1 to 25 of 102 BigQuery Jobs in the UK

which includes both on premise and Azure data integration solutions. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data services (e.g., Redshift, BigQuery, Snowflake). Understanding of data security best practices and experience implementing security measures. Excellent problem-solving skills and the ability to work collaboratively in More ❯

supporting project delivery through involvement in project/sprint planning and QA Also: Knowledge of other cloud platforms Google Data Products tools knowledge (e.g. BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.) Relevant certifications Python Snowflake Databricks To apply please click the 'Apply' button and More ❯

Advanced knowledge of SQL, Python, Spark, or Apache Airflow for ETL development. Hands-on experience with cloud data platforms (AWS, Azure, Snowflake, or Google BigQuery). Deep understanding of NHS data governance, IG regulations, and security protocols . Experience working with clinical and research teams to support healthcare analytics More ❯

But if not? We’ll help you get there: Understanding of cloud computing security concepts Experience in relational cloud-based database technologies like Snowflake, BigQuery or Redshift Experience in open-source technologies like Spark, Kafka, Beam understanding of Cloud tools such as AWS, Microsoft Azure or Google Cloud Familiarity More ❯

in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud More ❯

tools such as Tableau Experience working with APIs Experience working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to More ❯

roles. Experience working with other data disciplines, such as data engineering and data analytics. Experience with SQL, DBT, modern cloud data warehouses (e.g. Snowflake, BigQuery), self-service BI tooling (e.g. ThoughtSpot, Looker, Hex). Experience with Python, Jinja, Git, YAML, orchestration tools (e.g. Airflow, Dagster), and CI/CD More ❯

Cloud Native technologies (including Google Cloud Platforms), covering big data, analytics, and AI/ML domains. Extensive experience with GCP tools and technologies, including BigQuery, Cloud Composer, Data Flow, Cloud Storage, Vertex AI, and Dataproc. Expertise in creating, deploying, configuring, and scaling applications on GCP serverless infrastructure. Strong knowledge More ❯

Cloud Native technologies (including Google Cloud Platforms), covering big data, analytics, and AI/ML domains. Extensive experience with GCP tools and technologies, including BigQuery, Cloud Composer, Data Flow, Cloud Storage, Vertex AI, and Dataproc. Expertise in creating, deploying, configuring, and scaling applications on GCP serverless infrastructure. Strong knowledge More ❯

tools such as Tableau • Experience working with APIs • Experience working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools • Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to More ❯

experience with relational databases (e.g., MySQL, PostgreSQL) Proficiency in programming languages such as Python, Java, or Scala Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake) Strong communication skills Desired Skills and Experience Data Engineering, ETL, Azure, Data Factory, Data Warehouse Desired Skills and Experience Senior Data Engineer, Azure More ❯

processing and analytics. Key Requirements: Strong experience in GCP, Python, SQL, and Kafka. Proficiency in data engineering and analytics within financial services. Experience with BigQuery and Looker is beneficial. Expertise in cloud migration projects, particularly from on-prem to GCP, is a significant advantage. Understanding of best practices in More ❯

a strategic or enterprise-level data governance role. Strong knowledge of data management frameworks and regulatory requirements. Technical expertise with Google Cloud Platform (GCP), BigQuery, Looker, Power BI , and other data technologies. A commercial mindset with the ability to link data governance to business impact. Excellent problem-solving, analytical More ❯

and are excited by the challenge of uncovering new patterns and insights to drive industry-leading research. Requirements Basic proficiency in Python and SQL (BigQuery), with the ability to self-serve analysis queries and modify existing code for more complex and advanced data manipulation - preference given to candidates with More ❯

and are excited by the challenge of uncovering new patterns and insights to drive industry-leading research. Requirements Basic proficiency in Python and SQL (BigQuery), with the ability to self-serve analysis queries and modify existing code for more complex and advanced data manipulation - preference given to candidates with More ❯

end data platforms that are scalable, secure, and cost-effective using cloud technologies (AWS, GCP, Azure). Implement hybrid cloud architectures (e.g., Snowflake, Redshift, BigQuery), and migrate legacy systems to modern cloud-based platforms. Lead the creation of Proofs of Concept (PoCs) and Minimum Viable Products (MVPs) for data More ❯

and AI/ML platform construction. Good with artificial and machine learning systems (Google Vertex AI, Azure ML, AWS SageMaker) and contemporary data tools (BigQuery, Databricks, Snowflake, Spark, Kafka). Good grasp of accountable artificial intelligence, ethics, and model explainability. Proficient in integrating artificial intelligence with APIfirst, microservices, and More ❯

a skilled Senior Data Engineer to drive the modernization of our clients data infrastructure. This role will involve leveraging advanced data technologies, including GCP, BigQuery, DBT, and Dagster, to build scalable pipelines, streamline processes, and deliver impactful solutions. You will collaborate across teams to shape a forward-thinking data More ❯

decision-making Your Skills and Experience To be successful in this role, you should have: ✅ Experience with Adobe Analytics or Google Analytics ✅ Proficiency in BigQuery or SQL for data extraction and analysis ✅ Strong analytical and problem-solving skills ✅ Excellent communication skills to present insights to stakeholders The Benefits 💼 Competitive More ❯

Improving data quality, technical standards, and reporting systems. What We're Looking For Expertise in Power BI (Power Query & DAX) and Google GCP tools (BigQuery, Looker). Strong ability to analyse and present complex data in a simple, actionable way. Knowledge of data-related laws and best practices. A More ❯

sustain and implement existing ELT pipelines Skills and Experience: Essential to have 4+ years experience in: SQL Python DBT Cloud techs such as Snowflake, BigQuery or Databricks Desirable to have experience with: CI/CD pipelines Kafka; real-time streaming Snowflake as a data warehouse Product Analytics Experience working More ❯

control tools (ideally Git) Exposure to Snowflake Agile environment experience Desirable Skills/Experience: Experience in the retail industry Experience with GCP (Dataflow and BigQuery) Experience creating CI/CD pipelines If this Data Engineer opportunity is of interest, then please apply here More ❯

Developing and improving backend APIs to support data-heavy applications What You Need: Strong Python skills writing clean, efficient, and scalable code Experience with BigQuery, PostgreSQL, and Elasticsearch Hands-on experience with Google Cloud, Kubernetes, and Terraform Deep understanding of Apache Spark for large-scale data processing Knowledge of More ❯

to ensure successful project execution. Oversee the deployment of key GCP Hybrid Cloud services such as Anthos, Google Cloud VMware Engine, Cloud Interconnect & VPN, BigQuery Omni, and Bare Metal Solution. Work closely with regulatory and compliance teams to ensure cloud solutions align with data sovereignty, financial regulations, and security More ❯

to ensure successful project execution. Oversee the deployment of key GCP Hybrid Cloud services such as Anthos, Google Cloud VMware Engine, Cloud Interconnect & VPN, BigQuery Omni, and Bare Metal Solution. Work closely with regulatory and compliance teams to ensure cloud solutions align with data sovereignty, financial regulations, and security More ❯