1 to 25 of 106 Permanent BigQuery Jobs in the UK

Engineers. Experience & Skills required: 7+ years Data Engineering 1+ years in a Lead/Principal Engineer role 3+ years GCP experience Data Ingestion & Transformation BigQuery experience advantageous but not essential. Extensive experience with SQL and Data Lake/Warehouse solutions Strong proficiency in languages such as SQL, Python, Java 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 »

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 »

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 »

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 »

Turning large data sets into meaningful insight that that drive business decisions Support forecasting processes through detailed data analysis Perform data mining using Google BigQuery to uncover insights Identify trends in key business areas and recommend changes to optimise performance Update and distribute daily performance reports to keep the … performance. Essential Skills & Requirements 5+ years' experience as an Analyst or in a similar role Experience in writing queries using SQL Experience in using BigQuery Experience in the use of Looker would be advantageous Advanced knowledge of Excel and Google sheets Experience working with large datasets Strong organisational and 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 »

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 »

and self-service analytics solutions. Proficiency in data modelling, ETL processes, data integration, and data visualisation tools. Previous Cloud Migration experience essential (either Synapse, BigQuery, Redshift) Expert level experience working with Azure and or Certified Azure Data Engineer Associate Interest on and exposure to on Generative AI are beneficial. 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 »

requirements Expert and demonstrable technical background in data tools and process Proven experience working with large, complex datasets in a cloud environment such as BigQuery An extensive data analysis & interpretation background in evaluation of data gathered from various sources, helping key partners understand and maximise the potential of Sky 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 »

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 »

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 »

enhancing database performance. Proficient in data modeling and data warehousing. Multiple years of experience with GCP, especially with core processing and orchestration products like BigQuery, DataFlow, DataFusion, DataStream, Cloud Functions, DataProc, and Airflow/Composer. Strong problem-solving skills and a meticulous approach to code reviews. Proven leadership qualities 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 »

expertise developing scalable data pipelines. Strong object oriented programming skills, particularly in Python . Experience with data lakes and data warehousing solutions ( Spark, Dataflow, BigQuery ). Knowledge of SQL and experience with relational databases, as well as NoSQL databases Familiarity with cloud services (preferably GCP ) and understanding of its more »

is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery - LLMs: GPT, Claude And this is what you’ll get in return: Salary up to £120,000 depending on experience Share Program Flexible working 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 »