76 to 100 of 311 BigQuery Jobs

and lineage. Drive CI/CD practices using GitHub Actions or similar tools. Collaborate with cross-functional teams to improve platform capabilities and analytics maturity. Requirements: Proven experience in BigQuery and dbt/dataform for data warehousing and transformation. Strong SQL skills and understanding of modern data architecture principles. Hands-on experience with Tableau for enterprise-grade dashboard development. More ❯

to define and implement data models and storage strategies. DATA ENGINEER – ESSENTIAL SKILLS: Proven experience as a Data Engineer, Data Developer, or similar role. Strong experience with GCP (e.g. BigQuery, Cloud Storage, Dataflow) and other cloud-based data solutions. Proficiency in Python for scripting and data transformation. Hands-on experience with PostgreSQL and MongoDB. Solid understanding of ETL/ More ❯

to define and implement data models and storage strategies. DATA ENGINEER - ESSENTIAL SKILLS: Proven experience as a Data Engineer, Data Developer, or similar role. Strong experience with GCP (e.g. BigQuery, Cloud Storage, Dataflow) and other cloud-based data solutions. Proficiency in Python for scripting and data transformation. Hands-on experience with PostgreSQL and MongoDB. Solid understanding of ETL/ More ❯

starter mindset with the ability to work independently and solve complex problems Experience working within a start-up environment Nice to have: Experience with modern data warehouses (e.g. Snowflake, BigQuery) Exposure to vector databases (e.g. Qdrant) Understanding of data needs for ML training Background or interest in cybersecurity , compiled languages (C/C Rust), or binary analysis 🌟 Why You More ❯

starter mindset with the ability to work independently and solve complex problems Experience working within a start-up environment Nice to have: Experience with modern data warehouses (e.g. Snowflake, BigQuery) Exposure to vector databases (e.g. Qdrant) Understanding of data needs for ML training Background or interest in cybersecurity , compiled languages (C/C Rust), or binary analysis 🌟 Why You More ❯

of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

to deliver end-to-end data products. Mentor mid-level analysts and help strengthen capability across the Commercial Ops analytics team. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. Location: This is a hybrid role based in Nuneaton, with the requirement to be in the office at least two days per week. The Person What More ❯

at . Role and Responsibility - Required Skills & Qualifications 12+ years of experience in data engineering or data platform development. Strong hands-on experience with Google Cloud Platform (GCP) - especially BigQuery, Cloud Storage, Dataproc, Pub/Sub, and Composer (Airflow). Expertise in Python and SQL for ETL, data transformation, and orchestration. Experience with Apache Airflow DAG development and scheduling More ❯

Tag Manager and Google Analytics (GA4), with a strong understanding of event-based tracking, data layers, and tagging structures for web and app. Advanced SQL and strong experience with BigQuery and Databricks. Strong experience with data visualisation tools, preferably Tableau or Looker. Proficiency in Python for data analysis is a strong plus. Experience with advanced analytics techniques, such as More ❯

testing , including JUnit . Mindset: Excellent communication skills and a commitment to continuous learning in a collaborative Agile environment. Good to Have: Experience with GCP Data Services such as BigQuery, Spanner, Cloud Composer, or Dataflow . Exposure to Generative AI tools like LangChain, LangGraph , or similar frameworks; an interest in agentic AI solutions is a plus. Skill Matrix: SkillHands More ❯

Strong SQL skills and mastery of Dataform , with experience designing clean, performant, and modular data models supporting attribution and funnel analysis. Deep experience with Google Cloud Platform (GCP) , particularly BigQuery , including cost- and performance-optimized schema design. Advanced knowledge of Customer Data Platforms (Segment.io) , including event stream management, identity resolution, and building a "Golden Profile." Hands-on experience designing More ❯

specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages, including experience with ML frameworks (TensorFlow, PyTorch, etc.). Familiarity with regulatory environments in More ❯

specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages, including experience with ML frameworks (TensorFlow, PyTorch, etc.). Familiarity with regulatory environments in More ❯

s GCP infrastructure — networking, IAM, security, and “everything as code” using Terraform/Terramate Developing a self-healing architecture with GKE (Kubernetes) at its core Supporting key platforms: Airflow, BigQuery, PostgreSQL clusters Enhancing developer experience through GitLab CI/CD, Coder remote environments, and a modern observability stack (Prometheus, Grafana, Mimir) Driving automation and reliability across infrastructure and pipelines More ❯

s GCP infrastructure — networking, IAM, security, and “everything as code” using Terraform/Terramate Developing a self-healing architecture with GKE (Kubernetes) at its core Supporting key platforms: Airflow, BigQuery, PostgreSQL clusters Enhancing developer experience through GitLab CI/CD, Coder remote environments, and a modern observability stack (Prometheus, Grafana, Mimir) Driving automation and reliability across infrastructure and pipelines More ❯

Angular. Testing: Strong background in automated testing and quality assurance practices. Mindset: Demonstrated commitment to continuous learning and excellent communication skills. Good to have- GCP Data Services: Experience with BigQuery, Spanner, Cloud Composer, or Dataflow. Generative AI: Exposure to LangChain, LangGraph, or similar tools; interest in building agentic solutions. More ❯

Angular. Testing: Strong background in automated testing and quality assurance practices. Mindset: Demonstrated commitment to continuous learning and excellent communication skills. Good to have- GCP Data Services: Experience with BigQuery, Spanner, Cloud Composer, or Dataflow. Generative AI: Exposure to LangChain, LangGraph, or similar tools; interest in building agentic solutions. More ❯

managing data strategy for a high-growth Financial Services or FinTech firm. A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills More ❯

managing data strategy for a high-growth Financial Services or FinTech firm. A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills More ❯

Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A consultancy mindset – adaptable, collaborative, and delivery-focused Apply now or contact Bright Purple to find out more about this opportunity with one of the UK’s most More ❯

Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A consultancy mindset – adaptable, collaborative, and delivery-focused Apply now or contact Bright Purple to find out more about this opportunity with one of the UK’s most More ❯

Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A consultancy mindset adaptable, collaborative, and delivery-focused The details Location: Edinburgh 2 days onsite per week Duration: 3 months initially Day Rate: c.£500/day IR35 More ❯

Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A consultancy mindset adaptable, collaborative, and delivery-focused The details Location: Edinburgh 2 days onsite per week Duration: 3 months initially Day Rate: c.£500/day IR35 More ❯

Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A consultancy mindset – adaptable, collaborative, and delivery-focused The details Location: Edinburgh – 2 days onsite per week Duration: 3 months initially Day Rate: c.£500/day IR35 More ❯