1 to 25 of 34 Remote BigQuery Jobs in the South East

and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration More ❯

Looking For: 0–2 years of experience in data engineering, analytics, or software development (internships and projects count!). Solid Python and SQL skills. Familiarity with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer, etc.) . Understanding of ETL/ELT processes and database fundamentals. A motivated, proactive mindset with a strong desire to learn and More ❯

Looking For: 0–2 years of experience in data engineering, analytics, or software development (internships and projects count!). Solid Python and SQL skills. Familiarity with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer, etc.) . Understanding of ETL/ELT processes and database fundamentals. A motivated, proactive mindset with a strong desire to learn and More ❯

Looking For: 0–2 years of experience in data engineering, analytics, or software development (internships and projects count!). Solid Python and SQL skills. Familiarity with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer, etc.) . Understanding of ETL/ELT processes and database fundamentals. A motivated, proactive mindset with a strong desire to learn and More ❯

in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building More ❯

in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building More ❯

engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologiesAnalytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration More ❯

product development. Translate business requirements into scalable technical solutions that support critical client outcomes. Analytics Engineering Leaders: Architect and optimise data pipelines, ELT workflows, and cloud warehouse platforms (Snowflake, BigQuery, Redshift). Lead teams working with dbt, SQL, Python, and Airflow to drive data transformation at scale. Ensure data governance, quality, and modelling standards are upheld across solutions. Work More ❯

product development. Translate business requirements into scalable technical solutions that support critical client outcomes. Analytics Engineering Leaders: Architect and optimise data pipelines, ELT workflows, and cloud warehouse platforms (Snowflake, BigQuery, Redshift). Lead teams working with dbt, SQL, Python, and Airflow to drive data transformation at scale. Ensure data governance, quality, and modelling standards are upheld across solutions. Work More ❯

product development. Translate business requirements into scalable technical solutions that support critical client outcomes. Analytics Engineering Leaders: Architect and optimise data pipelines, ELT workflows, and cloud warehouse platforms (Snowflake, BigQuery, Redshift). Lead teams working with dbt, SQL, Python, and Airflow to drive data transformation at scale. Ensure data governance, quality, and modelling standards are upheld across solutions. Work More ❯

Experience with data integration tools and technologies (e.g. DLT, Meltano, APIs, Kafka). Knowledge of cloud platforms such as AWS. Familiarity with modern data platforms (e.g. Databricks, Snowflake, or BigQuery). Strong communication and collaboration skills. Proven experience in data engineering or data platform development. BENEFITS Private Medical Care: Access to premium healthcare facilities and professionals. Health Cash Plan More ❯

Experience with data integration tools and technologies (e.g. DLT, Meltano, APIs, Kafka). Knowledge of cloud platforms such as AWS. Familiarity with modern data platforms (e.g. Databricks, Snowflake, or BigQuery). Strong communication and collaboration skills. Proven experience in data engineering or data platform development. BENEFITS Private Medical Care: Access to premium healthcare facilities and professionals. Health Cash Plan More ❯

Experience with data integration tools and technologies (e.g. DLT, Meltano, APIs, Kafka). Knowledge of cloud platforms such as AWS. Familiarity with modern data platforms (e.g. Databricks, Snowflake, or BigQuery). Strong communication and collaboration skills. Proven experience in data engineering or data platform development. BENEFITS Private Medical Care: Access to premium healthcare facilities and professionals. Health Cash Plan More ❯

Data Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable More ❯

Data Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement scalable More ❯

in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building More ❯

in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building More ❯

Profile Essential experience: Experience in data engineering, with a strong focus on Google Cloud Platform (GCP)-based solutions. Proficiency in the GCP platform, particularly in Data & AI services (e.g., BigQuery, DataProc, Cloud SQL, DataFlow, Pub/Sub, Cloud Data Fusion, Cloud Composer, Python, SQL). Designing, developing, and deploying scalable, reliable, and secure cloud-based solutions using GCP services. More ❯

Profile Essential experience: Experience in data engineering, with a strong focus on Google Cloud Platform (GCP)-based solutions. Proficiency in the GCP platform, particularly in Data & AI services (e.g., BigQuery, DataProc, Cloud SQL, DataFlow, Pub/Sub, Cloud Data Fusion, Cloud Composer, Python, SQL). Designing, developing, and deploying scalable, reliable, and secure cloud-based solutions using GCP services. More ❯

Profile Essential experience: Experience in data engineering, with a strong focus on Google Cloud Platform (GCP)-based solutions. Proficiency in the GCP platform, particularly in Data & AI services (e.g., BigQuery, DataProc, Cloud SQL, DataFlow, Pub/Sub, Cloud Data Fusion, Cloud Composer, Python, SQL). Designing, developing, and deploying scalable, reliable, and secure cloud-based solutions using GCP services. More ❯

deliver end-to-end data products. Mentor mid-level analysts and contribute to capability-building across the Core Business Analytics team. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. Location:This is a hybrid role, with 2 days per week expected in either our London or Nuneaton office. The Person Core Skills & Behaviours SQL expertise 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 ❯

Lead/Technical Lead roles (GCP preferred). Proven experience leading large-scale cloud data platform deliveries. Strong stakeholder engagement, communication, and governance skills. Familiarity with GCP data services (BigQuery, Dataflow, Cloud Composer, etc.) and modern delivery methodologies (Agile/Scrum, DevOps). Why apply? High-impact, visible programme with strong extension prospects. Hybrid working with a mix of More ❯

with Marketing, CRM, and Promotions teams to deliver actionable insights Contributing to experimentation and A/B testing projects as this capability expands SKILLS & EXPERIENCE REQUIRED Strong SQL skills (BigQuery experience highly desirable) Experience in analytics, ideally within customer, marketing, or media environments Exposure to data visualisation tools (Tableau preferred, but flexible on others) Proven ability to manage projects More ❯

autonomous agents, multi-agent orchestration, tool use, memory, planning) Strong hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI assurance, governance, or ethical AI is a bonus Ability to work independently More ❯