26 to 50 of 138 Permanent Snowflake Jobs

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 ...

finance, defence). Energy/utilities experience (gas, water, power, electricity) would be highly desirable. Broad knowledge of modern data platforms (AWS, Azure, GCP, Snowflake, Databricks). Experience working within SAP environments/modules (e.g. S/4 HANA, RISE) would be advantageous. Strong data modelling expertise. Comfortable working through ...

make sure our data function not only delivers but also drives strategic decision-making. Our Tech Stack Python, Docker, Dagster, dbt, Fivetran, Apache Iceberg, Snowflake, S3, Glue, ECS, and Omni. We’re constantly evolving our stack and welcome input from engineering leaders on how we can improve scalability, reliability ...

analytics, reporting, and GenAI-driven insights. Actively contribute to the development of scalable data solutions using dbt, Apache Airflow, FiveTran/AWS Glue and Snowflake, optimizing for reliability, observability, and performance. Champion data quality by ensuring completeness, accuracy, timeliness, and lineage across ingestion, transformation, and delivery. Partner with analytics … experience as a hands-on data engineer or architect capable of designing, coding, and reviewing complex data solutions. Expertise in modern data stacks including Snowflake, dbt, Airflow, AWS, GCP, or Azure, and integration tools such as FiveTran or Glue. Strong track record in data modeling, ETL or ELT orchestration ...

outputs). Nice to have (but not required): Background working with marketing, recruitment, commercial, or customer-facing teams. Experience with data warehouses like BigQuery, Snowflake, Azure or similar. Exposure to Looker, Tableau, or BI migration projects. Why this role is great High autonomy - you'll be the go-to operational ...

with AWS as a cloud platform Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.) , data storage (e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation ) Software development experience with one or more languages (e.g. Python, Java, Scala, Go ) Pragmatic approach to solving ...

commercial impact. Understanding of ML Ops vs DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient ...

improve the culture around data Great interpersonal skills and collaborative mindset Hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS This role will be hands-on and you will be responsible for implementing process and reporting around governance, as such, proficiency ...

improve the culture around data Great interpersonal skills and collaborative mindset Hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS This role will be hands-on and you will be responsible for implementing process and reporting around governance, as such, proficiency ...

Deliverhigh-qualitydatasetstoanalyticsandbusinessteams SupportAIandadvancedanalyticsinitiatives Requirements DegreeinIT,ComputerScience,SoftwareEngineering,orrelatedfield(minimum 2:1classification ) Strong SQL&Python Hands-onETL/ELTexperience(e.g.,Matillion,Talend,Fivetran,ADF) Experiencewith Snowflake (AWS/Azure/GCPbeneficial) Strongdatamodellingknowledge Understandingofdatagovernanceandsecuritybestpractices Abilitytotranslatebusinessneedsintoscalablesolutions Desirable Airflow,dbt,Kafka,CI/CD,BItools,governanceplatforms,financialservicesexperience. Interestedinbuildingmodern,enterprise-scaledataplatformsinahighlyregulatedenvironment Applynow ...

Tech Environment You don't need everything listed, but strong experience in several is expected: Cloud: GCP, AWS OR Azure Data warehouse: BigQuery/Snowflake Backend: Node.js with TypeScript/JavaScript Data visualisation: BI tools (e.g. Looker, Tableau, Power BI) and/or custom dashboards AI: experience building or leading ...

platforms. Strong expertise across AWS, Azure, and GCP data services. Deep knowledge of data modelling (conceptual, logical, physical) and domain-driven design. Experience with Snowflake, Databricks, BigQuery, Redshift, Synapse or similar platforms. Strong understanding of data governance, security, GDPR, and regulatory frameworks. Certifications – TOGAF/SAFe/Agile Why Join ...

programming skills in Python and strong SQL capability. Exposure to orchestration tools such as Airflow or Dagster. Experience with modern data warehouses such as Snowflake, Redshift or BigQuery. Infrastructure-as-code experience, ideally Terraform or Pulumi. BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between ...

programming skills in Python and strong SQL capability. Exposure to orchestration tools such as Airflow or Dagster. Experience with modern data warehouses such as Snowflake, Redshift or BigQuery. Infrastructure-as-code experience, ideally Terraform or Pulumi. BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between ...

programming skills in Python and strong SQL capability. Exposure to orchestration tools such as Airflow or Dagster. Experience with modern data warehouses such as Snowflake, Redshift or BigQuery. Infrastructure-as-code experience, ideally Terraform or Pulumi. BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between ...

programming skills in Python and strong SQL capability. Exposure to orchestration tools such as Airflow or Dagster. Experience with modern data warehouses such as Snowflake, Redshift or BigQuery. Infrastructure-as-code experience, ideally Terraform or Pulumi. BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between ...

with data pipelines or distributed systems Experience in data, analytics engineering, platform engineering or technical consultancy Experience with modern data tooling such as Databricks, Snowflake, DBT, and Airflow. Why now? The company is scaling rapidly across industries. Join now and you’ll: Shape how the platform evolves Learn directly from ...

Your Skills and Experience You will bring: Strong commercial experience in Python and SQL. Expertise in GCP and a modern data warehouse such as Snowflake, Redshift, or BigQuery. Experience building and maintaining ETL pipelines and data models. Knowledge of orchestration tools such as Airflow or Dagster. Infrastructure-as-code experience ...

startup environment where priorities evolve and things aren’t always fully specified Nice to Have (Not Essential) Experience with modern data platforms (e.g. Databricks, Snowflake, dbt, Airflow, Foundry) Some exposure to backend development or API design TypeScript experience Familiarity with enterprise systems (ERP, CRM, etc.) Exposure to AI-enabled systems ...

analytics and automation• Experience with dbt modelling and best practice data transformation• Exposure to modern BI tools such as Looker• Experience working with Snowflake• Familiarity with AWS or Azure environmentsProfile• Self motivated and highly autonomous• Analytical, sharp and commercially minded• Comfortable with ambiguity and able to independently drive initiatives• Strong ...

following skills and experience would also be an asset: • Gen-AI/LLMs: e.g. Open-AI, Gemini • Data Platform tools: e.g. Databricks, Microsoft Fabric, Snowflake, Synapse, Apache Spark • BI tools: e.g. Tableau, Power BI • DevOps tools: e.g. CI/CD, Docker, Kubernetes, Terraform, GitHub Enterprise, Azure DevOps • Experience in modern … Architect Azure CI/CD Cloud Databricks DevOps Docker Excel Fabric GitHub Java Kubernetes Machine Learning NoSQL Power BI Python SQL Scala Security Snowflake Spark Tableau Terraform More: zeroG: Solution Architect - Data & Analytics What work will you do? Were looking for an experienced Solution Architect to join our family ...

Setting engineering standards and supporting the development of junior team members The successful candidate will have: Strong experience with cloud technologies (Azure, AWS, or Snowflake) Hands-on expertise with Databricks is a bonus Proven experience designing and maintaining modern data architectures Strong SQL and Python skills A proactive mindset ...

analysts Desirable: Experience in education, partnerships, or complex commercial environments Exposure to CRM reporting (e.g. Salesforce) Experience with cloud-based data platforms (e.g. Azure, Snowflake, BigQuery) What Will Make You Stand Out Proven track record of influencing strategic decisions through insight Experience leading BI migration or reporting modernisation initiatives Strong ...

data environments Data lakes, warehouses, and distributed data systems Data ingestion, orchestration, and integration tooling Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting ...

moving commercial environments Strong academic background in a quantitative discipline Experience working directly with non-technical stakeholders Clear and confident communication skills Desirable: DBT Snowflake or BigQuery Jupyter notebooks Git/version control Exposure to AI-assisted analytics or automation tools What Makes You Stand Out: You take ownership ...