51 to 75 of 109 Permanent BigQuery Jobs

Strong experience (typically 5+ years) in data engineering roles Advanced skills in Python and SQL Hands-on experience with Databricks, Azure, and GCP/BigQuery Proven ability to work across both legacy systems and modern cloud environments Key Skills DevOps mindset you automate wherever possible and write clean, testable ...

Strong experience (typically 5+ years) in data engineering roles Advanced skills in Python and SQL Hands-on experience with Databricks, Azure, and GCP/BigQuery Proven ability to work across both legacy systems and modern cloud environments Key Skills DevOps mindset – you automate wherever possible and write clean, testable ...

different types of technical work within the same week Nice to have Experience working within a D2C or subscription e-commerce business Familiarity with BigQuery, Looker Studio and Fivetran or similar data stack tooling Understanding of paid media tracking, attribution and analytics integrations The role will be well remunerated ...

Your Skills and Experience Strong experience in an Analytics Engineer or Data-focused role, working with modern data stacks Hands-on expertise with Google BigQuery Proven experience using dbt to build and manage transformation layers Solid understanding of dimensional modelling and building analytics-ready datasets (e.g. star schema) Experience ...

interacting with key stakeholder Data modelling techniques - e.g. DataVault, Kimball etc. Strong experience in SQL/Python Data Cloud Tech experience - e.g. Snowflake/BigQuery/Databricks Data transformation experience using DBT THE BENEFITS: You will receive a salary, dependent on experience. Salary ...

interacting with key stakeholder Data modelling techniques - e.g. DataVault, Kimball etc. Strong experience in SQL/Python Data Cloud Tech experience - e.g. Snowflake/BigQuery/Databricks Data transformation experience using DBT THE BENEFITS: You will receive a salary, dependent on experience. Salary ...

interacting with key stakeholder Data modelling techniques - e.g. DataVault, Kimball etc. Strong experience in SQL/Python Data Cloud Tech experience - e.g. Snowflake/BigQuery/Databricks Data transformation experience using DBT THE BENEFITS: You will receive a salary, dependent on experience. Salary ...

Strong scripting skills (Python, Bash, or PowerShell) Experience with Kafka or similar streaming platforms Experience with Databricks or modern data platforms (e.g. Snowflake, Synapse, BigQuery) Strong understanding of data pipelines and distributed systems Focus on automation, scalability, and reliability Nice to Have Lakehouse or large-scale data platform experience ...

position Expert-level Databricks, Azure and SQL/Python Proven track record of refactoring legacy estates onto modern platforms without breaking things GCP and BigQuery experience is a strong advantage High EQ, comfortable presenting to leadership and managing non-technical stakeholders A software engineering mindset, not a scripting ...

document technical data requirements, prioritise these within a backlog and map business processes that underpin them Deep understanding of a modern data stack (preferably BigQuery, Looker, ETL/ELT pipelines). You should be comfortable discussing data schemas and lineage Experience in a fast-paced Retail or Wholesale environment ...

Platform (GCP) Solutions Google Cloud Platform (GCP) – compute, networking, serverless, containers Vertex AI, GenAI, AI/ML Platforms – advanced AI solutions and managed services BigQuery & Data Analytics – data warehouses, analytics pipelines Anthos, Kubernetes & Cloud Infrastructure modernisation Security, governance, and compliance tooling Integration with Google Workspace and collaboration platforms Searce ...

TypeScript, Java, Golang, Rust, Python and others). Confident operating at senior leadership level and influencing across functions. Desirable: Google Cloud Platform including BigQuery & AI Platform. Bayesian statistics. Agent based simulation and reinforcement learning The interview journey: 1st stage interview with two engineers from the team. Tech challenge ...

TypeScript, Java, Golang, Rust, Python and others). Confident operating at senior leadership level and influencing across functions. Desirable Google Cloud Platform including BigQuery & AI Platform. Bayesian statistics. Agent based simulation and reinforcement learning. The Interview Journey 1st stage interview with two engineers from the team. Tech challenge ...

community-led mobile games Experience with no-code, low-code platforms such as Retool. Experience with popular web scraping methods. Experience with PostgreSQL and BigQuery HOW WE WORK We’re a small team, so we move fast and experiment often We believe in creative exchange and collaborative ownership ...

Services and Retail Media What we need Strong analytical background, complex SQL plus Python Experience leading analytical teams Experience with cloud platforms (Databricks, Snowflake, BigQuery or similar) Loyalty and customer analytics experience Solid grasp of stats (hypothesis testing, confidence intervals, p-values) Familiar with Jira/Confluence Commercially-minded ...

clearly to the executive team. What They’re Looking For Strong statistical and mathematical background Confident sourcing, cleaning, and manipulating data independently (Python, SQL, BigQuery). Excellent with Power BI or similar for dashboarding and storytelling. Experience building predictive models from scratch Someone curious, analytical, and genuinely passionate about ...

automation and AI-enabled tooling Your Skills & Experience Strong data and analytics engineering fundamentals within a modern cloud data stack Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar Solid data modelling capability for analytics and reporting use cases Hands-on experience with infrastructure ...

problems into structured analysis and actionable recommendations Strong analytical and problem-solving skills, with experience working with large and complex datasets Proficiency in SQL (BigQuery a plus), Excel, and data visualisation tools Strong communication and storytelling skills, with experience presenting insights and influencing decision-making Comfortable managing multiple priorities ...

production-grade Python services, batch and streaming pipelines, and scheduled workflows Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management Establish reliability … typed, and tested code Track record productionizing ML models in batch and/or real-time environments Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar) Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM Infrastructure-as-Code experience ...

analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We ENABLE hybrid cloud transformation – You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We INNOVATE with AI-driven data solutions – You will … designing, implementing and managing cloud-based architectures such as AWS, Azure or GCP, and hands-on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others.* Certifications & Technical Depth: At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures.* Infrastructure & Automation: Proficiency ...

cost Collaborate with cross-functional teams to deliver robust solutions What we’re looking for: Strong experience with GCP services (Compute Engine, GKE, BigQuery, etc.) Proficiency in Infrastructure as Code (Terraform preferred) Experience with containerization (Docker/Kubernetes) Solid understanding of cloud security and best practice Bonus points ...

where relevant) Architecture & Data: REST APIs, Entity Framework Cloud: Experience with, or a strong desire to learn, Google Cloud services (e.g. Pub/Sub, BigQuery, Cloud Storage) Desirable skills Database: Microsoft SQL Server Frontend extras: Blazor, Bootstrap DevOps: CI/CD pipelines and tools (e.g. Azure DevOps, Octopus Deploy ...

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 ...

Build extraction and enrichment pipelines using modern LLMs Architect scalable retrieval and data pipelines in a GCP environment Work with analytical platforms such as BigQuery (or similar) What they're looking for Strong experience building and scaling production-grade search or retrieval systems Proven ability to design search architectures ...

this role offers real ownership and influence. The Role - Data Engineer Designing a greenfield data platform – building and shaping our modern data stack (e.g. BigQuery, Airbyte), moving beyond standalone SQL Server environments. Leading integrations – supporting our NetSuite migration and creating scalable data frameworks for future acquisitions. Modernising legacy systems … migrations Expert-level SQL/T-SQL with proven experience refactoring and optimising complex logic Hands-on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/ ...