176 to 200 of 299 BigQuery Jobs

with the ability to effectively present findings to both technical and non-technical stakeholders. Experience of A/B testing, experience in running retailed-based tool analytics Experience of BigQuery is desirable Benefits Pension company contribution = 3% Incentive scheme up to 10% of annual salary , based on company performance. Your wellbeing is paramount so you can get away and More ❯

preferred Minimum 7 years of experience in data management and analytics (or related fields) Passionate about the Data world Proficiency in data analysis and reporting tools such as SQL, BigQuery, PowerBI Experience in using or implementing a Data Catalog tool Professional rigor, method, and organization Pragmatism and a sense of commitment Autonomy and ability to work in a team More ❯

and Build: Design and implement a robust, cloud-native data analytics platform spanning AWS, GCP, and other emerging cloud environments. You'll leverage services like S3/GCS, Glue, BigQuery, Pub/Sub, SQS/SNS, MWAA/Composer, and more to create a seamless data experience. (Required) Data Lake , Data Zone, Data Governance: Design, build, and manage data More ❯

who are willing to relocate) GCP Data Engineer - GCP Dataflow and Apache Beam (Key skills) Primary Skills- PySpark, Spark, Python, Big Data, GCP, Apache Beam, Dataflow, Airflow, Kafka and BigQuery GFO, Google Analytics Javascript is Must Strong Experience with Dataflow and BigQuery A person should have leading the team or responsible for team as a lead or senior … Cloud Platforms (preferably GCP) provided Big Data technologies Hands-on experience with real-time streaming processing as well as high volume batch processing, and skilled in Advanced SQL, GCP BigQuery, Apache Kafka, Data-Lakes, etc. Hands-on Experience in Big Data technologies - Hadoop, Hive, and Spark, and an enterprise-scale Customer Data Platform (CDP) Experience in at least one … programming language (Python strongly preferred), cloud computing platforms (e.g., GCP), big data tools such as Spark/PySpark, columnar datastores (BigQuery preferred), DevOps processes/tooling (CI/CD, GitHub Actions), infrastructure as code frameworks (Terraform), BI Tools (e.g. DOMO, Tableau, Looker,), pipeline orchestration (eg. Airflow) Fluency in data science/machine learning basics (model types, data prep, training More ❯

future-state data strategies. As part of this role, you will be responsible for: Leading technical solution design and delivery for large-scale data platform projects using GCP and BigQuery Supporting pre-sales engagements by translating client requirements into technical solutions Take ownership of cloud migration and data platform modernization strategies Undertake data modelling tasks with a focus on More ❯

future-state data strategies. As part of this role, you will be responsible for: Leading technical solution design and delivery for large-scale data platform projects using GCP and BigQuery Supporting pre-sales engagements by translating client requirements into technical solutions Take ownership of cloud migration and data platform modernization strategies Undertake data modelling tasks with a focus on More ❯

Technical Lead for cloud data projects (GCP preferred) Strong understanding of Agile/Scrum, DevOps, CI/CD, and cloud-native delivery models Familiarity with GCP services such as BigQuery, Dataflow, Cloud Composer, and Pub/Sub Knowledge of modern data architectures including lakehouse, ELT, and schema design Awareness of compliance frameworks such as GDPR, HIPAA, and RBAC Excellent More ❯

Technical Lead for cloud data projects (GCP preferred) Strong understanding of Agile/Scrum, DevOps, CI/CD, and cloud-native delivery models Familiarity with GCP services such as BigQuery, Dataflow, Cloud Composer, and Pub/Sub Knowledge of modern data architectures including lakehouse, ELT, and schema design Awareness of compliance frameworks such as GDPR, HIPAA, and RBAC Excellent 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 ❯

solutions. Experience with front-end development (React/JavaScript) and DevOps/maintenance tasks. Proficiency in building Agentic systems and multi-agent architectures. ETL and data management experience (Postgres, BigQuery, Azure, Snowflake). Ability to design solutions, validate requirements and anticipate risks independently. Experience coordinating with multiple engineering and product teams. Preferred Qualifications: Experience in graph databases and advanced More ❯

for 5+ years across Data/Software Engineering, Data Analysis. SQL & Python: schema design, transformations, query optimisation, automation, testing. Track record of buildingETL/ELT pipelines into modern warehouses (BigQuery, Snowflake, Redshift). Familiar with tools like Dagster, Airflow, Prefect, dbt, Dataform, SQLMesh. Cloud experience (we're on GCP) + containerisation (Docker, Kubernetes). Strong sense of ownership over More ❯

project and lead a talented data engineering team at a fast-growing, tech-driven business. Why this role? Lead the migration of an existing Azure data warehouse to Google BigQuery , creating a scalable, modern platform to power analytics, BI, and data science. Join a collaborative, people-first culture that's been recognised as a Great Place to Work for … working model: South London office 1-3 days per week , balanced with flexibility to work from home. What you'll be doing: Own the end-to-end migration to BigQuery, working with both internal teams and implementation partners. Define and evolve the data platform strategy, governance, and roadmap. Manage and mentor a team of data engineers, fostering excellence and … innovative, secure, and robust. What we're looking for: 5+ years' experience in data engineering, warehousing, or platform leadership. Proven track record of delivering large-scale data warehouse migrations (BigQuery experience strongly preferred). Hands-on expertise with SQL, Python, Airflow, DBT/Dataform, Terraform , and modern data architecture. Strong leadership and stakeholder management skills. Experience driving complex data More ❯

Technical Expertise Deep expertise in AWS and GCP cloud services, covering storage, compute, data processing, analytics, and serverless platforms (e.g., AWS S3/Redshift/Glue/Lambda, GCP BigQuery/Cloud Storage/Dataflow/Cloud Functions) Strong proficiency in SQL, Python, and data modeling for analytical and operational use cases Hands-on experience with production-grade ETL … and workflow orchestration (e.g., Airflow, dbt, Talend, AWS Glue, GCP Dataform/Cloud Composer) Proven ability to design, deploy, and optimize data warehouses and lakehouse architectures using technologies like BigQuery, Redshift, Snowflake, and Databricks Experience with Infrastructure as Code tools (e.g., Terraform, AWS CloudFormation, GCP Deployment Manager) for cloud resource provisioning and management Proficiency with CI/CD pipelines 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 ❯

startup and managing ambiguity • Good understanding of authentication and authorisation (we currently use NextAuth/JWT) • Experience with Google Cloud Platform • Understanding of PostgreSQL and data modelling • Exposure to BigQuery would be beneficial • Exposure to Infrastructure as Code tools such as Terraform At ASK BOSCO® , everybody is invited with open arms. We believe that fostering an inclusive and fair More ❯

startup and managing ambiguity • Good understanding of authentication and authorisation (we currently use NextAuth/JWT) • Experience with Google Cloud Platform • Understanding of PostgreSQL and data modelling • Exposure to BigQuery would be beneficial • Exposure to Infrastructure as Code tools such as Terraform At ASK BOSCO , everybody is invited with open arms. We believe that fostering an inclusive and fair More ❯

startup and managing ambiguity • Good understanding of authentication and authorisation (we currently use NextAuth/JWT) • Experience with Google Cloud Platform • Understanding of PostgreSQL and data modelling • Exposure to BigQuery would be beneficial • Exposure to Infrastructure as Code tools such as Terraform At ASK BOSCO® , everybody is invited with open arms. We believe that fostering an inclusive and fair More ❯

startup and managing ambiguity • Good understanding of authentication and authorisation (we currently use NextAuth/JWT) • Experience with Google Cloud Platform • Understanding of PostgreSQL and data modelling • Exposure to BigQuery would be beneficial • Exposure to Infrastructure as Code tools such as Terraform Ready to shape the future of AI-driven marketing? Join us at ASK BOSCO and bring your More ❯

startup and managing ambiguity • Good understanding of authentication and authorisation (we currently use NextAuth/JWT) • Experience with Google Cloud Platform • Understanding of PostgreSQL and data modelling • Exposure to BigQuery would be beneficial • Exposure to Infrastructure as Code tools such as Terraform Ready to shape the future of AI-driven marketing? Join us at ASK BOSCO and bring your More ❯

startup and managing ambiguity • Good understanding of authentication and authorisation (we currently use NextAuth/JWT) • Experience with Google Cloud Platform • Understanding of PostgreSQL and data modelling • Exposure to BigQuery would be beneficial • Exposure to Infrastructure as Code tools such as Terraform Ready to shape the future of AI-driven marketing? Join us at ASK BOSCO and bring your More ❯

startup and managing ambiguity • Good understanding of authentication and authorisation (we currently use NextAuth/JWT) • Experience with Google Cloud Platform • Understanding of PostgreSQL and data modelling • Exposure to BigQuery would be beneficial • Exposure to Infrastructure as Code tools such as Terraform Ready to shape the future of AI-driven marketing? Join us at ASK BOSCO® and bring your More ❯

startup and managing ambiguity Good understanding of authentication and authorisation (we currently use NextAuth/JWT) Experience with Google Cloud Platform Understanding of PostgreSQL and data modelling Exposure to BigQuery would be beneficial Exposure to Infrastructure as Code tools such as Terraform Ready to shape the future of AI-driven marketing? Join us at ASK BOSCO and bring your More ❯

startup and managing ambiguity Good understanding of authentication and authorisation (we currently use NextAuth/JWT) Experience with Google Cloud Platform Understanding of PostgreSQL and data modelling Exposure to BigQuery would be beneficial Exposure to Infrastructure as Code tools such as Terraform Ready to shape the future of AI-driven marketing? Join us at ASK BOSCO and bring your More ❯

startup and managing ambiguity Good understanding of authentication and authorisation (we currently use NextAuth/JWT) Experience with Google Cloud Platform Understanding of PostgreSQL and data modelling Exposure to BigQuery would be beneficial Exposure to Infrastructure as Code tools such as Terraform Ready to shape the future of AI-driven marketing? Join us at ASK BOSCO and bring your More ❯