9 of 9 Part-Time BigQuery Jobs in London

Experience with large-scale distributed data processing and performance tuning \n Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) \n Strong SQL skills and experience with ...

experience with one or more programming languages such as Python, Java. ● Experience with modern cloud data warehouse platforms such as Snowflake, BigQuery, Redshift or similar. \n ● Experience with cloud-based data platforms, particularly AWS or GCP. ● Experience with data warehousing, data modelling, and ETL development. ● Strong analytical & communication skills ...

with programming languages like Python along with proficiency in SQL. \n Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc. \n Solid grasp of Kubernetes, CI/CD and Terraform. \n Working knowledge ...

CLOUD & DATA ECOSYSTEM \n \n \nExperience in modern cloud data environments (Google Cloud strongly preferred) \n \n\n \n \nFamiliarity with BigQuery, Analytics Hub, dbt or ELT workflows \n \n\n \n \nUnderstanding of data lineage, quality frameworks, and schema design \n \n\n \n \nComfort navigating multi-source ...

Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). \n Strong experience in Python and fluency in another language. \n Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework). ...

experience working in a Martech/Adtech or data-driven marketing environment. \n · \n Knowledge or experience of Google Cloud Platform products such as BigQuery, database SQL or experience with similar cloud solutions would be desirable. \n · \n \n Have a practical knowledge and passion for stats and data ...

such as Looker.\n \n \nExperience launching or scaling performance channels in new markets.\n \n \nExperience working with large data environments such as BigQuery or similar data warehouses.\n \n\n The interview journey: \n \n \nTalent Acquisition Partner screening - 30 mins\n \n \n1st stage with Hiring ...

lifecycle of data science projects from discovery to deployment. Work as part of a cross functional team leveraging Python, dbt, and GCP (Vertex AI, BigQuery) to build robust pipelines. \n · Stakeholder Collaboration: Partner closely with Network stakeholder to translate complex commercial constraints into data science problems and the solutions ...

approaches, and commercial strategies. \n \n \nProficiency with analytical tools including: \n \n \nData visualisation (Looker)\n \n \nSQL (our stack is based around BigQuery)\n \n \nCoding (Python, Github)\n \n\n\n \nKnowledge of statistics and experiment design.\n \n\n The interview journey ...