76 to 100 of 265 Snowflake Jobs in the UK

with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL). Knowledge of event-driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public cloud environments more »

permanent. Looking for: 3+ years of professional data engineering experience. Proficiency in Python and Java 11+. Familiarity with modern data technologies such as Dremio, Snowflake, Iceberg, (Py)Spark/Glue/EMR, dbt, and Airflow/Dagster. Hands-on experience with AWS. Ability to work effectively with both business and more »

languages or toolsets: AutoSys, Azure Function App, Azure GIT, Azure Portal, C#, Databricks, GraphQL/Graph API, Informatica CDI, Informatica Power Center, Java, Javascript, Snowflake, PowerBI, PyRecs, Python, Selenium, Spark, and SQL Nice to have skills Ability to propose and estimate the financial impact of architectural alternatives Existing knowledge of more »

experience with BI tools such as Looker is highly advantageous Experience working with cloud data warehouses, ideally with AWS/Redshift, Azure, GCP, or Snowflake Experience with dbt is highly advantageous Responsibilities Analyze, organize, and prepare raw data for modeling and data analytics Architect and assist in building data systems more »

General knowledge of relational databases (e.g., SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, Couchbase). Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Excellent scripting skills (e.g., Python, SQL). Strong analytical and problem-solving skills. Excellent communication and interpersonal skills, with the ability to more »

Analytics. Experience of working with large, complex data warehouses and/or data lakes. Familiarity with cloud-based analytics platforms such as AWS, Azure, Snowflake, Google Cloud Platform (Big Query), Spark, and Splunk. Proficiency in SQL and experience using one or more of the following languages: R, Python, Scala, and more »

Advanced knowledge of data visualization tools and dashboard design experience essential (Tableau preferred) Experience in the use of large databases and data warehouses required (Snowflake preferred) Experience with transitioning and deploying data science and quantitative models to Production environment required along with exposure to Agile development process -- ability to articulate more »

for efficiency and alignment with goals. Set Technical Direction: Define the systems and tools' technical direction, advancing towards ML and AI integration. Required Experience: Snowflake: Proficiency in setup, configuration, and optimisation. DBT (Data Build Tool): Strong skills in managing transformations and data pipelines. Python: Expertise in scripting, automation, and data more »

solutions including the choice of data sources and ETL approach Familiar with engineering processes for developing APIs Understanding the principles of building solutions using Snowflake, open-source frameworks, multi-cloud infrastructure This is a contract position. more »

CD. professional experience with SQL and data transformation, ideally with dbt or similar. with at least one of these Cloud technologies: AWS, Microsoft Azure, Snowflake, GCP. Apply to the Role Roles like these are snapped up very quickly, so act now if you do not want to miss out! Reply more »

total experience in DWBI, Big Data, Cloud Technologies • Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks • Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache more »

rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, and 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 more »

will have: Experience leading a Data Engineering team. Extensive working experience with GCP, SQL and DBT. Proficient in: Kafka, Dataform, Airflow, Tableau, PowerBI, Redshift, Snowflake, Terraform and BigQuery. What's in it for the successful Lead Data Engineer: Hybrid working for a better work/life balance. Joining the fastest more »

required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. Great people skills will be also vital in the role. You will be working with, and expected to influence, colleagues at every level more »

Experience defining, building and deploying Modern Data Architectures Experience defining, implementing and deploying scalable Database architectures within Data Management Systems within platforms such as Snowflake, BigQuery, DataBricks, etc. Experience designing and integrating data algorithms and pipelines ensuring performance, scalability, maintainability, and security with back-end/front-end software systems more »

engineering experience (ideally 8-10 years experience) SQL, PL/SQL, Oracle databases Java Web interfaces Nice to have: Exposure to cloud development (Azure, Snowflake) CANDIDATES MUST HAVE EXPERIENCE WITHIN THE PHARMACEUTICAL INDUSTRY OR MUST HAVE WORKED ON CLINICAL SYSTEMS. Interested? Please apply to this advert with an updated CV more »

have, but not required Experience writing systems on, or tooling for, AWS Experience working at an early-to-medium-stage tech startup Kafka and Snowflake Experience integrating with 3rd-party APIs Experience with standard tooling for big data (much larger than a laptop, much smaller than Google) Experience in cryptocurrency more »

with knowledge of data modeling concepts and data management techniques being advantageous. Skills in implementing reports/analytics are desirable. Knowledge of AWS and Snowflake is desirable. more »

in product delivery models and business analysis Risk and Compliance experience within the financial services sector Experience with Microsoft Azure cloud platform, Databricks and Snowflake Strong skills in data analysis, dimensional data modeling methodologies and business analysis Solid understanding of Software Development Lifecycle (SDLC) and version control disciplines Works with more »

rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, and 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 more »

in Data Science, Data Management, Information Technology, or similar Proficient in creating models in excel, as well as utilising data visualisation tools (Tableau) and Snowflake Prior experience working in a large, matrixed organisation, where you have played a pivotal role in supporting multiple departments on various projects. This is an more »

build, and maintain scalable data architectures, including pipelines and cloud-based data warehouses. Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/Tableau Industry: Fintech, Maritime trading Immersum are supporting the growth of a specialist consultancy who solely specialise in the Maritime trading … with Git for code collaboration and change tracking. Data Pipeline Tools: Proficiency with tools such as Apache Airflow. Cloud Platforms: Familiarity with AWS, Azure, Snowflake, and GCP. Visualisation: Tableau or PowerBI Delivery Tools: Familiarity with agile backlogs, code repositories, automated builds, testing, and releases. more »

biotech space to interact with stakeholders. Not a validation specialist but understands the sequence and what that process needs and is involved. Data tools - Snowflake, Matillion, Tableau, PowerBI more »

join their growing team. Key Responsibilities: KPI Reporting for the Product Team. Manage Google Analytics & Google Tag Manager. Managing the pipeline from GA4 to Snowflake via GCP. Implement tracking for new journeys and ensure accurate reporting. Create & maintain visualisations in ThoughtSpot & Tableau. Apply today and I'll be in touch more »

is instrumental in implementing the data strategy that supports front office stakeholders, systems, and clients. The Data Engineer will leverage cutting-edge technology in Snowflake, Python, SQL, and Azure to enhance our data capabilities and support the investment decision-making process. Key responsibilities include: Design, build, and maintain efficient, reliable … data pipelines using ETL and ELT processes. Ensure the seamless flow and availability of high-quality data across the organization. Utilize Snowflake for data storage, processing, and analytics. Optimize data structures and queries to support analytics and BI initiatives. Develop scripts in Python and SQL to automate data processes, integrate … Must have skills Proven experience as a Data Engineer, with a strong background in data pipeline construction, data architecture, and data warehousing. Expertise in Snowflake, Python, SQL, and cloud-native ETL/ELT tools. Familiarity with Azure and other cloud-native technologies. Understanding of finance industry data domains and their more »