101 to 125 of 219 Permanent BigQuery Jobs

experience in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack Engineer They offer a More ❯

web or mobile app experiences. Excellent communication and stakeholder management. What Will Make You Stand Out: Proficiency in SQL and experience with cloud data platforms (e.g. Google Cloud Platform , BigQuery ). If interested please apply, to follow up on your application email or message me on LinkedIn. More ❯

t Expect You To Have Experience With All Of These) Python and Databricks Spark, MLFlow, and Airflow for ML Workflows Google Cloud Platform for our analytics infrastructure dbt and BigQuery for data modelling and warehousing Some examples of our data science work can be found in our engineering blog: Image catergorisation Moving to a A(/B) Bayesian World More ❯

with a multi-person engineering team, leveraging modern practices like code reviews, CI/CD, and trunk-based development. Experience in cloud ecosystems, particularly Google Cloud Platform services like BigQuery, Pub/Sub, or Cloud Functions. Required Skills/Abilities Proficiency in software development using modern programming languages like Python, Java, Go, or similar tools. Strong understanding of microservices More ❯

of S3, RDS, Kinesis, EC2, EMR, ElastiCache, ElasticSearch and EKS). Elements of the platform will start to expand into GCP (Compute Engine, Cloud Storage, Google Kubernetes Engine and BigQuery). Other significant tools of the platform include Linux, Terraform, Kubernetes, Docker, Packer, Ansible and Jenkins. We support applications and services written in Golang, Python, Java, Scala and .Net. More ❯

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 ❯

of innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights More ❯

of innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights More ❯

of innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights More ❯

of innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights More ❯

of innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights More ❯

of getting things done - and done well. *Current Stack* We work with a modern data stack, but we're open to evolving as we grow. Currently, that includes: Fivetran BigQuery dbt Lightdash Hex Heap Benefits 28 days holiday per annum + Bank holidays, with the option to roll up to 5 days per annum. Employee Share Options. Private Health 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 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 ❯

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 ❯

processes, and improve marketing workflows Requirements: Strong SQL (complex joins, CTEs, window functions) Experience with dbt, data visualisation (ThoughtSpot a bonus), GA4, Google Ads, Meta, Klaviyo Exposure to Snowflake, BigQuery, or Shopify is a plus A self-starter who enjoys problem-solving and making data accessible for non-technical teams Package & Setup: £55,000 salary Hybrid: 2 days per More ❯

processes, and improve marketing workflows Requirements: Strong SQL (complex joins, CTEs, window functions) Experience with dbt, data visualisation (ThoughtSpot a bonus), GA4, Google Ads, Meta, Klaviyo Exposure to Snowflake, BigQuery, or Shopify is a plus A self-starter who enjoys problem-solving and making data accessible for non-technical teams Package & Setup: £55,000 salary Hybrid: 2 days per More ❯

ongoing optimisation. Collaborate with cross-functional teams including product, design, and data science to deliver innovative, customer-focused solutions. Work with modern technologies such as Python, Django, Cloud Firestore, BigQuery, and Elasticsearch to deliver scalable, reliable software. Contribute to continuous improvement by identifying opportunities to enhance system architecture and code quality. Participate in code reviews, mentoring, and knowledge sharing More ❯

in SQL and reporting, and proven people management skills. Commercially sharp, confident in engaging with senior stakeholders, and able to explain complex ideas simply. Experience with cloud platforms (Google BigQuery, Looker, Data Studio) and customer or retail analytics would be a real advantage. Why apply? This is a chance to take a leadership role where data and insight are More ❯

on experience managing cloud providers, with significant experience in AWS and Google Cloud Platform (GCP). Familiarity with GCP services such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, BigQuery, and IAM. Familiarity with configuration management and IT automation tools. Strong understanding of DevOps and SRE principles. Soft Skills: Self-motivated, highly organised, and capable of driving initiatives from 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 ❯

uncover insights and opportunities for improvement. Analyze user and competitor research and summarize recommendations based on findings. Support strategy with analytics and reporting. Build dashboards using tools like GA, BigQuery, SQL and PowerBI. Partner with teams across the company to implement solutions and enhance user experience. Minimum Requirements This full-time, 12-week internship is open to Junior-status 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 ❯

leadership to define best practices, coding standards, and long-term technical strategy. Design, develop, and oversee the delivery of robust, production-grade software built using Python, Django, Cloud Firestore, BigQuery, and Elasticsearch. Mentor and guide engineers at all levels, fostering a culture of technical excellence and continuous improvement. Collaborate with cross-functional teams - including product, data, and design - to 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 ❯