176 to 200 of 1,448 Permanent Databricks Jobs

experience designing and evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions Strong stakeholder engagement skills, including engagement with senior stakeholders Experience leading ...

previous role in a lead or senior engineering capacity Proven track record leading data engineering delivery within a Microsoft-first environment - Azure Data Factory, Databricks, Synapse, Azure Data Lake Hands‐on experience building and managing ETL/ELT pipelines, data lakes and data warehouses in a cloud environment Proficient ...

helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Why else you'll love it here ...

analysis. Exposure to Six Sigma, Design of Experiments (DOE), Statistical Process Control (SPC) or robust engineering methods. Experience using Siemens Insights Hub, Siemens Xcelerator, Databricks, Power BI or equivalent industrial analytics platforms. Experience applying machine learning or AI techniques within manufacturing or industrial environments. Personal attributes: Be customer focused ...

development and programme management experience The autonomy, judgement and drive to progress complex initiatives with limited direction Experience of Microsoft data technologies, Power BI, Databricks, unified data platforms or medallion architecture would be particularly useful. A data management qualification such as CDMP would be advantageous but is not essential. Substantial ...

Database optimization Monitoring program operations to ensure compliance with federal regulations Knowledge of ETL/ELT processes and tools for data integration, such as: Databricks, Snowflake, Azure Data Factory, Microsoft SQL Server tools (SSIS, SSMS, SSAS, SSRS), Azure Synapse Analytics Proficiency in querying data using SQL and experience optimizing ...

passion for automation, innovation and leveraging AI technologies to improve processes and insight generation.**You'll Stand Out If You Have*** **Experience with Python, Databricks or modern data platforms.*** **Knowledge of SAP, SAP Analytics, SAP BW or SAP S/4HANA.*** Exposure to **procurement, supply chain or market intelligence analytics. ...

systems at scale; such as Pulsar, Kafka, RedPanda. Must have knowledge and experience automatically provisioning and supporting multiple big data technologies; such as MongoDB, DataBricks, Big Query, Hadoop, Spark, Trino, DataLakes/Lakehouse Architectures. Infrastructure management with Terraform Experience with Github or any other source control Knowledge of Scripting/ ...

similar analytical languages. Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake. Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling. Requirements A minimum of 1 year ...

architecture design experience. Lead initiatives to build and deploy data products to support data scientists, engineers and agentic analysts. Experience with cloud data warehousing (Databricks preferred), IaC and Astronomer/Airflow. Mentor and support junior engineers and partner with data scientists on data engineering projects. Additional Information PMI and cash ...

similar value-driven sales frameworks across a team. Deep expertise across cloud computing platforms (AWS, Azure, GCP) and enterprise Cloud Data Platforms (Snowflake, Databricks). Deep domain knowledge in relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL environments (MongoDB, Cassandra, DynamoDB). Hands-on command of integration architecture, including ...

fast-paced environment Focus on delivering secure and scalable solutions Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Deep hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such ...

/ML data pipelines in a clinical context. Familiarity with HL7 FHIR R4/R5 and modern SMART on FHIR architectures. Experience with Snowflake, Databricks, or Spark at scale. Why Work for Proximie? You will be encouraged to grow in your role, take ownership and gain responsibilities. Generous annual leave. ...

Experience implementing AI-driven analytics workflows, automation capabilities, or production-grade AI agents.* Strong experience working with modern cloud data platforms such as Snowflake, Databricks, or Microsoft Fabric.* Experience applying Agile methodologies and SDLC principles to analytics, BI, or data product delivery.* Excellent SQL, data modeling, and analytical problem-solving ...

proposals and quality-assure governance reporting. A working tool, not the focus of the role. Platform — Familiarity with the Microsoft Azure stack and Databricks. Databricks is LRQA's main data platform and will host the data catalogue, so the postholder must be able to work within it and hold engineering ...

cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different ...

formats, query engines, ingestion patterns (Iceberg vs Delta; Dremio vs Trino vs Snowflake; streaming vs batch). Hands-on experience with: Dremio, Snowflake, or Databricks AWS data services (S3, Glue, Athena, Lake Formation, or equivalent) NATS/Apache Kafka or similar, and CDC patterns (Debezium or equivalent) Stream processing (Apache ...

across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant You will also work with ...

Preferred Experience with NLP, computer vision, or multimodal AI models Knowledge of AI safety, guardrails, and responsible AI practices in production Familiarity with Snowflake, Databricks, or similar data platforms Prior experience acting as an AI champion or innovator within a larger organisation Consulting or client-facing delivery experience Bachelor ...

Senior Data Engineer Databricks | Competitive Salary | UK (Remote) Are you an experienced Data Engineer who enjoys turning complex data into reliable, scalable solutions? Do you have strong hands-on experience with Databricks, PySpark, Python and SQL? The role 7Dxperts is looking for a Senior Data Engineer Databricks to join … team. Youll build and improve data pipelines that solve real business problems, working with modern Databricks and cloud technologies. Alongside hands-on development, youll troubleshoot issues, improve performance and work closely with engineers, analysts, data scientists and technical leads. Key Responsibilities You will: Build scalable pipelines using Databricks, Spark ...

across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant You will also work with ...

Preferred Experience with NLP, computer vision, or multimodal AI models Knowledge of AI safety, guardrails, and responsible AI practices in production Familiarity with Snowflake, Databricks, or similar data platforms Prior experience acting as an AI champion or innovator within a larger organisation Consulting or client-facing delivery experience Bachelor ...

Primary Responsibilities Client Engagement & Delivery Data Pipeline Development (Batch and Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation (Delta Lake, Medallion architecture) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers, and Analysts Client stakeholders up to Head of Data Engineering, Chief Data Architect … Analytics leadership Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms. Strong consulting values with ability to collaborate effectively in client-facing environments. Hands‐on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption. Strong problem‐solving, analytical, and communication skills. ...

Alto Software Group is hiring a Senior Data Platform Engineer in London. You will scale and operate a data lakehouse powering internal analytics and data products, migrating from legacy systems and building reusable data pipelines. ...

deliver scalable, secure, and high-performing data solutions across cloud and on-premises environments. The role requires expertise in modern data platforms including Snowflake, Databricks, Microsoft Fabric, Azure, AWS, and Google Cloud, along with strong knowledge of data modeling, governance, data integration, and AI/ML enablement. Key Responsibilities Enterprise … logical, and physical data models. Develop enterprise data roadmaps aligned with business strategy. Data Platform Design Architect modern cloud-based data platforms using Snowflake, Databricks, Azure Synapse, Microsoft Fabric, AWS Redshift, and Google BigQuery. Design Lakehouse, Data Warehouse, and Data Mesh architectures. Build scalable ingestion, transformation, and serving layers. Data ...