51 to 75 of 176 Remote BigQuery Jobs

Solid SQL/BQ skills for data querying and manipulation. Extensive experience with Google Cloud Platform (GCP) AI/ML services is highly desirable (e.g. Vertex AI, Cloud Functions, BigQuery). Deep understanding of machine learning algorithms and techniques, including deep learning, natural language processing, computer vision, regression, classification, and clustering. Experience with evaluating and selecting different LLMs (Large More ❯

to expand their Data function, by bringing on a Senior Data Engineer on a contract basis - more info below: Senior Data Engineer: Tech stack - Python, SQL, ETL Pipelines, Airflow, BigQuery, Redshift, Snowflake, AWS/GCP Experience with event-stream and micro-batching data Experienced in Data Quality Assurance Experience with Data Warehouse Modelling Hybrid working in Central London - Monday More ❯

to expand their Data function, by bringing on a Senior Data Engineer on a contract basis - more info below: Senior Data Engineer: Tech stack - Python, SQL, ETL Pipelines, Airflow, BigQuery, Redshift, Snowflake, AWS/GCP Experience with event-stream and micro-batching data Experienced in Data Quality Assurance Experience with Data Warehouse Modelling Hybrid working in Central London - Monday More ❯

to expand their Data function, by bringing on a Senior Data Engineer on a contract basis - more info below: Senior Data Engineer: Tech stack - Python, SQL, ETL Pipelines, Airflow, BigQuery, Redshift, Snowflake, AWS/GCP Experience with event-stream and micro-batching data Experienced in Data Quality Assurance Experience with Data Warehouse Modelling Hybrid working in Central London - Monday More ❯

reliability, and resilience. Has strong programming skills with Python – essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts More ❯

reliability, and resilience. Has strong programming skills with Python – essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts More ❯

reliability, and resilience. Has strong programming skills with Python – essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts More ❯

Engineering, Growth, and Product, you'll ensure that data is reliable, unified, and readily accessible for both analytics and experimentation. Skills & Experience Strong expertise with Google Cloud Platform, especially BigQuery Proficient in SQL and Python Confident working with analytics engineering tools like dbt Senior Data Engineer Desired Skills and Experience GCP|dbt|Data Engineer More ❯

Engineering, Growth, and Product, you'll ensure that data is reliable, unified, and readily accessible for both analytics and experimentation. Skills & Experience Strong expertise with Google Cloud Platform, especially BigQuery Proficient in SQL and Python Confident working with analytics engineering tools like dbt Senior Data Engineer Desired Skills and Experience GCP|dbt|Data Engineer More ❯

Engineering, Growth, and Product, you'll ensure that data is reliable, unified, and readily accessible for both analytics and experimentation. Skills & Experience Strong expertise with Google Cloud Platform, especially BigQuery Proficient in SQL and Python Confident working with analytics engineering tools like dbt Senior Data Engineer Desired Skills and Experience GCP|dbt|Data Engineer More ❯

type checking/hinting. Version control: Git workflows (branching, PRs, tagging, semantic versioning). Google Cloud Platform (GCP): Hands-on experience with services like Vertex AI, Google Cloud Storage, BigQuery, Google Artifact Registry. GCP Professional Machine Learning Engineer or Associate Cloud Engineer certifications are a plus. ML model productionisation: Experience operationalising models on Google Cloud Platform or the internal More ❯

solutions. Tech stack and requirements: Python – must-have, with production-grade engineering expertise FastAPI – must-have, proven experience building APIs in production Google Cloud Platform (GCP) – must-have, ie BigQuery, Cloud Run, and Cloud Storage dbt – strong advantage, with scope to shape best practice Airflow/Composer – highly desirable for orchestration CI/CD – GitHub Actions (or similar) Salary More ❯

solutions. Tech stack and requirements: Python – must-have, with production-grade engineering expertise FastAPI – must-have, proven experience building APIs in production Google Cloud Platform (GCP) – must-have, ie BigQuery, Cloud Run, and Cloud Storage dbt – strong advantage, with scope to shape best practice Airflow/Composer – highly desirable for orchestration CI/CD – GitHub Actions (or similar) Salary More ❯

solutions. Tech stack and requirements: Python – must-have, with production-grade engineering expertise FastAPI – must-have, proven experience building APIs in production Google Cloud Platform (GCP) – must-have, ie BigQuery, Cloud Run, and Cloud Storage dbt – strong advantage, with scope to shape best practice Airflow/Composer – highly desirable for orchestration CI/CD – GitHub Actions (or similar) Salary More ❯

solutions. Tech stack and requirements: Python – must-have, with production-grade engineering expertise FastAPI – must-have, proven experience building APIs in production Google Cloud Platform (GCP) – must-have, ie BigQuery, Cloud Run, and Cloud Storage dbt – strong advantage, with scope to shape best practice Airflow/Composer – highly desirable for orchestration CI/CD – GitHub Actions (or similar) Salary More ❯

solutions. Tech stack and requirements: Python – must-have, with production-grade engineering expertise FastAPI – must-have, proven experience building APIs in production Google Cloud Platform (GCP) – must-have, ie BigQuery, Cloud Run, and Cloud Storage dbt – strong advantage, with scope to shape best practice Airflow/Composer – highly desirable for orchestration CI/CD – GitHub Actions (or similar) Salary More ❯

understanding of the software development lifecycle, from conception to deployment. Capable of conceptualizing and implementing software architectures spanning multiple technologies and platforms. Technology stack Python Flask Java Spring JavaScript BigQuery Redis ElasticSearch Airflow Google Cloud Platform Kubernetes Docker Voted "Best Places to Work," our culture is driven by self-starters, team players, and visionaries. Headquartered in Los Angeles, California More ❯

reliable pipelines, evolving their lakehouse/warehouse layers & enable fast, trustworthy analytics for multiple teams. Tech you'll be working with: AWS - including S3, Redshift, Athena & Glue Python GCP BigQuery BigQuery, Snowflake, Redshift, Airflow, dbt SQL Contract Details: Data Engineer 6 Months - extensions likely Fully Remote (UK) £(Apply online only)/day Outside IR35 ASAP Start - 1 stage More ❯

reliable pipelines, evolving their lakehouse/warehouse layers & enable fast, trustworthy analytics for multiple teams. Tech you'll be working with: AWS - including S3, Redshift, Athena & Glue Python GCP BigQuery BigQuery, Snowflake, Redshift, Airflow, dbt SQL Contract Details: Data Engineer 6 Months - extensions likely Fully Remote (UK) £400 - 450/day Outside IR35 ASAP Start - 1 stage Interviews More ❯

Terramate . Automation & Reliability: Implement and maintain self-healing, highly available architecture with a focus on Kubernetes (GKE) . Platform Support: Manage and optimise key platforms such as Airflow , BigQuery , and PostgreSQL clusters. Developer Experience: Enhance internal developer productivity through Coder remote dev environments, GitLab CI/CD pipelines, and observability tooling. Collaboration: Partner closely with Data Engineering, Trading More ❯

Terramate . Automation & Reliability: Implement and maintain self-healing, highly available architecture with a focus on Kubernetes (GKE) . Platform Support: Manage and optimise key platforms such as Airflow , BigQuery , and PostgreSQL clusters. Developer Experience: Enhance internal developer productivity through Coder remote dev environments, GitLab CI/CD pipelines, and observability tooling. Collaboration: Partner closely with Data Engineering, Trading More ❯

or related domains is highly desirable. Preferred Experience Engineering team lead experience Experience working on multiple projects at the same time Experience with big data analytical systems such as BigQuery, Redshift, Snowflake, Databricks, SingleStore, etc. Experience working with vulnerability scanning technologies on any part of the tech stack (e.g., SCA, SAST, DAST, IAST, VM Scanning, Container, etc.) Experience maintaining More ❯

We are currently looking for a Senior Client Insight Analyst to join our Insight Team and are keen to hear from experienced data and insight specialists looking to further their career. As a Senior Client Insight Analyst, you'll be More ❯

of stakeholders to ensure the company are making Data driven decisions. Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP Tech Stack: Python & SQL DBT, AirFlow & BigQuery AWS/GCP ETL Pipelines Base salary of £90k-£115k depending on skills and experience Excellent overall package including a sizeable bonus and stock options Hybrid working in Central More ❯

of stakeholders to ensure the company are making Data driven decisions. Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP Tech Stack: Python & SQL DBT, AirFlow & BigQuery AWS/GCP ETL Pipelines Base salary of £90k-£115k depending on skills and experience Excellent overall package including a sizeable bonus and stock options Hybrid working in Central More ❯