101 to 125 of 409 Snowflake Jobs in the UK

understand the data landscape. Explore new data sources and technologies to enhance the team’s capabilities. Why This Role Stands Out Work with a cutting-edge modern data stack: Snowflake, dbt, Airflow, and Azure. Be part of a small team, where due to the size you will have huge ownership Opportunity to work on varied datasets and apply your web More ❯

pressures Able to follow best practices and adapt, even without established iteration management Desirable DBT Previous experience of working with D365 data API Integration (OData ideally) Basic accounting knowledge Snowflake This assignment is signed off and approved with the hope of getting someone started ASAP and before Christmas. Day rate is dependent on experience and expected to be in the More ❯

ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) Power BI Development including the data model, DAX, and visualizations If you are interested in this Data anlyst More ❯

data projects, collaborating with cross-functional teams. Communicate findings and insights clearly to both technical and non-technical audiences. Technical Skills & Knowledge Strong experience with SQL (SQL Server essential; Snowflake desirable). Proficiency with data visualisation tools such as Tableau or Power BI. Familiarity with the Microsoft Power Platform is advantageous. Good working knowledge of Microsoft Office 365. (Desirable) Understanding More ❯

complex technical projects. Solid understanding of financial products and risk concepts. Technical & Professional Requirements Hands-on experience with Java and Oracle (current stack), and exposure to AWS, Python, and Snowflake (future stack). Proven ability to manage and mentor engineering teams. Strong background in risk technology or related domains (such as P&L or analytics). Compensation & Working Arrangements Base More ❯

complex technical projects. Solid understanding of financial products and risk concepts. Technical & Professional Requirements Hands-on experience with Java and Oracle (current stack), and exposure to AWS, Python, and Snowflake (future stack). Proven ability to manage and mentor engineering teams. Strong background in risk technology or related domains (such as P&L or analytics). Compensation & Working Arrangements Base More ❯

CD, path to production Worked 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 problems Nice to have: keen More ❯

stakeholders across diverse functions. You'll be collaborative, proactive, and passionate about solving problems and driving innovation. Essential Skills & Experience: * 4+ years in data architecture, warehousing, and cloud platforms (Snowflake, Azure, Databricks)* Hands-on experience with Microsoft Power Platform, Power Automate, and Copilot Studio* Strong Power BI and SQL skills* Proven experience implementing automation at scale* Agile delivery experience* Desirable More ❯

know them all. Bring curiosity, creativity, and a willingness to learn as much as technical expertise. Nice-to-haves (but not must-haves): Experience with cloud databases (GCP, AWS, Snowflake). Knowledge of data pipelines or testing tools. Exposure to machine learning, forecasting, or statistical techniques. (Don’t worry if you don’t tick every box – if you have the More ❯

know them all. Bring curiosity, creativity, and a willingness to learn as much as technical expertise. Nice-to-haves (but not must-haves): Experience with cloud databases (GCP, AWS, Snowflake). Knowledge of data pipelines or testing tools. Exposure to machine learning, forecasting, or statistical techniques. (Don’t worry if you don’t tick every box – if you have the More ❯

delivery Strong experience with data modeling tools such as Erwin, ER/Studio, SqlDBM or SQL DB-native modelling tools. Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, GCP BigQuery) and modern data storage solutions. Strong SQL skills and good knowledge of data warehousing, lakehouses, and OLTP/OLAP systems. Demonstratable interest and awareness in emerging technologies What More ❯

enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of Version More ❯

with proven delivery in project and BAU environments. Strong knowledge of data platforms and architectures (cloud and on-premise), with ability to evaluate and recommend solutions (Azure, AWS, GCP, Snowflake, Databricks, SQL Server). Expertise in data modelling (conceptual, logical, physical), integration design, and lifecycle management. Experience of data risk and control frameworks, including data security and access control. Experience More ❯

metrics. Strong analytical and problem-solving skills, with the ability to convert data into actionable insights. Proficiency in data visualization tools such as Power BI , or similar. Experience with Snowflake and GCP (BigQuery) or other cloud-based data warehousing technologies is highly desirable. Familiarity with Python is a plus. Working knowledge of Lead Scoring criteria, build and implementation is a More ❯

and consumer facing platforms Technical proficiency: Required - Reporting/visualisation tools (Power BI/Tableau, etc.). Nice to have - SQL, Python, R and modern cloud data environments (e.g., Snowflake, Databricks). WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as More ❯

evolving their lakehouse/warehouse layers & enable fast, trustworthy analytics for multiple teams. Tech you'll be working with: AWS - including S3, Redshift, Athena & Glue Python GCP BigQuery BigQuery, Snowflake, Redshift, Airflow, dbt SQL Contract Details: Data Engineer 6 Months - extensions likely Fully Remote (UK) £(Apply online only)/day Outside IR35 ASAP Start - 1 stage Interviews If you're More ❯

. Collaborate effectively with stakeholders, ensuring clear communication throughout project lifecycles. Skills, Experience, and Abilities Required: Essential: Expert-level experience with Azure Data Factory (ADF) Hands-on experience with Snowflake and Databricks Proficiency in Python programming Strong Azure and SQL knowledge Excellent debugging and troubleshooting abilities Good communication skills Desirable: 6 to 8 years of relevant experience in data engineering More ❯

make decisions on. You will be: Proven within Power BI, Power Apps, Power Automate. Well versed in data visualisation and BI best practice. Expert in SQL. Experience within Databricks, Snowflake, or Google BigQuery. Proven record of managing automation and workflow tools and embedding them in operational processes. Experience leading teams. Experience of developing internal key stakeholder relationships. On offer a More ❯

make decisions on. You will be: Proven within Power BI, Power Apps, Power Automate. Well versed in data visualisation and BI best practice. Expert in SQL. Experience within Databricks, Snowflake, or Google BigQuery. Proven record of managing automation and workflow tools and embedding them in operational processes. Experience leading teams. Experience of developing internal key stakeholder relationships. On offer a More ❯

infrastructure. You’ll work in a modern, cloud-first environment with real autonomy — designing and building data pipelines, improving infrastructure, and driving innovation across the data platform. Tech Stack: 🔹 Snowflake 🔹 Python (FastAPI, Pydantic) 🔹 Airflow/Dagster 🔹 AWS + Terraform 🔹 CI/CD (GitHub Actions) (Bonus: Kafka, dbt/SQLMesh, data quality & governance tools) What’s on Offer: 💰 Up to More ❯

either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack Engineer They offer a great package on More ❯

either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack Engineer They offer a great package on More ❯

observer ability toolsets inc. Splunk, Datadog Experience using Github Actions Experience using AWS RDS/SQL based solutions Experience using containerization in AWS Working data warehouse knowledge Redshift and Snowflake preferred Working with IaC – Terraform and Cloud Formation Working understanding of scripting languages including Python and Shell Experience working with streaming technologies inc. Kafka, Apache Flink Experience working with a More ❯

observer ability toolsets inc. Splunk, Datadog Experience using Github Actions Experience using AWS RDS/SQL based solutions Experience using containerization in AWS Working data warehouse knowledge Redshift and Snowflake preferred Working with IaC – Terraform and Cloud Formation Working understanding of scripting languages including Python and Shell Experience working with streaming technologies inc. Kafka, Apache Flink Experience working with a More ❯

skills, with the ability to influence senior stakeholders and translate complex data into clear, actionable recommendations. Familiarity with modern data tools and environments (e.g., Power BI, Tableau, SQL, Python, Snowflake, etc.). More ❯