101 to 125 of 953 Snowflake Jobs

Apache Airflow or similar. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Nice to have: Hands-on experience with data warehouse and lakehouse architectures (e.g., Databricks, Snowflake, or similar). Experience with big data frameworks (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, or GCP). More ❯

mentor team members. QUALIFICATIONS 5+ years of experience in data engineering, ideally in high-scale or distributed environments. Proven expertise in data technologies such as Spark, Airflow, DBT, Kafka, Snowflake, and/or Databricks. Hands-on experience applying DevOps principles to data pipelines: CI/CD, version control, monitoring, and testing. Strong ability to design and implement data models for More ❯

query optimization. Experience with unstructured/graph databases . Proficient in Python and libraries like Pandas, Boto3. Solid understanding of data platform architecture and data governance principles. Familiarity with Snowflake , CI/CD , orchestration tools (e.g. AirFlow, Step Functions, Prefect) and data visualization tools . Agile mindset with hands-on experience in Scrum practices and tools like Jira . Strong More ❯

data modelling, profiling, and integration architecture. Experience with data warehouse development, SQL performance tuning, and managing metadata. Familiarity with Data Vault methodology and cloud platforms such as AWS, GCP, Snowflake, or Databricks. Support & Teamwork: Managing upgrades, deployments, and updates smoothly with stakeholders. Leading support incident triage and resolution on critical systems. Keeping an eye on team performance and making sure More ❯

first mindset and experience in agile environments (Scrum or Kanban). Professional working proficiency in English (our internal and client-facing working language). Nice to Have Experience with Snowflake or similar cloud data warehouses. Knowledge of data lineage tools and frameworks. Infrastructure automation using Terraform, Bash, or PowerShell. Exposure to data modeling techniques like Data Vault or dimensional modeling. More ❯

data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or More ❯

data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or More ❯

data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or More ❯

tools. Understanding of Agile methodologies. Additional Skills Experience mentoring or supporting team development. Knowledge of Azure SQL DB, Data Factory, Data Lake, Logic Apps, Data Bricks (Spark SQL), and Snowflake is advantageous. More ❯

analysis with libraries like Pandas and NumPy. Expertise in Data Engineering and Cloud Platforms : Experienced with frameworks such as Apache Airflow, Kafka, Spark, and cloud platforms like GCP, BigQuery, Snowflake, or Redshift. Infrastructure as Code (IaC) and Scalability : Knowledgeable in IaC principles, using Terraform or Kubernetes, and able to design scalable data architectures for real-time and batch processing. Analytical More ❯

analysis with libraries like Pandas and NumPy. Expertise in Data Engineering and Cloud Platforms : Experienced with frameworks such as Apache Airflow, Kafka, Spark, and cloud platforms like GCP, BigQuery, Snowflake, or Redshift. Infrastructure as Code (IaC) and Scalability : Knowledgeable in IaC principles, using Terraform or Kubernetes, and able to design scalable data architectures for real-time and batch processing. Analytical More ❯

experience working on mission critical data pipelines and ETL systems. 5+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Expertise with common Software Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages Experience with workflow orchestration tools such as Airflow Detailed More ❯

experience in data engineering or distributed systems Deep proficiency in Python and SQL Fluent in tools like Apache Spark , Beam , Flink , or Kafka Experience with cloud data warehouses (BigQuery, Snowflake) and orchestration tools (Airflow, Prefect, Dagster) Understanding of data lakehouse patterns (Iceberg, Delta Lake), vector stores , and graph databases Proven work with data quality, schema evolution, and observability at scale More ❯

experience in advanced data modelling and cloud data warehouses, with a proven track record of designing and implementing complex, performant data models in enterprise-grade cloud environments (e.g., BigQuery, Snowflake, Redshift), consistently optimising for scale and cost-efficiency. Demonstrate mastery of SQL and dbt, exhibiting expertise in advanced SQL techniques and extensive experience in developing, optimising, and troubleshooting data transformations More ❯

of-breed vendor tools. We deploy team members from on-shore, near-shore and off-shore teams, and often work alongside our major alliance partners, such as Microsoft, IBM, Snowflake, Moody's, Service Now and Pega to deploy solutions. Increasingly we collaborate with FinTech firms too. We are passionate about keeping pace with the latest emerging technology. We have recently More ❯

Explore our latest thought leadership, ideas, and insights on the issues that are shaping the future of business and society. Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future. Discover our portfolio More ❯

Mutual Respect, Empathy, Innovation and Professional Pride. Do you see yourself within these values? Founded in 2006 under the mission "To Challenge Complexity", Closer Consulting is a Data Science company specialized in Business Intelligence, Advanced Analytics and Artificial Intelligence. By More ❯

with 15% bonus Hybrid working – couple of days in the office City of London We are looking for: Good understanding of data engineering principles A good technical grasp of Snowflake and automating it, and transforming complex datasets SnowPro core certification. AWS Skillset Delivery experience Building solutions in snowflake Insurance experience – advantageous but not necessary Key Responsibilities: Lead the design and … implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new AWS native cloud data warehouse solutions Develop and optimize ETL processes using AWS services (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation, storage, and cost optimization. Deliver data to presentation layers … architecture, ensuring optimal health and efficiency. Skills and Experience: Bachelor’s degree or higher in a technical discipline Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL skills for complex data queries and More ❯

with 15% bonus Hybrid working – couple of days in the office City of London We are looking for: Good understanding of data engineering principles A good technical grasp of Snowflake and automating it, and transforming complex datasets SnowPro core certification. AWS Skillset Delivery experience Building solutions in snowflake Insurance experience – advantageous but not necessary Key Responsibilities: Lead the design and … implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new AWS native cloud data warehouse solutions Develop and optimize ETL processes using AWS services (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation, storage, and cost optimization. Deliver data to presentation layers … architecture, ensuring optimal health and efficiency. Skills and Experience: Bachelor’s degree or higher in a technical discipline Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL skills for complex data queries and More ❯

I'm looking for an experienced Data Engineer to join a global business who are embarking on a greenfield project to build a brand-new Snowflake Data Warehouse. They are building a modern, AI-ready data platform, which allows for better decision-making for both themselves and their customers, with a tech stack including Snowflake, dbt, Microsoft Azure and Power … thinking and entrepreneurial environment. The purpose of this role is to build and maintain the data architecture that supports various business intelligence initiatives. This will include designing and managing Snowflake data pipelines, ensuring data flows seamlessly from multiple sources into the new data platform, and working with Data Analysts to support their data needs and optimise semantic models for Snowflake … based reporting and analytics. More generally, you'll implement governance policies and ensure data security across the Snowflake platform, and will also maintain the performance of systems to ensure scalability and reliability. This role would be well-suited to an experienced Data Engineer or Developer who is excited by the prospect of building something from the ground-up using cutting More ❯

A large Financial Services company are looking for a Data Engineer with Snowflake experience to join their growing Data Engineering team in London - this is a permanent role with hybrid working arrangements, with 2 days per week in the office in average. In this role you will be working within a new, greenfield division of the business, using a brand … new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on delivering end-to-end solutions and, as a more Senior member of the team, you will mentor Junior colleagues, take ownership of projects, and … a start-up mentality with a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake Extensive experience with dbt, Airflow, AWS and Terraform Exellent scripting skills in SQL Experience developing solutions entirely from scratch Great communication skills, with the ability to understand and translate complex More ❯

next couple of years. Join us - and help us fulfil our mission to close the world's digital skills gap. Role: You will serve as AND Digital's top Snowflake authority and hands-on technical leader. In this role, you'll shape the architectural vision for Snowflake solutions, define best practices, and mentor engineering teams to deliver innovative, high-value … outcomes for our clients. Key Responsibilities: Technical Leadership: Set the technical standards and strategies for Snowflake implementations, ensuring high-quality delivery. Solution Design: Collaborate with cross-functional teams to architect and implement advanced Snowflake solutions that meet diverse client needs. Innovation & R&D: Evaluate Snowflake's evolving features and emerging cloud data technologies, identifying opportunities to introduce new services and … accelerators. Mentorship: Provide guidance and training to junior and mid-level engineers, fostering a collaborative learning environment. Advanced Support: Tackle complex Snowflake challenges and optimise performance, guaranteeing robust, scalable solutions. Documentation & Reusability: Develop technical documentation, code libraries, and accelerators that streamline future project delivery. Client Collaboration: Act as a trusted advisor during sales pursuits, project kickoffs, and governance meetings, articulating More ❯

client are a start-up data consultancy looking to expand their data engineering practice to facilitate the service of their growing client base. This role will require proficiency in Snowflake, Python, DBT, AWS, and SQL. Consultancy experience would be a huge plus. Salary and Benefits Competitive salary of £55k - £65k (DOE) Fully remote working 25 days annual leave And many … more! Role and Responsibilities Design and deliver data pipelines using SQL, dbt, and Python within Snowflake to transform and model data for a variety of use cases. Build robust, testable, and maintainable code that integrates data from diverse sources and formats. Work closely with analytics, product, and client teams to turn data requirements into scalable solutions. Support the development of … standards, development processes, and client delivery playbooks. Participate in sprint planning, reviews, and retrospectives with a lean agile delivery mindset. What do I need to apply Strong experience with Snowflake Experience with Python, DBT, AWS, SQL. Strong stakeholder engagement. Experience with integrating API's Data science background or some exposure. My client have limited interview slots and they are looking More ❯

The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate … a Hedge Fund, Investment Bank, FinTech or similar Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing More ❯

Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or … delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and … delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Good understanding of MLOPS Good More ❯