1 to 25 of 121 Permanent Snowflake Jobs in England

practices The "Nice to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (eg AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (eg Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks.Your ...

Snowflake Senior Developer Location: London (Hybrid) Seniority: Senior Individual Contributor Reports to: Data Engineering Lead/Manager --- Summary of role We are seeking a Snowflake Senior Developer to design, develop, and optimise data solutions on our cloud data platform. You will work closely with data engineers, analysts, and architects … deliver high-quality, scalable data pipelines and models. Strong expertise in Snowflake, ETL/ELT, data modelling, and data warehousing is essential. Responsibilities Snowflake Development: Build and optimise Snowflake objects (databases, schemas, tables, views, tasks, streams, resource monitors). ETL/ELT Pipelines: Develop and maintain robust data pipelines using ...

skills. Hands-on experience with ETL/ELT tools (e.g., Matillion, Talend, FiveTran, Azure Data Factory). Experience designing and managing cloud data platforms (Snowflake essential; AWS/Azure/GCP desirable). Solid data modelling knowledge and performance optimisation skills. Awareness of data governance, security, and regulatory compliance . ...

skills. Hands-on experience with ETL/ELT tools (e.g., Matillion, Talend, FiveTran, Azure Data Factory). Experience designing and managing cloud data platforms (Snowflake essential; AWS/Azure/GCP desirable). Solid data modelling knowledge and performance optimisation skills. Awareness of data governance, security, and regulatory compliance . ...

experience with Python , Java (Spring Boot) , React , SQL, and relational databases. Hands-on experience with modern data engineering tools (e.g. Airflow, Spark, Kafka, dbt, Snowflake or similar). Experience with cloud platforms , containerisation (Docker/Kubernetes) , and CI/CD pipelines . Solid understanding of data governance, validation, and compliance ...

exploration or automation Experience integrating Python analytics with Azure AI services (e.g. Azure OpenAI). Familiarity with modern data platforms (Azure Data Lake, Synapse, Snowflake, lakehouse architectures). Experience with predictive or prescriptive analytics beyond basic forecasting. Exposure to automation or orchestration tools for analytics pipelines. Key Performance Indicators (KPIs ...

Airflow). - Knowledge of Big Data technologies (Spark, Hadoop, Kafka). - Strong understanding of API-based integrations. Preferred Skills: - NoSQL experience (MongoDB, DynamoDB). - Snowflake/Redshift/Databricks exposure. - CI/CD for data platforms (GitLab, Terraform, CloudFormation). - Data governance and security frameworks. ...

finance systems (e.g. SAP, Oracle, NetSuite, Workday) Exposure to BI and reporting tools (e.g. Power BI, Tableau, Looker) Experience with cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Familiarity with automation, orchestration, or analytics engineering tools (e.g. dbt, Airflow) Robert Half Ltd acts as an employment business for temporary positions ...

Experience 5+ years' experience working as a Data Engineer or in a similar role Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Microsoft Fabric experience is a strong plus Strong proficiency in Spark SQL and PySpark , including complex transformations Experience building ETL/ELT pipelines using ...

Proficiency in the design and implementation of modern data architectures (ideally Azure/Microsoft Fabric/Data Factory) and modern data warehouse technologies (Databricks, Snowflake) Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB) Knowledge in Apache technologies such as Spark, Kafka and Airflow to build ...

data structures, data quality challenges, and how to design reliable transformation logic ·Experience working with modern data platforms such as Azure, GCP, AWS, Databricks, Snowflake, or similar ·Confidence working with imperfect data and making it fit for consumption downstream ·Experience supporting or mentoring other engineers through code reviews, pairing ...

definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech ...

experience building complex queries and tables. Proficiency in Python and working with large datasets. Hands-on experience with major cloud data warehouse solutions (e.g., Snowflake). Strong background in data governance, data quality and end-to-end data management. Experience with ETL tools, data pipelines and automation. Familiarity with Salesforce ...

/5+ years of data engineering experience Strong Python and SQL skills —essential for pipeline development and data transformation. Experience with Databricks/Snowflake, and PySpark ideally A track record of taking ownership —whether it’s revamping a data warehouse, improving a data lake, or delivering visible business impact. ...

such as ThoughtSpot, Yellowfin, Tableau "AskData", QuickSighton, etc Solid understanding of dimensional modelling (Kimball or similar methodologies) Experience working with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Familiarity with AI/LLM concepts, semantic layers, NLQ tools, and analytics CI/CD practices Next Steps This Analytics Engineer role ...

cloud platforms - AWS is particularly desirable. Understanding of BI and visualisation tools (e.g. Tableau, Power BI). Experience building solutions with AWS and Snowflake, including secure data sharing and performance optimisation. Proficiency in data modelling tools and modelling languages (UML/ERD). Familiarity with data mesh, event-driven design ...

retrieval. Familiarity with ETL/ELT processes and data integration concepts. Interest in working with big data technologies and cloud-based data warehouses (e.g., Snowflake, Fabric). Strong problem-solving skills and the ability to learn and adapt quickly in a fast-paced environment. Basic programming knowledge (e.g., Python ...

must have. Relevant data or AI qualification (e.g. CDMC, DAMA, DCAM, ISACA ) Hands-on experience with data and AI platforms such as Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, or AWS Experience with data analytics tools such as Alteryx, Tableau, Power BI, SQL , etc. Two stage interview process to start ASAP. ...

data modelling Experience delivering large-scale data transformation programmes Strategic mindset with strong commercial acumen Desirable : Experience with modern data stack technologies (Databricks, Snowflake, etc.) Knowledge of DataOps and MLOps practices Previous experience in consumer-facing industries If you are an experienced data engineering leader with FMCG sector experience ...

technical and non‐technical stakeholders. Work collaboratively with engineers, architects, and transformation teams. Operate confidently within enterprise‐scale data platforms. Exposure to Databricks or Snowflake is advantageous. Experience in Life & Pensions insurance (or broader insurance domains) is highly preferred. Ideal Candidate Profile Strong experience in analytics with advanced problem‐solving ...

need to code. Experience scaling data platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. Snowflake/BigQuery/Redshift, dbt, Airflow, BI tools. Comfort operating at both strategic and hands-on levels. Track record of partnering with non-technical stakeholders ...

lending/risk/portfolio datasets Time series familiarity (trend/seasonality, cohorts over time, monitoring) Experience with data tools such as dbt, Airflow, Snowflake/BigQuery/Databricks (or similar) Experience creating automated data quality frameworks or reconciliation checks Benefits: £40,000 – £45,000 salary Hybrid working in London ...

TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads. Knowledge of market insight, technology trends, and competitor intelligence Experience in proposal management ...

technologies, depending on the client and project needs but will ideally possess strength in some or all of the following: MS Fabric stack Databricks Snowflake Azure/AWS SQL (advanced) Power BI Tableau Data Modelling including star schema A general IT architecture and systems integration is also required. Other technologies ...

statistics and practical machine learning concepts (classification, regression, clustering). Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ML, or AWS SageMaker). Ability to present complex issues as simple, compelling, and data-driven narratives, enhanced by AI-supported visualization and summarization tools. ...