1 to 25 of 120 Permanent BigQuery Jobs

for scaled growth moving forward. THE ROLE Work closely with the product team, and influence the product roadmap through insight recommendations Querying datasets from BigQuery and/or Redshift to understand how users are interacting with products Day-to-day product analytics, measurement, and reporting Setting up and running more »

be an integral part of a team of product analytics experts, strong across web and customer analytics, utilising your strong skillset across SQL/bigQuery & A/B testing. YOUR SKILLS AND EXPERIENCE Strong SQL/bigQuery experience Experience in A/B testing (on-site CRO & statistical 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 »

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. more »

CHEQ is the global leader in Go-to-Market Security, trusted by over 15,000 customers worldwide to protect every aspect of their marketing, sales, and data operation from bots, fake users, fraud, and cyber attacks. Powered by award-winning more »

/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data warehouse solutions utilising technologies such as BigQuery, Azure Synapse, Redshift, Oracle, Teradata, and more. Familiarity with Agile methodologies, particularly Scrum, to support dynamic project management. Valuable contributions to open-source projects more »

etc. Familiarity with AWS services such as Amazon Redshift, AWS Glue, Amazon S3, Amazon RDS, Amazon EMR, etc. Basic understanding of GCP services like BigQuery, Cloud Dataflow, Cloud Storage, etc. Data Engineering Tools and Technologies: Proficiency in SQL for data querying, manipulation, and analysis. Experience with data pipeline orchestration more »

About The Role Team Data Science Working Pattern - Hybrid 2days per week in the Vitality London Office.Full time, 37.5 hours per week. Top 3 skills needed for this role: Proven track record using data and analytics to drive leads and more »

good understanding of distributed version control (Git). Curiosity to experiment and improve, whilst staying aligned on outcomes. Experience with Google Cloud products (Vertex, BigQuery, GCS, Cloud Composer, Dataflow etc.) or similar products from other cloud platforms Appreciation of data management, analytics, science, and visualisation workflows and data needs more »

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 »

order to assist with accurate reporting and guide business decisions. You will also work with other existing and new tools such as Google Analytics, BigQuery, Shopify and more to leverage data and insights, and connect the marketing dots. In addition to this, you will work with our in-house more »

If you have in significant experience in ML software development and pipeline configuration, this is a rare opportunity to use your expertise to help shape the ongoing success of a science-based SME with a bright future. Collaborate strategically with more »

product teams on existing projects and new innovations to support company growth and profitability. Our Tech Stack Python Scala Kotlin Spark Google PubSub Elasticsearch Bigquery, PostgresQL Kubernetes, Docker, Airflow Ke y Responsibilities Designing and implementing scalable data pipelines using tools such as Apache Spark, Google PubSub etc. Optimising data more »

opportunity you would like to apply to, please review the necessary competencies below: Knowledge of ETL, Analytics & Data Warehousing Experience with Cloud, AWS, Snowflake, Bigquery Experience in building a data driven culture, in the form of self-serve analytics Previous hands on experience in building a best in class more »

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 »

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 »

transformations. Deploy code using CICD pipelines built. Essential Skills: Extensive ETL and Data warehousing experience Strong experience in GoLang programming Google Cloud Services and BigQuery ... more »

transformations. Deploy code using CICD pipelines built. Essential Skills Extensive ETL and Data warehousing experience Strong experience in GoLang programming Google Cloud Services and BigQuery ... more »

for Group data consolidation platform built on Google Cloud. - Extensive ETL and Data warehousing experience - Strong experience in GoLang programming - Google Cloud Services and BigQuery Required Skills/Experience - Assess, analyse, data ingestion, transformation & storage layers (RAW, Exploratory, Curated .application ) - Understand and provide inputs for STT documents. - Design and 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 transformation with your expertise in cloud-based data services like BigQuery and Dataflow. What will you be doing? Data Engineering in Google BigQuery: Design, build, test, and deploy data models and transformations for efficient data analysis. Utilise BigQuery's capabilities including SQL, stored procedures, indexing, clustering … skills needed: Python Programming: Proficient in building, testing, and deploying production-ready code. SQL Fluency: Experienced in working with relational and cloud databases (e.g., BigQuery, GCP) Data Pipelines: Possess expertise in building and maintaining Extract, Transform, Load (ETL) processes and dataflows. Continuous Learner: Demonstrate a strong desire to learn more »

and CRO Analysts Speaking with internal stakeholders to explain challenges, solutions, and areas of growth Utilising skills in Google Analytics/Adobe Analytics and BigQuery YOUR SKILLS AND EXPERIENCE Experienced with Adobe Target and Optimzely Client-facing experience – being able to manage and develop clients A background in analytics more »

About The Role Team – Data Science Working Pattern - Hybrid – 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. Top 3 skills needed for this role: Proven track record using data and analytics to drive more »

Role: Senior Python Engineer (Contract) Location : Fully Remote (based in London) Compensation : £550 – £600 (p/d) Duration : 6/12 months Interview Process: Two stages Join One of the Fastest-Growing FT1000 Companies! We’ve partnered with a consultancy more »

SQL Query Trainer - Remote - Part-time (2 days a week) (SQL Query Trainer, SQL, Queries, Training, SQL Management Studio, Azure SQL, GCP Big Query, SQL Query Trainer, Urgent) Our client is an exciting and cutting-edge technology brand with an more »