101 to 125 of 604 BigQuery Jobs in London

infrastructure as code (IaC), automation, CI/CD pipelines, and application modernization on GCP. Serve as a subject matter expert on various GCP services, including Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, IAM, and more. Troubleshoot and resolve complex technical issues, providing expert guidance to project teams. Quality Assurance and Best Practices: Conduct regular reviews of project deliverables to … Solid understanding of networking principles and their application within GCP. Experience with containerization technologies (Docker, Kubernetes/GKE). Familiarity with data management and analytics services on GCP (e.g., BigQuery, Cloud Dataflow, Cloud Storage). Strong understanding of identity and access management (IAM) within GCP. Familiarity of different Cloud Platform like AWS, Azure is nice to have Consulting and More ❯

a) Migration of portfolio from our UW legacy CRM system to Gentrack. b) Build extract scripts to pull data from Gentrack Junifer database and load the data into UW BigQuery data warehouse to assist with management, regulatory, operational and other reports. This role will be particularly focussed on (b) above and will include: interpreting Junifer data models, build ETL … scripts, and populate energy data models in our UW BigQuery environment. We deliver progress. What you’ll do and how you will make an impact. This role would need: Experience in data migration projects (ideally energy platform migration). Experience in Gentrack Junifer application/… data models. Experience in building data warehouse data models. Proficient in SQL as both data extraction scripts and data loading scripts will be sql based. Experience working with Google BigQuery and Dataform environments. Experience in working collaboratively with a multitude of teams to meet the timelines and deliverables. What you’ll do Analyse Gentrack Junifer data models to understand More ❯

modelling, data warehousing, and advanced SQL query crafting. Skilled in ETL processes, preferably with tools like dbt and Sigma. Experienced with cloud platforms and database technologies, particularly GCP and BigQuery Python proficiency is desirable, but not mandatory. Experience working with AI, or interest in AI products. Here’s what your role will entail: Extract and integrate data from diverse More ❯

that unlock predictive insights and drive meaningful outcomes. What will I be doing? Design, build, and maintain automated data pipelines using Python and SQL across platforms like Databricks, Google BigQuery, and Airflow. Manage secure and efficient data ingestion from third-party APIs, ensuring reliability and scalability. Develop and optimise both normalised and denormalised data models for performance, usability, and … learning-focused culture. What do I need? Proficient in Python for data engineering workflows and advanced SQL for complex data manipulation. Hands-on experience with Airflow, Databricks, and Google BigQuery in managing scalable data pipelines. Highly skilled with APIs and transforming large datasets efficiently and securely. Strong understanding of data modelling (normalised and denormalised structures) and performance optimisation. Effective More ❯

using Tableau, Amplitude, and Google Sheets. Create clear, compelling reports that translate data into actionable business recommendations. Use Dataform to transform raw data into structured, usable datasets in our Bigquery data warehouse. Contribute to the development of source-of-truth data models. Maintain and optimize scalable data pipelines. Qualification & Experience Must haves: 3+ years in data analytics Strong proficiency More ❯

modelling, data warehousing, and advanced SQL query crafting. Skilled in ETL processes, preferably with tools like dbt and Sigma. Experienced with cloud platforms and database technologies, particularly GCP and BigQuery Python proficiency is desirable, but not mandatory. Experience working with AI, or interest in AI products. Here’s what your role will entail: Extract and integrate data from diverse More ❯

ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a More ❯

ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a More ❯

ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a More ❯

ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a More ❯

Nice to have Proficiency in Data Modelling, building high quality datasets and products Experience in Python Experience with DBT, Airflow, Dagster or similar tools Experience with Google Cloud Platform (BigQuery, Spark) Background in online trading or related financial sectors Benefits State-of-the-art technologies (Power BI, Metabase, BigQuery, Dagster, DBT, Datahub, Spark, Python, SQL) A collaborative and More ❯

each use case Support knowledge sharing and technical best practice Essential Experience: Proven expertise in building data warehouses and ensuring data quality on GCP Strong hands-on experience with BigQuery, Dataproc, Dataform, Composer, Pub/Sub Skilled in PySpark, Python and SQL Solid understanding of ETL/ELT processes Clear communication skills and ability to document processes effectively Desirable More ❯

each use case Support knowledge sharing and technical best practice Essential Experience: Proven expertise in building data warehouses and ensuring data quality on GCP Strong hands-on experience with BigQuery, Dataproc, Dataform, Composer, Pub/Sub Skilled in PySpark, Python and SQL Solid understanding of ETL/ELT processes Clear communication skills and ability to document processes effectively Desirable More ❯

ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a More ❯

Tool selection, cost management and team management Experience required: Experience in building and scaling BI and Data Architecture Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI etc Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow Experienced in Cloud based solutions (Azure, AWS or Google More ❯

making, leveraging cloud data services. Ensure data accuracy, integrity, and security within cloud environments. Key Skills & Experience: Proficiency in SQL and cloud data warehousing solutions (e.g., Amazon Redshift, Google BigQuery). Experience with cloud BI tools (e.g., Power BI, Tableau, Looker). Strong analytical and problem-solving skills focused on cloud data solutions. Knowledge of ETL processes and cloud More ❯

Tool selection, cost management, and team management. Experience required: Experience in building and scaling BI and Data Architecture. Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI, etc. Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow. Experience with Cloud-based solutions (Azure, AWS, or Google). #J More ❯

ThoughtSpot (beneficial) Familiarity with marketing platforms like GA4, Google Ads, Meta, Klaviyo,etc. Web Analytics experience Solid understanding of e-commerce metrics and attribution models Data warehouse exposure - Snowflake, BigQuery etc. Excel, Google Sheets Beneficial Experience Familiarity with Shopify or other e-commerce platform Fivetran, data engineering etc. GitHub Experience Business Analytics Effective verbal and written communication skills, demonstrating More ❯

Key Requirements 5+ years of experience in DevOps , Site Reliability Engineering , or Data Engineering roles. Deep expertise with AWS and GCP , including services like EC2, S3, Lambda, IAM, GKE, BigQuery, and more. Strong proficiency in infrastructure-as-code tools (e.g., Terraform , Pulumi , CloudFormation ). Extensive hands-on experience with Docker , Kubernetes , and CI/CD tools such as GitHub More ❯

data into clear, actionable insights Deliver proactive analysis that are commercially relevant and decision focussed Analytics Engineering & Data Modelling Develop and maintain well structured, scalable data models in Google BigQuery Apply analytics engineering best practices, including modular SQL development, version control and documentation Contribute to improving data quality and consistency by helping define and standardise key business metrics and More ❯

Key Requirements 5+ years of experience in DevOps , Site Reliability Engineering , or Data Engineering roles. Deep expertise with AWS and GCP , including services like EC2, S3, Lambda, IAM, GKE, BigQuery, and more. Strong proficiency in infrastructure-as-code tools (e.g., Terraform , Pulumi , CloudFormation ). Extensive hands-on experience with Docker , Kubernetes , and CI/CD tools such as GitHub More ❯

focus on backend technologies and building distributed services. Proficiency in one or more programming languages including Java, Python, Scala or Golang. Experience with columnar, analytical cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) and data processing frameworks like Apache Spark is essential. Experience with cloud platforms like AWS, Azure, or Google Cloud. Strong proficiency in designing, developing, and deploying microservices More ❯

and user guides,helping to enforce data management standards. Participate in agile ceremonies and provide occasional client interaction. Engage in DataOps practices and improve data delivery performance. GCP: GCS, BigQuery, GKE, Artifact Registry, Vertex AI, App Engine, Data Store, Secret Manager, Pub/Sub What do I need to bring with me? It is essential that your personal attributes … role you will need the following skills and experience: A minimum of 3 years relevant commercial experience with experience of scalable data pipelines using Argo on GKE, SQL on BigQuery, Python libraries like Pandas. Comfortable with APIs and Cloud storage systems. Experience with containerisation (Docker) and orchestration (Kubernetes). Familiarity with Terraform and data systems optimisation. Commitment to data More ❯

and user guides,helping to enforce data management standards. Participate in agile ceremonies and provide occasional client interaction. Engage in DataOps practices and improve data delivery performance. GCP: GCS, BigQuery, GKE, Artifact Registry, Vertex AI, App Engine, Data Store, Secret Manager, Pub/Sub What do I need to bring with me? It is essential that your personal attributes … role you will need the following skills and experience: A minimum of 3 years relevant commercial experience with experience of scalable data pipelines using Argo on GKE, SQL on BigQuery, Python libraries like Pandas. Comfortable with APIs and Cloud storage systems. Experience with containerisation (Docker) and orchestration (Kubernetes). Familiarity with Terraform and data systems optimisation. Commitment to data More ❯

years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for Azure/AWS, Jenkins More ❯