Newcastle Upon Tyne, England, United Kingdom Hybrid / WFH Options
BJSS
of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »
Birmingham, England, United Kingdom Hybrid / WFH Options
BJSS
of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »
Milton Keynes, England, United Kingdom Hybrid / WFH Options
BJSS
of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
developing or maintaining web-based applications (html, css, Javascript frameworks such as Angular, React) Cloud (GCP or AWS) and popular cloud Big Data tools - BigQuery, Dataflow, Looker Containerisation (Docker or similar) and orchestration (k8s) Experience of processing biological archive data Tests and CI/CD Apply now! Benefits and more »
key projects for clients across the UK, Northern Europe, and North America. Expertise in Google Cloud and modern data stack technologies (Fivetran, DBT, Airflow, BigQuery, etc). Lead and sometimes work within project teams. Manage multiple concurrent projects and meet client deadlines. What you need: Have hands-on experience more »
working on: We’re looking for a product analyst to join our ever-developing London office. You’ll be using tools and databases including BigQuery, Tableau, DBT and Python, to tackle important problems that we’re only just starting to understand, in order to: Measure, quantify and optimise complex more »
in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Desired: Data Engineering technologies e.g. ETL , Spark , Dataflow , BigQuery Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest more »
in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Desired: Data Engineering technologies e.g. ETL , Spark , Dataflow , BigQuery Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest more »
for model enhancementsPlan and deliver the development of improvements to existing ML models.Measure and communicate impacts of the changes to key customersSystems: Python, GCP (Bigquery and Vertex AI), KubeflowYou’ll be a successful Senior Data Scientist at OVO if you…Extensive Experience: Minimum 5 years of experience in data more »
wide - Analyze large datasets to extract valuable insights - Develop predictive models for forecasting - Implement attribution tracking and modeling - Utilize big data tools like GoogleBigQuery - Create compelling data visualizations - Communicate insights to stakeholders - Develop data collection systems and processes - Ensure data accuracy and compliance Qualifications - 2+ years data analysis more »
selected candidate will also be focusing on building, designing and taking ownership of high quality data products. Key requirements: Advanced SQL Google Cloud Platform BigQuery (or Snowflake) Terraform Full understanding of CI/CD pipelines Python Expereince in leading data teams (Tech lead) Offer and Benefits: Discount scheme for more »
s degree in a quantitative discipline (statistics, economics, mathematics, marketing analytics) 5+ years of experience in marketing analytics field Proficient in Google Analytics and BigQuery Proficient in SAS and/or SQL; minimum 5 years of experience Team player with the ability to mentor and manage junior resources Proficient more »
a plus). Because data preparation will be c.25% of the role,the candidate requires technical background and comfort with this activity. Experience GCP BigQuery and Oracle PL/SQL experiences are a plus. Cooperative and positive attitude in a group setting to achieve common goals Ability to act more »
expansion, they are quickly moving towards being at the forefront of innovation in the leisure industry. The company has established a data warehouse in BigQuery through a third party and is beginning to utilise tools such as Looker for data visualisations. Now, there is a strong push to further more »
engineering guidelines.Contribute to the development and enhancing of our ML platform.Mentoring and educating other teams about effective ML practices and MLOps strategies.Systems: GCP services (BigQuery, Cloud Composer, DataForm, VertexAI, etc), GitHub, DataRobot. You’ll be a successful Senior Machine Learning Engineer at OVO if you…Experience in developing ML more »
Must have experience with building visualisation layer on top of the warehouse eg Power BI. Must have worked with Cloud Database technology like GoogleBigQuery, Snowflake etc. Should have Experience with Multi-dimensional OLAP cubes to store/reference data in semantic data layer. Asset Management data expertise. Strong more »
working with large and complex data sets to extract insights and identify trends Exposure to cloud-based analytical platforms such as Databricks, Snowflake, GoogleBigQuery etc. A proven background in paid media measurement and web analytics for customer journey purposes Strong technical skills with Google Analytics (GA) or Adobe more »
SQL and working with large and complex data sets You've had some exposure to cloud based analytical platforms such as Databricks, Snowflake, GoogleBigQuery etc You have experience of marketing campaign design and analysis, working with customer data to find key insights to inform and drive change within more »
processes and coordinating release schedules Preferred Qualifications Experience owning/driving roadmap strategy and definition Understanding of data warehouses or Lakehouses, such as on BigQuery, Databricks or Snowflake Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems WHO WE ARE: Do Your Best Work more »
working with partners for GCP transition. Design and deploy data pipelines with automated data lineage. Develop reusable data engineering frameworks using GCP services like BigQuery, DataFlow. Ensure timely migration to GCP. Essential Qualifications: 5+ years of SQL. 3+ years of GCP and its different services. Experience with microservice architecture more »
in Python and SQL Data Engineer Desirable Qualities: Ability to communicate effectively to technical and non technical people Nice to haves includes: Kubernetes, Docker, BigQuery, Cloud, Databases Interest in FinTech Data Engineer Responsibilities: Creating new data pipelines Implementing automated data pipelines and overseeing MLOps processes to streamline the workflow more »
for improving or further leveraging these systems Good Knowledge on NOSQL design and flexible schema definitions with variety of products (Couchbase, Mongo, Cassandra, Postgres,BigQuery ..etc) and data modelling techniques Create conceptual, logical and physical data models with enterprise best practises and standards Worked on OLAP and OLTP applications more »
and organize system maintenanceRequirements5+ years of experience in analytics or marketing operations positionsAdvanced knowledge of SQL in a variety of environments (Presto/Trino, BigQuery, etc)Good knowledge of ETL and Data Pipeline processesExperience in levers that influence Attribution: Marketing Channels, Marketing Activities, Cost, and Conversion Marketing Channel AttributionExperience more »
technology: With a deep understanding of enterprise software environments, especially Cloud/SaaS analytics/Data warehouse and Business Intelligence solutions, applications & technologies including BigQuery, Snowflake, Redshift, and Databricks. Commercial acumen: you are deeply data-driven and care about what moves the needle for pipeline creation, rather than focusing more »
Greater London, England, United Kingdom Hybrid / WFH Options
Cera
This is an exciting opportunity to join one of Europe's fastest growing health-tech startups, working in a Data team that has made huge steps in moving our innovative platform forwards This role is Hybrid but only requires 1 more »