151 to 175 of 855 Snowflake Jobs in the UK

expectations on data and AI. Exposure to 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 ...

other projects during this period. Qualifications Must‐Have Data Engineering : Experience with SQL , Python , ETL , ELT , and tools like Spark , Kafka , Airflow , dbt , Snowflake , BigQuery , or Databricks on AWS , GCP , or Azure . Sales : Experience as Account Executives, Account Managers, Customer Success Managers, SDRs, BDRs, or Sales/Revenue Operations ...

GenAI infrastructure and workflows Skills and experience as the Senior Data Engineer: Passionfor building scalable, resilient cloud data platforms Strongexperience with Databricks or Snowflake on AWS ProvenPython skills, including Spark and Airflow expertise AdvancedSQL skills and end-to-end data modelling experience Experiencebuilding batch and real-time data integrations Hands ...

Strong engineering experience with technologies such as Python, SQL, Java, .NET or JavaScript Experience working with modern enterprise data technologies such as Snowflake and/or Databricks Good understanding of enterprise data platforms, data architecture, on-premise lakehouse architectures and enterprise systems Knowledge of DevOps, CI/CD, Infrastructure ...

Apache Flink, Apache Kafka, Spark Structured Streaming, or similar technologies Knowledge of modern data lakehouse architectures and ecosystem such as Kafka, Flink, Spark, Databricks, Snowflake, DBT, Airflow, Debezium, Delta/Iceberg, and comfort with Python/Java and SQL Experience with networking and security concepts within AWS, including VPCs, subnets ...

high-velocity data streams (Kafka, Flink, Spark). Strong with pipeline orchestration tools (Airflow, MLflow, or equivalent). Solid SQL skills (Postgres, BigQuery, or Snowflake) and NoSQL experience (DynamoDB, OpenSearch, Elastic). Real experience with LLM workflows: RAG architectures, embeddings/vector DBs, prompt engineering, function/tool calling, observability. ...

000. Hybrid working arrangement based in Sheffield. Opportunity to influence product and business strategy through data. Exposure to modern technologies including Snowflake, dbt, Python, and leading BI tools. A collaborative environment with strong cross-functional partnership. Clear opportunities for professional development and career progression as the data function continues ...

platform architecture, distributed data systems, orchestration, governance, and scalable data product design Experience with technologies and ecosystems such as GCP, AWS, Azure, Databricks, Snowflake, Kafka, Spark, dbt, Kubernetes, Airflow, ML/AI enablement, or similar modern platform tooling Strong commercial acumen and ability to engage credibly with senior technical ...

senior levels. A proactive and commercially focused mindset with the ability to balance technical excellence with business outcomes. Technical Skills Python SQL SAS R Snowflake Databricks Power BI Tableau Machine Learning and Predictive Modelling Techniques GLMs, GBMs, Demand and Behavioural Modelling What's on Offer? Opportunity to influence pricing strategy ...

frameworks, or developer enablement capabilities. Experience contributing to organizational AI strategy, operating models, or technical standards. Professional certifications or significant delivery experience with GCP, Snowflake, Databricks, or comparable platforms. #J-18808-Ljbffr ...

/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Desirable Skills Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted/eDV security clearance. Location ...

secure delivery across the data platform. Share knowledge, document solutions clearly and challengeestablishedapproaches to improve delivery. What you’ll bring Experience designing, buildingand supporting Snowflake data warehouse solutions. Experience delivering data engineering, analyticsor data warehouse solutions in cloud environments, ideally Azure. Strong SQL capability and experience building scalable ...

Data Quality tools, controls and monitoring frameworks. Understanding of GDPR, data privacy and information management principles. Experience working with cloud data platforms such as Snowflake, Azure, AWS or Google Cloud. Exposure to SQL and an understanding of modern data architecture. Experience operating within Agile or change-led environments. Experience managing ...

measurement, semantic consistency). Experience supporting quantitative or research consumers and performance-sensitive data access patterns. Some Cloud-based Data Analytics platform experience in Snowflake, Databricks or similar data cloud solutions. An AWS Certification is preferred, but not a perquisite. #J-18808-Ljbffr ...

Recipe (About the Role) Shape and deliver the enterprise data and analytics strategy, ensuring data supports business growth and decision-making. Lead the Snowflake data platform, providing trusted, high-quality data across the organisation. Enable self-service reporting through Sigma, Tableau and Microsoft Power BI, supported by clear standards ...

ability to work 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 ...

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 experience architecting ...

Alteryx). Familiarity with at least one data visualisation tool (e.g. Power BI, Tableau). Familiarity with modern data platforms (e. g. Databricks, Snowflake). Familiarity with Generative AI and agentic systems. Familiarity with web scraping (e.g. Python, webscraper.io). Benefits We are committed to being the best consultancy ...

containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure). Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres. Experience designing, deploying, and operating ML models in production, including familiarity with MLOps tooling such as MLflow. Demonstrated ability to work ...

support your development): 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, Microsoft Copilot, Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience of scoping, delivering ...

relationships and referential integrity across datasets. Build and maintain ETL/ELT pipelines that move data from source systems and royalty statement feeds into Snowflake, via AWS S3 and Athena. Write and troubleshoot SQL and Python-based transformations to process royalty and usage datasets, developing a growing focus on performance ...

level (e.g. AWS Certified Solutions Architect - Professional or AWS Certified Data Engineer; Azure Solutions Architect Expert; Google Professional Cloud Architect) Experience with competitive platforms (Snowflake, cloud-native data services, Azure Synapse, BigQuery) — understanding the landscape you'll position against Background in a data/AI company or cloud provider About ...

Message, or 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 ...

inclusive, collaborative teamwork Strong problem-solving and analytical skills Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Hands-on expertise with Spark/PySpark and big data processing technologies Knowledge of open-source table formats and catalog services such as Apache Iceberg Experience ...

pipelines, and strong experience with Python, Scala, or similar programming languages. Experience working with modern cloud data platforms such as Databricks (preferred), Delta Lake, Snowflake, or BigQuery. Proven experience driving complex cross‐functional initiatives from concept through production. Experience leading technical architecture discussions and engineering design reviews. Experience in setting ...