and future AI solutions across the organization. Role Description We are seeking a Senior Data Engineer to help build … will serve as a strategic data and AI enabler for the Research business. Design, develop, and maintain scalable data pipelines using Python, SQL, Spark, Databricks, Azure, and related cloud data technologies. Create curated, reusable, and governed data products that can be consumed by Research applications, dashboards, reporting tools ...

engineering solutions, ensuring alignment with business priorities and best practice Implementing robust ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines and Azure Databricks (PySpark/Spark SQL) to support batch and streaming data processing Designing and delivering real-time and batch data ingestion solutions using Azure Event Hubs … Kafka, Databricks Structured Streaming and Azure Stream Analytics Developing and maintaining modern data platforms, including Delta Lake/Lakehouse architectures on ADLS Gen2, curated datasets, dimensional models and Azure Synapse Dedicated SQL Pools Analysing current business practices, processes and procedures, identifying opportunities to leverage Microsoft Azure Data & Analytics Services ...

hands-on design experience with cloud-based services for modern analytics on the Microsoft Cloud (e.g. e.g. Azure Data Lake, Azure Data Factory, Azure Databricks & Unity Catalog, MS Purview, PowerBI, Ms Fabric) Deep expertise in data architecture, including data modelling (conceptual and logical), Master and Reference Data Management, data quality … role design, systems integration, and evaluation of architectures. Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise ...

hands-on design experience with cloud-based services for modern analytics on the Microsoft Cloud (e.g. e.g. Azure Data Lake, Azure Data Factory, Azure Databricks & Unity Catalog, MS Purview, PowerBI, Ms Fabric) Deep expertise in data architecture, including data modelling (conceptual and logical), Master and Reference Data Management, data quality … role design, systems integration, and evaluation of architectures. Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise ...

We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to ...

We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to ...

Our Data Engineering roles require the eligibility for SC clearance, please check the GOV.UK website for the requirements before you apply. We work with some of the UK's biggest companies and government departments to ...