151 to 175 of 763 Remote Snowflake Jobs

Job Title: Snowflake Data Architect Job Location: Hove, UK/Hybrid Is it Permanent/Contract: Permanent Job Description Who we are? We are a leading global IT Services company, dedicated to driving digital transformation and innovation for businesses around the world. Founded in 1990, Client has grown into a global trusted partner for enterprises, offering comprehensive AI empowered services … and implement the end-end architecture of Data warehouse on Snowflake. Create and maintain conceptual, Logical and Physical Data Models in Snowflake. Design Data Pipelines and ingestion frameworks using Snowflake native tools. Work with Data Governance teams to establish Data lineage, Data quality and access control mechanisms. Engage with Data stewards and other stake holders to build a comprehensive & scalable More ❯

Job Title: Snowflake Data Architect Job Location: Hove, UK/Hybrid Is it Permanent/Contract: Permanent Job Description Who we are? We are a leading global IT Services company, dedicated to driving digital transformation and innovation for businesses around the world. Founded in 1990, Client has grown into a global trusted partner for enterprises, offering comprehensive AI empowered services … and implement the end-end architecture of Data warehouse on Snowflake. Create and maintain conceptual, Logical and Physical Data Models in Snowflake. Design Data Pipelines and ingestion frameworks using Snowflake native tools. Work with Data Governance teams to establish Data lineage, Data quality and access control mechanisms. Engage with Data stewards and other stake holders to build a comprehensive & scalable More ❯

Data Engineer - Snowflake & Kafka Portugal or Spain (Remote) Full-time Permanent ️ Fluent English required A leading technology consultancy is hiring a Data Engineer with strong expertise in Apache Kafka and Snowflake . You'll join a fast-growing, remote-first team delivering cutting-edge data solutions to global clients in finance, retail, and other industries. This is a permanent role … long-term career growth. What You'll Be Doing Design and manage real-time data pipelines using Apache Kafka Develop scalable ETL/ELT processes for ingesting data into Snowflake Collaborate with cross-functional teams, including analysts, data scientists, and DevOps Apply modern engineering best practices, including CI/CD and version control Provide guidance and mentorship to junior engineers … What We're Looking For 5+ years of experience as a Data Engineer Expertise in Kafka Streams , Kafka Connect , or Confluent Kafka Hands-on experience with Snowflake (schema design, optimisation) Strong SQL skills and/or programming knowledge in Python, Java, Scala, or .NET Experience with Git-based CI/CD tools (e.g. GitLab CI/CD, Jenkins, Azure DevOps More ❯

Analytics Data Engineers to support a major Data Transformation programme. In this permanent role, you'll help design and deliver scalable data products that enable self-service analytics using Snowflake, Power BI, Python, and SQL. What You’ll Do: Build robust ETL/ELT pipelines and dimensional models for analytics Enforce data quality, security, and governance in a Data Mesh … We’re Looking For: Strong skills in SQL and Power BI. Python is beneficial Solid experience with data modelling and ETL pipelines Knowledge of cloud environments – Azure Experience with Snowflake and Databricks Familiarity with data governance in decentralised environments Excellent communication and stakeholder engagement skills A proactive, problem-solving approach Interested? Apply with your latest CV to find out more. 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 ❯

Data Engineer to join our Analytics team, the successful Data Engineer with be able to demonstrate a strong business acumen. The ideal candidate will ideally worked with ETL processes, Snowflake, and Tableau, and will be instrumental in bridging the gap between data engineering and business strategy. Client Details We are a global electronics and manufacturing company that operates in … efficient, automated processes for model development, validation, implementation and documentation. Profile The successful Data Engineer should have: Proficiency in Big Data Modelling, ETL and Data warehousing. Proficient in SQL Snowflake Tableau Understanding of cloud services providers. Excellent problem-solving abilities and communication skills. An understanding of Python and Java would be advantageous but not essential. Job Offer An attractive salary 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 ❯

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 ❯

join a growing data team at the early stages of its evolution, where you’ll have real ownership, shape foundational data assets, and work with cutting-edge technologies like Snowflake, DBT, Microsoft Azure, and Power BI and next-gen BI platforms. Responsibilities Design and maintain clean, modular data models in Snowflake, applying analytics engineering best practices using DBT. Build curated … Proven experience in analytics engineering or advanced BI/data roles with a strong focus on data modelling and transformation Proficiency in SQL and cloud data platforms such as Snowflake or Azure Synapse Analytics Hands-on experience with DBT for developing, testing, and documenting transformations Understanding of modern data stack principles, including layered modelling, modular SQL, and Git-based workflows 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 ❯

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 ❯

exciting opportunity has arisen at Brother’s European headquarters in Manchester for a Data Engineer to join our OneIT department. The ideal candidate will have experience with ETL processes, Snowflake, and Tableau, and will be instrumental in bridging the gap between data engineering and business strategy. Main Tasks Data Pipeline Development: Design, develop, and maintain robust ETL processes to ensure … efficient data flow from various sources into our data warehouse. Data Warehouse Management: Oversee the architecture and management of our Snowflake data warehouse, ensuring data is stored securely, efficiently, and is easily accessible. Data Quality Assurance: Implement processes to ensure data accuracy, consistency, and reliability across all platforms. Collaboration: Work closely with another BI Report team to help different business … skills, with the ability to convey complex technical concepts to non-technical stakeholders. Continuous Learning: Demonstrated commitment to continuous learning and professional development Preferred Qualifications: Experience with cloud platforms (Snowflake, Azure). Experience with Tableau as a BI tool. Knowledge of data governance and security best practices. Why work for Brother? When you join Brother, you join a company steeped More ❯

working across both technical and business domains. ✅ Key technical skills: Strong SQL and ELT/data pipeline development experience Expertise in Data Warehouse & Data Lake design (including Star Schema, Snowflake Schema, Data Vault) Hands-on experience with enterprise databases: Oracle, Snowflake, Teradata, or SQL Server Solid understanding of AWS (S3, Lambda, IAM, etc.) Proficiency in Python (especially working with Boto3 More ❯

working across both technical and business domains. ✅ Key technical skills: Strong SQL and ELT/data pipeline development experience Expertise in Data Warehouse & Data Lake design (including Star Schema, Snowflake Schema, Data Vault) Hands-on experience with enterprise databases: Oracle, Snowflake, Teradata, or SQL Server Solid understanding of AWS (S3, Lambda, IAM, etc.) Proficiency in Python (especially working with Boto3 More ❯

Data Platform by designing and building the next generation of the stack. Develop, run and support our batch and real-time data pipelines using tools like Airflow, PlanetScale, Kinesis, Snowflake, Tableau, all in AWS. Collaborate with product managers, data engineers, analysts and data scientists to develop tooling and infrastructure to support their needs. Develop automation and tooling to support the … to monitor our infrastructure, detect and surface data quality issues. Recent projects the team has delivered: Refactoring of our MySQL Ingestion pipeline for reduced latency and 10x scalability. Redshift -> Snowflake migration Unified Local Analytics Development Environment for Airflow and DBT Building our next generation company metrics framework, adding anomaly detection and alerting, and enabling easier discovery and consumption. About you … data workflows. A good understanding of the quirks of operating Airflow at scale would be helpful. Experience or understanding of tools and technologies included in the modern data stack ( Snowflake , DBT ) Industry awareness of up-and-coming technologies and vendors. Benefits We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not More ❯

architecture (bronze/silver/gold). Create reusable, governed data models to support analytics tools like Looker. Ensure data quality with automated testing, validation, and monitoring frameworks. Optimise Snowflake for performance, scalability, and cost efficiency. Collaborate with stakeholders to translate analytical needs into reliable datasets. Maintain documentation and support data standards, governance, and compliance (e.g., GDPR). Contribute to … training initiatives. Work in agile delivery teams to align data initiatives with business outcomes. What are we looking for? 5+ years in Data or Analytics Engineering Strong experience with Snowflake, Matillion, and Looker Skilled in data modelling, ELT pipelines, and SQL Knowledge of data warehousing, MDM, and cloud platforms (AWS/Azure/GCP) Experience with CI/CD, data More ❯

play a key part in designing, building, and optimising scalable data pipelines, ensuring high-quality, actionable data is readily available to drive decision-making. Working with modern tools like Snowflake and dbt, you’ll build and maintain our data infrastructure and collaborate with cross-functional teams, including analysts and stakeholders, to support reporting and insights. You’ll also have the … organisation. Key Responsibilities Design, develop, and maintain scalable and reliable ETL pipelines to extract, transform, and load data from a variety of sources. Build and optimise data models using Snowflake and dbt to ensure accuracy, integrity, and accessibility across the organisation. Write and optimise complex SQL queries for data transformation, reporting, and analysis. Collaborate with analysts and stakeholders to understand More ❯

and is eager to make a significant impact. In this role, you will: Develop and maintain data pipelines that collect, process, and transform data from various sources into our Snowflake data warehouse Be an advanced user of Python (and pandas) for data processing and transformation tasks Utilise dbt to orchestrate data transformations and manage data models Optimise and manage ETL … start-up and corporate environments Are highly proficient in Python, particularly with data processing libraries such as Pandas Have strong SQL skills and experience working with data warehouses like Snowflake and databases like PostgreSQL Are familiar with ETL tools like Fivetran and have experience building custom ETL solutions Have experience with data orchestration tools like dbt Have worked with BI More ❯

skills to interact with team members, stakeholders and end users conveying technical concepts in a comprehensible manner Skills across the following data competencies: SQL (AWS Athena/Hive/Snowflake) Hadoop/EMR/Spark/Scala Data structures (tables, views, stored procedures) Data Modelling - star/snowflake Schemas, efficient storage, normalisation Data Transformation DevOps - data pipelines Controls - selection and More ❯

our product integrates and interacts with external systems, partners, and platforms. Our Tech Stack: Apache Airflow Python Django AWS (S3, RDS withPostgresql, ElastiCache, MSK, EC2, ECS, Fargate, Lamda etc.) Snowflake Terraform CircleCI Your mission Design and develop data pipelines, orchestrating key activities such as data ingestion, extraction andtransformation, task automation and serving of data to applications and dashboards. Work on … This includes reviewing and validating data from various sources, such as spreadsheets, to ensure accuracy and consistency. Contribute to the development and maintenance of our data warehouse solution on Snowflake Collaborate with our product managerand stakeholders to collect and refine data requirements. Optimise data storage, infrastructure performance and cost Practice and promote excellent data and cloud engineering best practices Work More ❯

working with financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g., Apache Airflow, dbt, Snowflake). Excellent communication and stakeholder management skills. Must be available to work onsite in London 3 days per week. What's on Offer Competitive salary up to £110,000 (depending More ❯

working with financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g., Apache Airflow, dbt, Snowflake). Excellent communication and stakeholder management skills. Must be available to work onsite in London 3 days per week. What's on Offer Competitive salary up to £110,000 (depending More ❯

working with financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g., Apache Airflow, dbt, Snowflake). Excellent communication and stakeholder management skills. Must be available to work onsite in London 3 days per week. What's on Offer Competitive salary up to £110,000 (depending More ❯

pipelines and DevOps practices. Proficiency in Python and Java . Familiarity with web development best practices and design patterns. Knowledge of cloud platforms (preferably Azure) and cloud data warehouses (Snowflake is a plus). Understanding of microservices architecture and modern data analytics stacks. Bachelor’s degree in Computer Science, Software Engineering, or a related field. 5+ years of experience in More ❯

driven architectures (Kafka, Confluent). Expertise in architecting data lakes/lakehouses with platforms such as Databricks and Unity Catalog. Proficiency in cloud-based data architecture (AWS, Azure, GCP, Snowflake). Understanding of Data Mesh, Data Fabric, and product-led data strategies. Technical Knowledge: Familiarity with big data technologies (Apache Spark, Hadoop). Knowledge of programming languages such as Python More ❯