1 to 25 of 37 BigQuery Jobs in Edinburgh

with strong analytical and problem-solving skills. Excellent communication and stakeholder engagement skills. Experience with cloud data platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery). Knowledge of data governance frameworks and data quality management. Competence in data modelling and database design techniques. Experience working in agile or hybrid More ❯

Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience 2+ years of More ❯

Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience 2+ years of More ❯

Product Owner or Data Product Owner in Agile environments. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong More ❯

Product Owner or Data Product Owner in Agile environments. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong More ❯

data platforms on Google Cloud Platform, with a focus on data quality at scale. Hands-on expertise in core GCP data services such as BigQuery, Composer, Dataform, Dataproc, and Pub/Sub. Strong programming skills in PySpark, Python, and SQL. Proficiency in ETL processes, data mining, and data storage More ❯

Extensive experience as a BI Developer/Analytics Engineer, specialising in Looker (dashboarding, advanced LookML). Strong SQL proficiency with cloud data warehouses (e.g., BigQuery ). Solid understanding of data warehousing and modelling. Proven background in marketing data and analytics (e.g., campaign performance, web analytics). Experience translating business More ❯

Google Cloud Platform (GCP): This includes a broad knowledge of core GCP services like Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, BigQuery, and networking components (VPC, Cloud DNS, etc.). A trainer should be able to go beyond the basics and explain the nuances of each More ❯

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 Designing Databricks based solutions for More ❯

solutions • In depth knowledge of the Snowflake platform and capabilities • Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous • Practical knowledge of GenAI and LLM offerings in the market • Skilled in working on large More ❯

in Advanced SQL, SSIS packages, Python, and Shell Scripting. Knowledge of ER Studio. Working knowledge of Google Cloud Platform components such as GCS buckets, BigQuery, Kafka, etc. * Free services are subject to limitations. #J-18808-Ljbffr More ❯

of experience in backend and data engineering, with strong system design skills Practical proficiency in cloud technologies (ideally GCP), with expertise in tools like BigQuery, Dataflow, Pub/Sub, or similar Hands-on experience with CI/CD tools (e.g., GitLab CI) and infrastructure as code A strong focus More ❯

on experience or strong theoretical knowledge of AI and GenAI techniques and methodologies. Familiarity with cloud AI platforms such as GCP Vertex AI and BigQuery, Azure AI, or similar enterprise-level AI deployment environments. Experience or knowledge of regulatory requirements and frameworks relevant to AI, such as the EU More ❯

de-normalised views and star schemas. Key Skills, Knowledge, and Experience: Proficiency in ER Studio. Knowledge of Google Cloud Platform components like GCS buckets, BigQuery, Kafka, etc. Experience with advanced SQL, SSIS packages, Python, and Unix Shell scripting. * Free services are subject to limitations. #J-18808-Ljbffr More ❯

of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would More ❯

throughput backend systems Experience with BI/reporting engines or OLAP stores Deep Ruby/Rails & ActiveRecord expertise Exposure to ClickHouse/Redshift/BigQuery Event-driven or stream processing (Kafka, Kinesis) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to More ❯

data infrastructure, ensuring seamless data flow and insightful analytics. Key Responsibilities: Design, develop, and maintain data pipelines using Google Cloud Platform (GCP) services like BigQuery, Cloud Storage, and Cloud Dataflow. Develop and maintain reports, dashboards, and visualizations using Power BI, ensuring data-driven insights for business stakeholders. Write efficient … scalability. Requirements: 5+ years of experience in data engineering, data analysis, or a related field. Strong experience with Google Cloud Platform (GCP) services, particularly BigQuery, Cloud Storage, and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing More ❯

Social network you want to login/join with: We’re a sports media network focused on building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners. We More ❯

their team and assist with the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Uncapped Progressions More ❯

Responsibilities: Design and build large-scale data warehouses, ETL pipelines, and reporting platforms that are robust and efficient. (Looking at going down Snowflake or BigQuery) Utilize your expertise in backend languages; the tech stack is flexible, including Java, Python, .NET, Ruby, and more. Implement strong coding principles, including CI More ❯

you’ll lead: Full strategic ownership of analytics across growth, health outcomes, customer journeys and commercial metrics Building and evolving the modern data stack (BigQuery, dbt, Fivetran, Looker, Hex – with full autonomy to optimise) Managing and growing a high-performing analytics team Driving business-wide decision-making through experimentation More ❯

Social network you want to login/join with: col-narrow-left Client: Robert Walters Location: edinburgh, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide More ❯

several high profile household name What you'll bring: Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more More ❯

changes: Provide Guidance on the potential effects of front end changes Perform analysis on data samples What we would like to see from you Bigquery experience as you will be working with large data sets and optimising queries for performance Experience navigating complex systems, understanding how various components interact More ❯

problems. And any experience of these would be really useful Familiarity with workforce planning, HR analytics, or organisational design. Experience working with GCP and BigQuery Knowledge of skills taxonomies or talent intelligence platforms. Prompt engineering skills, with the ability to design and refine prompts for generative AI tools to More ❯