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 »
Extensive use of cloud technologies such as AWS and GCP. • Good working knowledge of Data Warehousing technologies (such as AWS Redshift, GCP BigQuery or Snowflake). • Experience in deploying and scheduling code bases in a data development environment, using technologies such as Airflow. • Demonstrable experience of working alongside cross-functional more »
first use cases for genAI. QualificationsWhat you’ll need:• Technical expertise in tools spanning: data warehousing, ETL, internal visualisation and analytics. Good examples are Snowflake, GCP, Azure Analytics, Sagemaker, Databricks, Tableau, PowerBI, Looker, Quicksight, Airflow, astronomer.io, Alteryx, Collibra.• Hands on experience and\or a detailed and deep understanding of the more »
Data Engineer/Software Engineer/ML Engineer on an open-source tech stack with Python, Scala, Spark, ‘modern data’ platforms such as Databricks, Snowflake etc., cloud platforms, database technologies.· Track record of leading and motivating high performance engineering staff through ‘leading by example’ hands-on approach.Senior EM would have 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 In Return: A bonus scheme that pays up to 20%, and a benefits package that is one of the 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 »
experience with Python.Experience building scalable, high-quality data models that serve complex business use cases.Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc).Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker.Excellent communication skills and experience in managing 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 »
Experience working in an electronic/systematic trading or investment firm. Experience working directly with Portfolio Managers, Traders, Quants and/or Researchers. AWS, Snowflake JavaScript, Typescript, HTML5, React .Net, C#, Java, JEE, Jakarta EE, Spring, Object-relational Mappers (ORM). RESTful Web Services Microservices Implementations. Data visualisation. Role Description 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 »
around PowerBI. You Excellent experience in using Python. Excellent experience of SQL, relational databases, and modern data warehousing (Azure data lake/warehousing and snowflake desirable). Experienced with Azure Platform, architecture and costing. Building and maintaining reliable ETL/data pipelines. Experienced with structured, semi-structured (e.g. JSON, XML 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 »
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 »
Clerkenwell, England, United Kingdom Hybrid / WFH Options
Datatech
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 »
to automate data pipelines and build analytical warehouses· Deep understanding of cloud-based data platforms (Azure SQL DB, Azure Synapse, ADLS, AWS, Hadoop, Spark, Snowflake, No-SQL etc).· Proficient scripting in programming languages such as Java, Python, Scala· Expert in SQLMachine Learning· Good basic understanding of the main types more »
Maidstone, Kent, United Kingdom Hybrid / WFH Options
Worley
to automate data pipelines and build analytical warehouses· Deep understanding of cloud-based data platforms (Azure SQL DB, Azure Synapse, ADLS, AWS, Hadoop, Spark, Snowflake, No-SQL etc).· Proficient scripting in programming languages such as Java, Python, Scala· Expert in SQLMachine Learning· Good basic understanding of the main types more »
Clerkenwell, England, United Kingdom Hybrid / WFH Options
Syntax Consultancy
interactive visual reporting dashboards + integrating visualizations into web applications. Azure Cloud: designing + implementing Azure cloud based solutions + using data tools like Snowflake and Azure Data Lake Services (ADLS). Developing solutions for Proof of Concept (POC) + Minimum Viable Products (MVP). Advantageous: Banking, JavaScript, HTML, CSS 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 »
Analytics Engineer who has experience of working with large data sets. You will be a valuable member of the team helping them to implement Snowflake as their main Cloud source as well as enhancing their overall customer experience.The ideal candidate must have:Strong data engineering experienceStrong analytics experience Experience with more »
requested/required You have: 3+ years previous relevant experience Attention to detail Experience working with some or all of the following dbm systems Snowflake, MySQL, DBT. Experience of relational database management and development work outside of Database Administration. Working experience of cloud-based systems, AWS, Azure or equivalent. Worked more »
experience in Computer Science or a related field Development experience with Python - (at least 2) Experience with cloud computing, ideally Azure Experience with ideally Snowflake or Linux, Javascript, C# or Powershell Ideally prior experience in the financial industry Excellent stakeholder management skills Benefits: Up to £70,000 with bonuses Exceptional more »
Manchester Area, United Kingdom Hybrid / WFH Options
Maxwell Bond
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 »
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. Experience in the Insurance sector is not required but would be an advantage. 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 »
