design, implement and manage data lake/data warehouse platforms. (Some of the following types of providers: AWS, Microsoft Azure, Google Cloud Platform, Databricks, Snowflake, Cloudera, Spark, MongoDB) Done this at companies using high volumes of data, ideally in retailing. Other sectors where used high volume data would also be more »
Kubernetes).Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark).Familiarity with other cloud platforms (e.g. AWS, Google Cloud) and PaaS providers (e.g. Snowflake)Knowledge of Inner or Open Source paradigm and way of workingKnowledge of Cloud (Azure) Networking and Security StandardsKey Responsibilities:Data Platform Engineering: Contribute to designing more »
Kubernetes).Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark).Familiarity with other cloud platforms (e.g. AWS, Google Cloud) and PaaS providers (e.g. Snowflake)Knowledge of Inner or Open Source paradigm and way of workingKnowledge of Cloud (Azure) Networking and Security StandardsKey Responsibilities:Data Platform Engineering: Contribute to designing more »
Southampton, Hampshire, South East, United Kingdom Hybrid / WFH Options
Datatech Analytics
predictive modelling, segmentation, time series analysis and applying these for decision making. You've had experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery and the like. You've a track record of taking data science products from conception through to deployment in production. You've had 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 »
Spark experience Must have strong AWS experience Must have Terraform experience SQL & NoSQL experience Have built out Data Warehouses & built Data Pipelines Strong Databricks & Snowflake experience Docker, ECS, Kubernetes & Orchestration tools like Airflow or Step Functions are nice to have Contracts are running for 6 months initially, paying up to more »
Data 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 experienceExperience with SnowflakeExperience with Amazon 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 »
experience designing data pipelines/warehouses using AWS and Snowflake. Exposure to big data technologies such as Kafka, Spark, or Hadoop. Solid experience with Snowflake, including performance optimisation and cost management. Strong experience with SQL and Data modelling. Excellent understanding of AWS architecture and the ability to design effective, scalable more »
best practices. A team player with excellent communication & collaboration skills. Desirable: Experience developing and maintaining data warehouses/lakes using big data solutions (e.g., Snowflake, Databricks). Familiarity with SQL Server, PostgreSQL or NoSQL database technologies. Previous experience within banking or finance desirable, but by no means necessary. If you more »
as well as maintaining a hands on involvement in day to day tasks Strong SQL & Python, Dbt Expertise in data warehouses such as Redshift, Snowflake, AWS If you are interested in this or other Analytics opportunities please contact Liam Wilson on liam.wilson@xcede.com or +44(0) 203 871 6363. Unfortunately more »
their investment models. Tech is also completely flexible. Most of the work is done within Python, C# and Scala with a range of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a more »
Greater London, England, United Kingdom Hybrid / WFH Options
Lyra, formerly ICAS World
teams 2+ years experience running Agile projects Strong awareness & understanding of data regulation similarities and differences across the international spectrum Desirable Working experience with Snowflake as a data warehouse Working experience with data integration platforms such as Fivetran Working experience with building visuals and dashboards on BI tools such as 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 »
have experience with building visualisation layer on top of the warehouse eg Power BI. Must have worked with Cloud Database technology like Google BigQuery, Snowflake etc. Should have Experience with Multi-dimensional OLAP cubes to store/reference data in semantic data layer. Asset Management data expertise. Strong SQL but more »
Finance Team. Requirements To qualify for this role, you will require: · Strong experience with dbt and SQL · Experience working within Cloud Environments (Redshift, Bigquery, Snowflake) Salary A successful candidate will receive: · A Salary of up to £75,000 · Excellent progression opportunities Process- two interview stages 1st Stage- Short Conversation with more »
Engineer Experience working with AI frameworks and libraries (PyTorch) Confidence collaborating in a complex and cross-functional teams Strong skills with: AWS, Python, Airflow, Snowflake Interested ? Apply now or reach out to daisy@wearenumi.com for further details and a chat 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 »
Greater London, England, United Kingdom Hybrid / WFH Options
InterEx Group
definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech more »
Models (e.g., Research Pricing, recommendation systems)Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation (Kubernetes, DockerProven Experience working across Data platforms (e.g. Snowflake, Databricks)Strong Stakeholder Management experienceThis is an exciting opportunity to join a leading Exchange within an exciting area of the business working on a pivotal more »
environment ☁️ 🔹 Proven ability to design, implement, and utilize various database structures with a focus on cloud-based data services such as Azure, Databricks, and Snowflake ❄️ 🔹 Experience in building ETL/ELT data pipelines and applying DevOps (CI/CD) concepts to test, schedule, and deploy to a production environment 🔄 If 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 »
position Proficiency in PL/SQL and an additional object-oriented programming language (Highly desirable) Experience in big data instances such as Cloudera, Azure, Snowflake, etc. Structured thinking with the ability to break down ambiguous problems and propose impactful data modeling designs Ability to roll out analytics dashboards (e.g., Power more »
of designing architectures and leading technical delivery for Data focused AWS projects Knowledge of other Cloud Platforms and SaaS offerings such as Azure, GCP, Snowflake & Databricks Relevant industry recognised certifications, such as TOGAF, AWS Solution Architect etc Experience of delivering projects using relevant Data Architectural paradigms such as Kimball, Data 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 »