1 to 25 of 81 Remote/Hybrid Permanent Snowflake Jobs

solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps ...

infrastructure-as-code practices, and ideally container orchestration with Kubernetes. Familiarity with SQL and NoSQL databases (Cassandra, Postgres), ideally combined with data collaboration platforms (Snowflake, Databricks) Strong DevOps mindset with experience in CI/CD pipelines, monitoring, and observability tools (Grafana or equivalent). Exposure to analytics, reporting ...

Have: Experience working with financial, operational, or transactional data; exposure to real-time or event-driven systems; experience with data warehouses such as BigQuery, Snowflake, or Redshift. What We’re Looking For: Strong systems thinker with attention to detail; comfortable working with ambiguity and evolving products; interest in building infrastructure ...

clearance (mandatory) Desirable Experience Previous UK government or public sector contracts Experience with Airflow, Azure Data Factory, AWS Glue or Kafka Exposure to Snowflake or hybrid data architectures Knowledge of secure, regulated data environments ...

datasets and semantic layers Hands-on dashboard development using Tableau, Power BI, Looker, ThoughtSpot or similar tools Experience with enterprise data platforms such as Snowflake, Databricks or BigQuery Proficiency in Python or similar scripting languages for analytics, automation or data manipulation Experience implementing CI/CD pipelines using Git, automated ...

data modelling concepts (dimensional modelling preferred) Experience working in a SaaS or product-led environment Desirable Skills Exposure to cloud data platforms such as Snowflake, BigQuery or Redshift Experience working in a modern data stack environment (Fivetran, Airflow, etc.) Python experience for data manipulation or automation Strong stakeholder management ...

systems, microservices, and performance optimisation Experience with CI/CD, Git, and modern software engineering practices Nice to Have Exposure to platforms like Databricks, Snowflake, or BigQuery Experience in consulting or client-facing environments Cloud or data engineering certifications Experience mentoring or supporting junior engineers If you’re a Data ...

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 ...

interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus ...

/CD, Git, Docker Databases: Oracle/SQL Architectural & Domain Knowledge Strong experience designing solutions in big data ecosystems (e.g., Hadoop, Spark, Kafka, Databricks, Snowflake) and building complex data pipelines. Deep understanding of analytics architectures, including BI platforms, data modeling, integration frameworks, and streaming architectures. Solid knowledge ...

equivalent experience. Strong experience working as a Data Engineer, preferably in a cloud-based environment. Experience with cloud-based data storage platforms, preferably Snowflake, Azure SQL Data Warehouse or AWS Redshift. Solid practical experience and understanding of DataVault and Kimball-style data warehousing methodologies. Proficient in SQL and data querying ...

Engineering, with at least 2+ years in a formal leadership or management role. Data Platform Mastery: Proven experience with modern data platforms such as Snowflake (AI Data Cloud) and cloud‐native services. Good understanding of open‐source table formats, specifically Apache Iceberg , to enable interoperability, schema evolution, and high‐performance ...

building and maintaining data pipelines in AWS using services such as S3, Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering ...

building and maintaining data pipelines in AWS using services such as S3, Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering ...

building and maintaining data pipelines in AWS using services such as S3, Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering ...

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: £45,000 – £55,000 salary Hybrid working in London ...

Succeed: Strong software engineering skills, with Python as a primary language Strong SQL skills and experience working with analytical data warehouses (e.g. BigQuery, Snowflake) Experience building production-grade data pipelines or distributed data systems Experience working with large-scale datasets Familiarity with cloud infrastructure (e.g. GCP, AWS, or similar) Solid ...

building and maintaining data pipelines in AWS using services such as S3, Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering ...

experience in software and data engineering, with provable experience operating at a Principal, Staff, or equivalent level. Deep proficiency across the modern data stack (Snowflake, BigQuery, Delta Lake, Iceberg, Kafka, Flink). Proven track record designing scalable, self-service data platforms using cloud-native services (AWS/GCP) and infrastructure ...

experience in software and data engineering, with provable experience operating at a Principal, Staff, or equivalent level. Deep proficiency across the modern data stack (Snowflake, BigQuery, Delta Lake, Iceberg, Kafka, Flink). Proven track record designing scalable, self-service data platforms using cloud-native services (AWS/GCP) and infrastructure ...

analytics and data manipulation Ability to work with complex, multi-source datasets Desirable: Exposure to AI tooling or applied data science techniques Experience with Snowflake Experience with Databricks (Not essential) Candidate Profile Strong Python engineer with a data-focused background Comfortable working in greenfield/build-from-scratch environments Strong ...

cloud-based data ecosystems (GCP Preferred) Hands on knowledge of tools such as BigQuery, Dataflow, Pub/Sub Experience with Databricks and/or Snowflake Strong understanding of modern data architectures (e.g. Data Mesh, event-driven systems, APIs) Experience working in Agile delivery environments with backlog ownership Ability to translate ...

initiatives. Whatwerelooking for Proven experience leading data platform, data engineering, or enterprise data delivery teams Strong background delivering cloud data platforms (e.g. Azure, Databricks, Snowflake or similar) Hands-on experience with data pipelines, transformation, and data modelling at scale Experience modernising legacy data estates into cloud-based platforms Strong technical ...

looking for Proven experience leading data platform, data engineering, or enterprise data delivery teams Strong background delivering cloud data platforms (e.g. Azure, Databricks, Snowflake or similar) Hands-on experience with data pipelines, transformation, and data modelling at scale Experience modernising legacy data estates into cloud-based platforms Strong technical credibility ...

tech listed below, preferably with Financial Services experience. Your professional experience + 10 years Cloud Engineering experience with AWS and GCP Snowflake Cloud Dev Ops Java Python CI/CD Pipeline Dev Kubernetes Terraform Software engineering for AWS DevOps tooling Deliverables: Responsibilities but not limited to: Perform software engineering activities ...