226 to 250 of 1,816 Databricks Jobs in England

manage multiple priorities. Willingness to learn new systems, tools, and processes. Desirable Experience working with SAP. Familiarity with version control tools. Experience with Azure Databricks and/or Azure Data Factory for building and managing data pipelines. What Youll get in Return Starting salary £55,125 rising ...

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 ...

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 What We Are Looking ...

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 ...

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 ...

workflows,automation, or enterprise data architecture.Knowledge of public cloud platforms such as AWS, Azure,or GCP, and exposure to cloud data platforms such asSnowflake, Databricks, BigQuery, Redshift, or MicrosoftFabric. Relevant certifications are a plus, although not arequirement.Strong understanding of analytics workflows, dataintegration, data governance, automation, and howmodern analytics solutions ...

rights, escalation routes, data standards and ongoing service management.Strong Microsoft Azure data platform knowledge, ideally including Azure Data Lake, Microsoft Fabric, Azure SQL, Synapse, Databricks, integration services, Power BI and common enterprise integration patterns.Hands-on knowledge of Microsoft Purview, including data discovery, scanning, catalogue design, glossary or business concept modelling ...

/or Genetics datasets Proficiency in cloud computing, data/scripting programming languages and workflow orchestration technologies (e.g. Python, R, Bash, SQL, Nextflow, Airflow, Databricks , etc.) Demonstrated expertise in ETL processes, data pipelines, metadata harmonisation, data lifecycle management, data product release processes and operational support Experience operationalising analytical workflows such ...

Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. Architecture & Modelling: TOGAF; DAMA; ArchiMate ...

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 ...

architectures, including data lakes, data warehouses, Lakehouse architectures, and distributed computing frameworks Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake Good understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated ...

code, code review, CI/CD). Data & Pipeline Expertise: Hands-on experience optimizing data models and access patterns for modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats ...

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 Things to note Just ...

technologies – Azure experience would be beneficial, but we're open to candidates with transferable experience from other cloud platforms. (Desirable) Progress OpenEdge experience. (Desirable) Databricks, Spark or PySpark experience. (Desirable) Experience feeding data into AI systems, including RAG pipelines, vector stores, embedding workflows, or using Azure AI Foundry or similar ...

semi-structured data. Experience with batch and near real-time processing across multiple sources and targets. Practical capability with Azure Data Factory and Databricks or Spark, plus Azure Blob Storage or Azure Data Lake. Understanding of data modelling, data marts, metadata-driven development, data dictionaries and lineage. Experience delivering through ...

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 ...

real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks* Ability to think strategically and relate architectural decisions and recommendations to customer needs.* Ability to assess traditional and modern data architectural components based on business ...

code, code review, CI/CD). Data & Pipeline Expertise: Hands-on experience optimizing data models and access patterns for modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats ...

expectations on data and AI. Experience with using data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau, Databricks, Snowflake, Microsoft Purview, Collibra, Informatica, Claude, Chat GPT, Microsoft Copilot, Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience ...

quality & pace of your output Technologies we love Languages: Python, Spark, SQL Tools: AWS, Azure, Git, Rest APIs, Kubernetes, Docker, Terraform, Datadog Datastores: Databricks, OpenSearch, Postgres Equal Opportunity Statement At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal ...

Robotics- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials- Demonstrating proficiency in AI implementation and machine learning libraries- Utilizing complex data analysis and data modeling techniques- Excelling ...

Consulting implementation partner or as part of a delivery/technical consulting team in a software company.* Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture* Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure ...

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 ...

global, cross-functional teamsPreferredExperience with NLP, computer vision, or multimodal AI modelsKnowledge of AI safety, guardrails, and responsible AI practices in productionFamiliarity with Snowflake, Databricks, or similar data platformsPrior experience acting as an AI champion or innovator within a larger organisationConsulting or client-facing delivery experienceBachelor or Master degree ...

Senior Databricks Data Engineer | Global Real Estate Investment Manager | London (Hybrid) Marks Sattin is partnering with a global real estate investment and asset management organisation undergoing a significant transformation of its data estate. As part of a wider modernisation programme, the business is migrating critical real estate data capabilities from … legacy SQL Server environments into a modern Databricks platform, creating a more scalable, governed and future-ready foundation for analytics, reporting and investment decision-making. This is an opportunity to play a key role in shaping the future of a business-critical data platform used across real estate equity ...