21 of 21 Part-Time Snowflake Jobs in the UK

Experience with large-scale distributed data processing and performance tuning \n Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) \n Strong SQL skills and experience with ...

environment \n Working with data from multiple systems and structures and at different velocities including near real time \n Strong knowledge of data architecture (Snowflake is preferred), SQL development, security, and process optimisation \n Advanced SQL development including query development and optimisation, stored procedures, and performance tuning \n Expert knowledge ...

sources such as Google Analytics is highly desirable \n In-depth knowledge of cloud-based data architecture, database development, and management. Previous experience with Snowflake is desirable \n Best practice for systems and data governance including development processes and documentation \n Previous responsibility for business-critical data assets and platforms ...

solving skills to collaborate across global teams and translate complex data insights into actionable outputs \n Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies \n Ability to communicate technical concepts clearly to non‐technical stakeholders \n Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm ...

task orchestration software (eg. dbt, Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life \n Strong Snowflake experience is preferred, and Databricks experience would be a bonus \n Practical hands-on experience of at least one cloud platform (AWS, Azure ...

complex, data-centric enterprise environments (Business Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows). \n Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs. ...

data services (e.g. ADF, Synapse, Fabric, Azure Functions). \n\n Desirable Skills \n \n Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric. \n\n Security Clearance Requirements \n The successful candidate must hold a current high level security clearance. \n Location ...

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

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

with data engineering, data analytics, data visualisation and data science teams using platforms such as Alation, Soda, Microsoft SQL Server, Google Cloud Platform, DBT, Snowflake Cloud Data Platform, Tableau and Dataiku (or similar). \n\n Join us as we redefine travel experiences and create memories for millions of passengers. ...

applications. The Data Engineering team has recently undergone a technology transformation to migrate from our legacy data warehouse to a brand-new data platform (Snowflake + dbt + Argo Workflows + Kafka) to better enable the exciting needs of our data stakeholders (Data Science, Machine Learning and Business Intelligence, etc. … keep full control on what's going on and how we shape solutions. Key responsibilities : ● Design and implement robust data models (e.g., star schema, snowflake schema, data vault). ● Develop and maintain dimensional data models to support BI and reporting requirements. ● Develop and implement analytics solutions to track key performance ...

What I need to know \n \n Expert level hands-on experience with SQL, Python, Power BI, and familiarity with Snowflake, AWS or similar cloud data technologies. \n You must have extensive experience in Customer Analytics and Insight Generation in a Digital Retail Click-and-Collect environment, including Customer Segmentation ...

influencing decision-making and guiding teams through ambiguity. \n\n Desirable:\n \n Adobe Certifications \n\n \n Experience with enterprise data platforms (e.g., Snowflake, BigQuery). \n\n \n Familiarity with composable DXP architectures and modern frontend frameworks. \n\n \n Architectural experience with Adobe Experience Manager, including Sites ...

APIs can be exposed to LLM-based agents. \n Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. \n Hands-on with Snowflake, Databricks, Airflow, Kafka. \n\n Why Join Us \n \n Work on firm-wide platforms used by thousands of data scientists, ML engineers, and analysts ...

products, treasury or liquidity management domains. \n \n \nYou are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Lightdash. You're comfortable owning analytics from data transformation through to delivering actionable insights.\n \n \nYou are commercially minded. ...

Advanced SQL capability, with confidence reviewing, optimising, and assuring the quality of complex transformations \n Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse \n Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such … design input, reviews, and mentoring \n Influence how analytics data is built, trusted, and operated at scale \n Work with a modern stack: AWS, Snowflake, dbt, Airflow, SQL, and Python \n\n Join us as we redefine travel experiences and create memories for millions of passengers. At Jet2.com and Jet2holidays ...

audiences. \n\n What you'll have: \n \n \n Advanced SQL capability and experience working with large-scale datasets. \n Experience with BigQuery, Snowflake, or similar cloud-based data platforms. \n Strong dashboarding and data visualisation capability using tools such as Tableau and Looker Studio. \n Exposure ...

rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. \n We’re an award-winning employer reflecting how our employees ...

traditional ecosystems—with extensive experience building data solutions using Microsoft Azure and/or AWS native services, with development to production experience in Snowflake, Databricks or Fabric, managing delivery with an Agile mindset. \n Data Product mentality: You understand how to build Data Products ensuring that every pipeline and dataset … analytics. \n AI: You have a deep expertise or experience of AI, specifically how to build AI solutions in modern data platforms (Databricks/Snowflake). In addition to Microsoft Azure, leveraging core technologies in the AI Foundry ecosystem, understanding different business challenges require varied solutions from ...

training or certification on infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS \n Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation) \n Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with ...

Description \n We are undertaking a strategic migration of our reporting and analytics estate from SSRS to a modern cloud data platform (Snowflake). This role will support the design and delivery of that transformation—establishing best-in-class practices while remaining hands-on in building models, pipelines, and reporting … Support the Migration from Legacy BI to Modern Data Platform \n \n Support the end-to-end migration of reporting assets from SSRS into Snowflake \n Assess and rationalise existing reports (remove duplication, improve logic, simplify where possible) \n Redesign reporting structures to align with modern data modelling principles ...