1 to 25 of 62 BigQuery Jobs in the UK

Senior Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. Experience designing reliable, maintainable, and high-performance data pipelines ...

data warehouse platform. Extremely Strong SQL skills Significant hands-on experience integrating APIs. Experience with the Google Cloud Platform/Data Stack including: BigQuery; Cloud Functions; Cloud Storage; Pub/Sub; IAM Management; Data Studio Strong working knowledge of Python for pipeline development, automation and tooling integration. Hands ...

based data architectures (GCP experience essential) Proficiency in Python, SQL, (epsoure to Java, Kotlin, Bash) Hands-on experience with modern data tools such as BigQuery, Dataflow, Pub/Sub, dbt, Kubernetes, or similar Experience building and maintaining data pipelines Familiarity with CI/CD, Git, Terraform, and modern engineering ...

Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) Data & Engineering Excellence Lead the evolution of modern data platforms (Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering practices (Airflow, dbt, Prefect) and governance (Collibra, Purview) Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps Champion ...

data engineering, analytics engineering, or technical analytics Strong SQL skills, including joins, window functions, and performance tuning Experience with Databricks, Snowflake, or BigQuery Strong data modelling experience, ideally with dbt Experience with BI tools such as Omni, Power BI, Tableau, Looker, or Sigma Strong stakeholder management and communication skills ...

Qualifications: Proficiency in Python, Scala, and SQL. Extensive experience in data modelling and ELT/ETL processes. Strong experience with Google Cloud Platform, including BigQuery, Dataflow, Pub/Sub, and Composer. Familiarity with CI/CD & DevOps practices, including automated testing and infrastructure as code. Experience in implementing data ...

migration pipelines, including support for legacy DataStage decommissioning and modernisation. Work with a variety of database technologies including relational, NoSQL, MPP and columnar stores (BigQuery, Redshift, Azure SQLDW, HBase, MongoDB). Build optimised, scalable data models. Apply performance tuning and optimisation across storage. Ensure secure handling of data including ...

with cloud platforms such as AWS, Azure, or Google Cloud , and experience integrating with cloud-based data warehouses or data lakes (eg Snowflake, Databricks, BigQuery). Knowledge of data security and compliance best practices in cloud-based environments. This temporary contract is inside IR35 and will require working under ...

with cloud platforms such as AWS, Azure, or Google Cloud , and experience integrating with cloud-based data warehouses or data lakes (eg Snowflake, Databricks, BigQuery). Knowledge of data security and compliance best practices in cloud-based environments. This temporary contract is inside IR35 and will require working under ...

leadership roles Strong hands-on experience across: Azure cloud, ADF, DevOps, Power BI, Fabric workspaces AWS cloud, S3, cross-cloud connectivity, API Gateways GCP (BigQuery, GCS, Dataflow) Deep expertise in: Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.) Snowflake (data warehousing & data sharing, Iceberg ...

time data pipelines Knowledge of microservices and distributed systems Tech & Cloud Experience with AWS, Azure, or GCP (AWS preferred) Familiarity with Databricks, Snowflake, or BigQuery Engineering Practices Strong in testing, CI/CD, Git Experience with Terraform, Docker, Kubernetes Experience 3+ years in data engineering Agile experience and strong ...

pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems ...

pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems ...

experience as a Data Engineer with solid foundations in SQL and dimensional modelling Experience working with Snowflake or similar cloud data warehouses such as BigQuery Good Python capability, including orchestration tools such as Airflow Proven experience building and managing data ingestion pipelines Cloud experience within AWS or GCP environments ...

Real experience as a Data Engineer, building pipelines and doing data analysis not just exposure to it. Hands-on experience with Google Cloud, specifically BigQuery, Cloud Run and DBT Cloud. Version control and CI/CD experience, ideally with GitLab. Familiarity with Jira and Confluence. Nothing exotic ...

regular knowledge sharing. About You Educated to a degree level or with demonstrable relevant experience Extensive experience of at least 4 years working with BigQuery is essential including a solid understanding of SQL coding Strong Experience of Google analytics (GA4). Extensive Experience of visualisation software essential (e.g. Power ...

/AI modelling, analytics. You've designed complex end-to-end solutions, not just one layer of the stack. Google Cloud hands-on experience: BigQuery, Analytics Hub (BQ Sharing), Cloud Functions and DBT Cloud specifically. Comparable cloud experience considered for strong candidates. Commercial mindset: You can demonstrate data product ...

bring a mix of strong technical capability and commercial understanding. Advanced SQL skills (this is a must) Experience working in a cloud data environment (BigQuery preferred) Experience managing data transformations in Dataform, and architecting data models in Looker Background in digital commerce, digital advertising, ad-tech, media, or marketplace ...

experience in data science or advanced analytics roles (typically 5+ years) Advanced SQL skills with experience working on large-scale datasets (e.g. Databricks, Snowflake, BigQuery) Proficiency in Python for data analysis, modelling, and experimentation Experience building predictive models (e.g. propensity modelling, segmentation, forecasting) Demonstrated ability to deliver data-driven ...

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 Hands on containerisation experience (Docker or similar) and orchestration (e.g. with kubernetes) Experience processing of biological archive data Tests and CI/ ...

friction exists and what the data is really telling us about outcomes. You will work with Google Analytics data and write SQL in Google BigQuery to bring together different data sources, create meaningful analysis, and support clear and reliable dashboards using tools like Looker Studio and Power BI. Just ...

friction exists and what the data is really telling us about outcomes. You will work with Google Analytics data and write SQL in Google BigQuery to bring together different data sources, create meaningful analysis, and support clear and reliable dashboards using tools like Looker Studio and Power BI. Just ...

friction exists and what the data is really telling us about outcomes. You will work with Google Analytics data and write SQL in Google BigQuery to bring together different data sources, create meaningful analysis, and support clear and reliable dashboards using tools like Looker Studio and Power BI. Just ...

friction exists and what the data is really telling us about outcomes. You will work with Google Analytics data and write SQL in Google BigQuery to bring together different data sources, create meaningful analysis, and support clear and reliable dashboards using tools like Looker Studio and Power BI. Just ...

Platform (GCP) while ensuring alignment to platform strategy and security controls. Technical Leadership: Deliver high-quality solutions using GCP cloud-native services such as BigQuery, Cloud Run, and Vertex AI. Cloud Integration: Utilize your understanding of Kubernetes, service mesh, and network boundaries to architect efficient GCP workloads. Design Patterns ...