1 to 25 of 94 BigQuery Jobs in England

Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion. • NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore. • BigQuery and Data Studio/Looker. • Snowflake Data Warehouse/Platform • Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. • Experience more »

Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant database programming in SQL Capability to solve complex more »

to deliver best in class data science products and solutions for end clients Exposure to cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc. more »

Demonstratable commercial experience working on Data Pipelines, Data Warehouse, and ETLs. Strong Python coding skills GCP experience (GCP Datastream, Pub/Sub, Dataflow, Dataform, BigQuery) Experience with modern development methods and tooling: containers (e.g., Docker) container orchestration (Kubernetes/K8s) CI/CD experience Version control (Git, Github, Gitlab 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 »

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 »

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 »

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 »

Must 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 more »

working with large and complex data sets to extract insights and identify trends Exposure to cloud-based analytical platforms such as Databricks, Snowflake, Google BigQuery 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 »

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 the data warehouse development team. Managing, prioritising and monitoring team work streams. Developing processes and standards for Ab Initio ETL product. Managing the BigQuery database platform. Gaining an intimate and detailed knowledge of the Business processes and data structures. Developing departmental standards and enforcing the adherence to the 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 Proven experience with A/B testing platforms such as Adobe Target and Optimzely Strong communication skills A background in more »

crucial role in developing and maintaining our data infrastructure, ensuring scalability, reliability, and efficiency. Key Responsibilities: Design, develop, and maintain scalable data pipelines using BigQuery, Python, and CloudRun. Collaborate with data scientists and analysts to understand business requirements and translate them into technical solutions. Implement best practices for data … date with the latest technologies and trends in data engineering and recommend innovative solutions to enhance our data infrastructure. Required Skills: Strong proficiency in BigQuery, Python, and CloudRun. Experience with building and optimizing data pipelines for large-scale datasets. Solid understanding of data modeling concepts and ETL processes. Experience more »

THE ROLE: Conduct A/B tests, analyse results, and optimise website performance. Develop and maintain SQL queries for data extraction and manipulation. Leverage BigQuery to aggregate and process large datasets efficiently. Create interactive and insightful dashboards using SQL and BigQuery. Collaborate with cross-functional teams to identify key … a Higher Education setting. Proficiency A/B testing and personalisation. Strong SQL skills with experience in querying and manipulating large datasets. Familiarity with BigQuery or similar big data platforms. Experience creating dashboards and reports for business stakeholders. Proficiency in data visualisation tools like Looker Studio. Strong analytical and more »

leaving you to deliver the more strategic business solutions and projects. As a business they have invested in tools such as Google Analytics 4, BigQuery, dbt and Google Cloud but are open to other toolings you see necessary. Strong skills in SQL is essential as you you may be … for the right person the opportunity for growth and ownership in this role is HUGE. Required experience: Experience in Data Analytics they use Google BigQuery, Google Analytics 4. They also would like some familiarity in dbt. Familiar with common e-commerce testing and measurement strategies such as Geo-testing more »

some experience using other languages such as Python or R. You've had experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery and the like. Experience of marketing campaign design and analysis is essential, working with customer data to find key insights to inform and drive more »

Brio Digital are happy to be supporting a data consultancy who are currently looking for an analytics engineer. The role will be hybrid with 2x days per week on-site in London. Salary; Up-to £80,000. Analytics Engineer Experience 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 »

maintenance of data pipelines and data storage systems on Google Cloud Platform (GCP). You will be working with technologies such as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics purposes. Our business more »

Flink, or Hadoop. > Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure. > Experience with data warehousing technologies such as Redshift, BigQuery, or Snowflake. > Knowledge of database systems such as MySQL, PostgreSQL, or MongoDB. > Excellent problem-solving skills and attention to detail. > Strong communication and collaboration more »

Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g., Cloud Storage, BigQuery). Deep understanding of cloud computing concepts, including infrastructure as code, serverless computing, and containerization. Expertise in designing scalable and resilient architectures for data 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 »