51 to 75 of 817 Snowflake Jobs

data quality frameworks. Experience working with AI and machine learning within data platforms, alongside an understanding of AI governance. Familiarity with platforms such as Snowflake or Microsoft Fabric. Experience delivering analytics and reporting solutions using tools such as Power BI, Tableau or Looker. Strong stakeholder management skills with the ability ...

ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Python, Power BI, Cloud (Azure, AWS, GCP, Snowflake, Databricks). Project lifecycle experience, having played a leading role in the delivery of end-to-end projects, as well as a familiarity with different ...

improvement of both the platform and the team.**Your Skills:*** Experience in cloud-based data engineering using Azure, AWS, or GCP, preferably with Databricks, Snowflake, or Microsoft Fabric.* Strong SQL skills and experience with Python, along with a keen interest in modern data platforms and architectures.* Good understanding of data ...

Data Engineer within complex technical environments. Strong knowledge of data management principles, including data modelling, integration, quality, and governance. Strong commercial experience with Snowflake and Databricks essential. Experience assessing existing data management systems and recommending improvements. Experience with modern data architectures, including cloud-based and distributed systems. Strong proficiency ...

data engineering, analytics engineering, or BI development role. Strong hands‐on experience with Databricks or an equivalent enterprise data platform (Azure Synapse, Microsoft Fabric, Snowflake). Proficiency in SQL and experience building and optimising semantic or data models at scale, including window functions and complex business logic. Solid understanding ...

Strong experience with cloud platforms: Microsoft Azure, AWS, Google Cloud Platform (preferred)* Experience with modern data technologies: Azure Data Factory, Azure Synapse Analytics, Databricks, Snowflake, Microsoft Fabric (preferred)* Strong SQL and database expertise across relational and non-relational platforms.* Experience designing Data Lakes, Lakehouse architectures, and Enterprise Data Warehouses.* Knowledge ...

similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch ...

similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch ...

similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch ...

similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch ...

Business Intelligence across different types of data formats (structured vs unstructured) and processing methods (streaming vs batch) Familiarity with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.), cloud platforms (AWS, Azure, GCP) and engineering tools (Pandas, Spark, dbt, LangChain, etc.) Exposure to modern software development practices, including version control ...

cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS.## **The Role You Are Considering**As a Data Engineer, you will be an integral part of our team dedicated to building scalable ...

bring together internal and external data sources within our cloud data platform. Develop the architecture and migration approach for moving legacy data into Snowflake, whilst supporting appropriate data lake and transformed data layers. Embed security, quality, performance and scalability into the design of our data environments, ensuring they ...

solutions. Hands‐on experience with modern enterprise data and AI platforms, such as Databricks, Palantir Foundry, Microsoft Fabric, Azure AI, Azure OpenAI, Snowflake, Dataiku or equivalent. Practical knowledge of Generative AI, Large Language Models, Retrieval Augmented Generation, Agentic AI, multi‐agent systems, machine learning or predictive analytics. Experience with ...

translate business needs into technical solutions and troubleshoot complex issues Proficiency in SQL, Python, PySpark Knowledge and experience with Databricks and/or Snowflake Strong knowledge of Azure; experience with AWS or GCP is a plus Excellent verbal and written communication skills in Dutch and English Agile team experience (Scrum ...

stakeholders. Self-sufficient, with excellent problem-solving and communication skills. Advantageous : Experience with Logic Apps and integration tools. Familiarity with data frameworks (e.g., Snowflake, BigQuery, Redshift). Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure Code (e.g., Bicep, Terraform). Exposure to machine learning and AI solutions. Understanding ...

data modeling, infrastructure, and analytics.Experience working with data pipelines, ELT workflows, and contemporary cloud data architectures.Experience with current cloud data platforms such as Snowflake, Azure Data Lake, Azure SQL, dbt, Airflow, or similar tools.Ability to understand and work with SQL queries and data models.Knowledge of data governance, privacy, security, regulatory ...

reporting. Technical Skills Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin). Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka ...

migrations Expert‐level SQL/T‐SQL with proven experience refactoring and optimising complex logic Hands‐on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/CD pipelines ...

engineering tools such as Azure Data Factory, Databricks, Apache Spark, dbt or Airflow Experience with cloud data platforms such as Azure Synapse Analytics or Snowflake Experience using Git for version control Experience integrating REST APIs and working with event-driven architectures Knowledge of Kafka or other streaming technologies Understanding ...

Experience cleaning, standardising, and maintaining high-quality datasets.* Familiarity with modern data modelling tools such as dbt.* Experience working with enterprise data warehouses, including Snowflake, BigQuery, or Synapse.About You:Skills:* Data development process. Ability to design, develop and test data products that are complex or on a large-scale. Ability ...

Cloud Data Engineering, Analytics and ML. Required Skills & Experience 10+ years in data engineering, data warehousing, analytics or similar roles. Strong expertise in Snowflake architecture and AWS cloud services (incl API interfaces). Experience leading and mentoring engineering teams, particularly distributed or remote teams. Strong proficiency in programming languages like ...

Engineer with 8–15 years of experience in designing, developing, and implementing enterprise-scale data solutions. The ideal candidate will possess strong expertise in Snowflake and hands‐on experience with Python, PySpark, AWS, and Airflow for building scalable, high-performance data platforms. The role demands strong technical leadership, problem‐solving ...

Experience leading data engineering projects or workstreams. Strong experience with cloud platforms and cloud data services . Experience with modern data platforms such as Snowflake and/or Microsoft Fabric . Strong data modelling experience across dimensional, relational and/or data vault approaches. Experience with Power BI, Tableau ...

governance, metadata, catalogs, and data lineage tools Understanding of data privacy, security, and responsible AI principles Experience with orchestration/integration tools (Airflow, Databricks, Snowflake, Azure Data Factory, Kafka) Knowledge of AI ecosystems (M365 Copilot, Copilot Studio, Azure AI Foundry, AWS Bedrock) Systems thinker Pragmatic problem solver Excellent communicator with ...