51 to 75 of 249 BigQuery Jobs in London

data integration issues and develop creative solutions. Nice to Have: 1. *Cloud Data Platforms*: Experience with cloud data platforms such as AWS Redshift, Google BigQuery, or Azure Synapse Analytics. 2. *Data Science*: Knowledge of data science concepts and experience with data science tools such as R, Julia, or TensorFlow. More ❯

Architect with us? Create Solution architectures for Data Engineering and Analytics projects using google native products like Pub/Sub, DataFlow, Cloud Functions, Google BigQuery and Looker Create Solution architectures for Data Engineering and Analytics projects using AWS products like S3, Redshift, QuickSight and AWS SageMaker Build High performance More ❯

Architect with us? Create Solution architectures for Data Engineering and Analytics projects using google native products like Pub/Sub, DataFlow, Cloud Functions, Google BigQuery and Looker Create Solution architectures for Data Engineering and Analytics projects using AWS products like S3, Redshift, QuickSight and AWS SageMaker Build High performance More ❯

to help us build structured, high-quality data solutions for our Content Understanding teams. Our teams process petabytes of data using tools such as BigQuery and Dataflow, and where needed we develop our own data tooling to support and evolve our music catalog. What You'll Do Take ownership 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 ❯

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 ❯

at least 2 Cloud platforms (Azure, AWS, GCP, Snowflake, Databricks) and Big Data processing (e.g., Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka, Dataflow, Airflow, and ADF. Strong ETL and data modeling skills. Proven ability to design and More ❯

at least 2 Cloud platforms (Azure, AWS, GCP, Snowflake, Databricks) and Big Data processing (e.g., Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka, Dataflow, Airflow, and ADF. Strong ETL and data modeling skills. Proven ability to design and More ❯

to help us build structured, high-quality data solutions for our Content Understanding teams. Our teams process petabytes of data using tools such as BigQuery and Dataflow, and where needed we develop our own data tooling to support and evolve our music catalog. Location London Job type Permanent What More ❯

Data Engineering, or BI Engineering Understanding of data warehousing, data modeling, and structuring data tables Knowledge of cloud-based MPP data warehouses (e.g., Snowflake, BigQuery, Redshift) Nice to Have Experience developing in BI tools like Looker or similar Practical understanding of version control systems SQL ETL/ELT expertise More ❯

a culture of data-driven decision-making. Skills and Qualifications Essential Technical and Analytical Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or Holistics. Strong understanding of data modelling, reporting More ❯

in SQL, Python, SSIS, and shell scripting Familiarity with data modelling tools like ER/Studio Experience working with Google Cloud Platform components (e.g., BigQuery, GCS, Kafka) Knowledge of agile development practices Comfortable engaging with clients and working collaboratively within cross-functional teams More ❯

in SQL, Python, SSIS, and shell scripting Familiarity with data modelling tools like ER/Studio Experience working with Google Cloud Platform components (e.g., BigQuery, GCS, Kafka) Knowledge of agile development practices Comfortable engaging with clients and working collaboratively within cross-functional teams More ❯

a large-scale data transformation context Hands-on experience with ER/Studio for professional modelling tasks Solid understanding of Google Cloud Platform, including BigQuery, GCS, and Pub/Sub or Kafka Strong coding background in Advanced SQL, SSIS, Python, and Unix Shell scripting Familiarity with Agile delivery frameworks More ❯

Platform (GCP) Expertise Cloud-Native Proficiency: Kubernetes, containers, and serverless architectures. GCP Service Mastery: Deep knowledge of core GCP services (Compute Engine, Storage, SQL, BigQuery, etc.), with a strong emphasis on Vertex AI and other AI/ML offerings. Vertex AI: Expertise in building, deploying, and scaling machine learning More ❯

. DESIRED SKILLS Familiar with C# .NET Core running on Debian, Typescript, and React. Experience working with Google Cloud Platform (GCP) technologies such as BigQuery, Cloud MemoryStore, Cloud SQL, and Google Kubernetes Engine. Experience implementing OAuth2 and Open ID Connect workflows and associated session/token handling semantics. Knowledge More ❯

Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google More ❯

s data to work, deploying jobs into our Kubernetes cluster, writing Python code to orchestrate them in Dagster, and modelling the data in our BigQuery data warehouse. Evolve our testing, alerting and quality monitoring capabilities to continuously improve the trust of our data. Deploy data infrastructure through Terraform+Atlantis and More ❯

working on: We're looking for a product analyst to join our fast-paced 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 ❯

data pipelines Experience working with cloud platforms (e.g., AWS, GCP, or Azure) Familiarity with modern data stack tools (e.g., dbt, Airflow, Snowflake, Redshift, or BigQuery) Understanding of data modelling and warehousing principles Experience working with large datasets and distributed systems What's in it for you? Up to £70k More ❯

in your specialist discipline 8+ years' experience in architecting, developing, scaling and monitoring complex data pipelines Expert in cloud data platforms e.g. Snowflake, Databricks, BigQuery, Redshift Expert in SQL and Python Strong understanding of data development best practices Strong understanding of design patterns and architectural best practices Ability to More ❯

impact What We're Looking For: 3+ years in a commercial data analytics role Leadership potential or mentoring experience Advanced SQL skills; experience with BigQuery Expertise in Looker (or similar), with a knack for clean, impactful visualisation Strong knowledge of data modelling, regression and cohort analysis Proven ability to More ❯

impact What We're Looking For: 3+ years in a commercial data analytics role Leadership potential or mentoring experience Advanced SQL skills; experience with BigQuery Expertise in Looker (or similar), with a knack for clean, impactful visualisation Strong knowledge of data modelling, regression and cohort analysis Proven ability to More ❯

media landscapes. Strong track record of managing client or stakeholder relationships. Able to explain technical concepts in simple, business-friendly language. Skilled in SQL, BigQuery or similar, with Python or JavaScript as a plus. Experience applying statistical techniques to business problems Degree (or equivalent) in a statistics-based subject More ❯

media landscapes. Strong track record of managing client or stakeholder relationships. Able to explain technical concepts in simple, business-friendly language. Skilled in SQL, BigQuery or similar, with Python or JavaScript as a plus. Experience applying statistical techniques to business problems Degree (or equivalent) in a statistics-based subject More ❯