51 to 75 of 475 Permanent BigQuery Jobs

successful Data Engineering Lead will have the following skills and experience: Strong SQL and Python skills Experience working with cloud data warehouses, ideally BigQuery Knowledge of dbt or similar transformation frameworks Experience building and maintaining data pipelines and ETL/ELT processes Exposure to BI and dashboarding tools, particularly ...

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: 5+ years ...

scientist, analytics engineer, or quantitative analyst, ideally at a fintech, payments, marketplace, or consumer tech company. Strong SQL. You can navigate large, messy warehouses (BigQuery, Snowflake, Redshift, or similar) and write performant, readable queries. Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least ...

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 ...

their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses ...

working rather than something you've picked up Substantial experience with a modern lakehouse or warehouse platform — Databricks ideally, or Snowflake/BigQuery — including the performance, cost and governance decisions that come with running one at scale Real production experience with Fivetran, dbt, or equivalent ingestion and transformation tooling ...

expanding its AI and machine learning capabilities. Working alongside an experienced data consultancy, we are building a greenfield analytics platform using technologies such as BigQuery, Snowflake, dbt, Looker and Omni. As our Data & Analytics Engineer, you will play a pivotal role in shaping the platform from the ground … control Experience designing and building modern data pipelines and Lakehouse architectures Hands-on experience with at least one enterprise-grade data platform (e.g., Google BigQuery, Snowflake, Databricks, or equivalent) Familiarity with cloud services and deployment automation (e.g., GCP, AWS, Terraform, CI/CD, Git) Ability to deliver clear, insightful ...

days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving ...

days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving ...

days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving ...

days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving ...

data governance, reporting accuracy, security, and best practice, Excellent attention to detail and the ability to manage multiple projects simultaneously. Experience with Google BigQuery, Azure, Python, R, or a broader understanding of business functions such as sales, inventory, operations, and financial KPI reporting would be highly advantageous. ...

through delivery and adoption Have advanced SQL skills and experience querying large datasets accurately and efficiently Have experience with cloud data platforms such as BigQuery, Google Cloud Platform or AWS Build dashboards, reporting products and self-serve insight tools Understand data modelling, ETL/ELT processes and data quality ...

language such as Python for API development, data engineering and automation tasks A background in working with storage solutions such as PostgreSQL, MySQL, and BigQuery Experience in API development using tools such as FastAPI or Flask , enabling data access and integration across systems Solid knowledge of cloud platforms ...

teams to deliver joined‐up solutions. Contribute to technical hiring, onboarding and team capability development. What You’ll Bring Deep experience with GCP, particularly BigQuery, Dataflow, Pub/Sub, Cloud Storage and Cloud Composer/Airflow. Advanced Python and SQL skills with a strong software engineering mindset. Proven experience ...

technical hiring, onboarding and team capability development. What Youll Bring Strong senior/lead-level experience in data engineering. Deep experience with GCP, particularly BigQuery, Dataflow, Pub/Sub, Cloud Storage and Cloud Composer/Airflow. Advanced Python and SQL skills with a strong software engineering mindset. Proven experience ...

Core/Cloud). Strong proficiency in SQL and good understanding of data modelling patterns. Experience with a modern cloud data warehouse (Snowflake, BigQuery etc). Experience with version control using Git. Good communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders. ...

related technical discipline. Preferred Qualifications: To support our strategic roadmap, we would value hands‐on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks ...

related technical discipline.## **Preferred Qualifications:*** ## To support our strategic roadmap, we would value hands-on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks ...

transformation pipelines. Experience building reliable ingestion or integration workflows, event-driven services or messaging-based systems. Familiarity with cloud data platforms such as Snowflake, BigQuery, Redshift or Databricks, or with BI and semantic-layer concepts. Experience working with multi-tenant systems, row-level access controls, PII or GDPR-sensitive ...

agentic frameworks, and machine learning principles to generate conversational analytics, predictive and advanced marketing insights. Comfortable working in modern cloud data environments (e.g., Snowflake, BigQuery, Databricks, Fabric). Understanding the data structures and reporting capabilities within major marketing and martech platforms (e.g., Adobe Campaign/AJO, Salesforce Marketing Cloud ...

make data-driven decisions and drive customer and commercial initiatives. The role requires strong SQL and data warehousing knowledge, hands-on experience with BigQuery and Power BI, and Python or R proficiency for automation and integration. #J-18808-Ljbffr ...

into technical solutions. Excellent communication and stakeholder management skills. Desirable Skills Experience with one or more of the following: Google AppSheet Google Apps Script BigQuery Looker Studio Microsoft Power Platform Power BI ServiceNow CMDB Remedy CMDB Python JavaScript ETL and Data Integration tools ITSM & CMDB Knowledge ITIL Foundation ...

Waterfall delivery methodologies and scoping Minimum Viable Products (MVPs). Desirable: Cloud Platforms: Hands-on experience deploying data science solutions on Google Cloud Platform (BigQuery, Vertex AI, GCP storage) or AWS/Azure. Advanced Data Science Techniques: Exposure to advanced methods such as Natural Language Processing (NLP), deep learning ...

toolset to utilize on client business, including data visualisation technologies (Power BI, Tableau, Datorama), reporting tools (Microsoft Excel, Looker Studio), data warehouse tools (Google BigQuery), measurement platforms (Google Campaign Manager and Google Analytics) and Effectiveness partners (both within WPP and externally) Develop effective partnerships with key stakeholders within clients ...