151 to 175 of 180 Remote BigQuery Jobs

Senior Data Engineer (SQL BigQuery GCP) London/WFH to £110,000 Are you a data technologist with Media Streaming experience? You could be progressing your career in a senor, hands-on role at one of Europe's most successful streaming and social media platforms. As a Senior Data Engineer you'll design, build and maintain high-performance services … Berlin) A sociable office environment with free snacks, drinks and lunch if you are in the office Apply now to find out more about this Senior Data Engineer (SQL BigQuery GCP) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose More ❯

products that move us towards our vision of scaling up through product led growth. This role will be focused on our backend system (Symfony, PHP) and our data products (BigQuery, DBT, Airflow), but there will be opportunities to work across the platform including, agentic AI (Python, Langchain), frontend (React, TypeScript), the APIs (GraphQL, REST), our integration tool of choice … or another object oriented language) in a commercial, agile software delivery, environment Strong knowledge of SQL and experience with relational databases Demonstrable experience with data concepts and tools, e.g. BigQuery Desire to put the user first - not the technology Good written and verbal skills - particularly with non-technical people regarding technical subjects Experience using git, GitHub and continuous integration More ❯

At Spotify, Financial Engineering is building the platform that powers Finance and enables strategic decision-making across the company. Our mission is to create trusted financial abstractions that make complexity manageable and insight actionable - supporting everything from premium and ads More ❯

solutions. Your focus will be defining the overall architecture for data ingestion from our Data Lake, including processing, storage, and analysis within GCP. By leveraging your expertise of Google BigQuery architecture and its features, you will design and implement data models optimised for performance, scalability and best practices. You will act as the subject matter expert for development and … the Company's hybrid working from home policy. Preferred Skills and Experience Proven experience as a GCP expert, focusing on data driven solutions. Extensive hands-on experience with Google BigQuery, including its architecture, features, and best practices. Detailed understanding of data modelling, data transformation, data governance, and proficient in SQL and other data processing languages. Experience with data pipeline … orchestration tools, preferably Cloud Composer. Broad understanding of core GCP services such as BigQuery, Cloud Storage, Kubernetes, Cloud Functions, Pub/Sub, and IAM. Experience with IaC tools such as Terraform, Ansible, or CloudFormation to manage GCP environments. Familiar utilising CI/CD pipelines and version control systems such asGit, GitLab, and Jenkins. Proven experience in setting up and More ❯

reliable execution on daily, weekly, or customized schedules. 2. Execute CrossPlatform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. 3. Monitor, Troubleshoot … logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. 7. Lead Migration from hh360 to BigQuery Architect and drive a seamless migration strategy to move data and pipelines from the legacy hh360 system into Google BigQuery. Employ iterative migration patterns for safe data transfers, rigorous More ❯

execution on daily, weekly, or customized schedules. 2. Execute Cross‐Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. 3. Monitor, Troubleshoot … logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. 7. Lead Migration from hh360 to BigQuery Architect and drive a seamless migration strategy to move data and pipelines from the legacy hh360 system into Google BigQuery. Employ iterative migration patterns for safe data transfers, rigorous More ❯

execution on daily, weekly, or customized schedules. 2. Execute Cross‐Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. 3. Monitor, Troubleshoot … logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. 7. Lead Migration from hh360 to BigQuery Architect and drive a seamless migration strategy to move data and pipelines from the legacy hh360 system into Google BigQuery. Employ iterative migration patterns for safe data transfers, rigorous More ❯

ensuring reliable execution on daily, weekly, or customized schedules. Execute CrossPlatform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. Monitor, Troubleshoot & Resolve … SQL logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. Lead Migration from hh360 to BigQuery Architect and drive a seamless migration strategy to move data and pipelines from the legacy hh360 system into Google BigQuery. Employ iterative migration patterns for safe data transfers, rigorous More ❯

reliable execution on daily, weekly, or customized schedules. Execute Cross‐Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. Monitor, Troubleshoot & Resolve … SQL logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. Lead Migration from hh360 to BigQuery Architect and drive a seamless migration strategy to move data and pipelines from the legacy hh360 system into Google BigQuery. Employ iterative migration patterns for safe data transfers, rigorous More ❯

reliable execution on daily, weekly, or customized schedules. Execute Cross‐Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. Monitor, Troubleshoot & Resolve … SQL logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. Lead Migration from hh360 to BigQuery Architect and drive a seamless migration strategy to move data and pipelines from the legacy hh360 system into Google BigQuery. Employ iterative migration patterns for safe data transfers, rigorous More ❯

reliable execution on daily, weekly, or customized schedules. Execute Cross‐Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. Monitor, Troubleshoot & Resolve … SQL logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. Lead Migration from hh360 to BigQuery Architect and drive a seamless migration strategy to move data and pipelines from the legacy hh360 system into Google BigQuery. Employ iterative migration patterns for safe data transfers, rigorous More ❯

reliable execution on daily, weekly, or customized schedules. Execute Cross Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. Monitor, Troubleshoot & Resolve … SQL logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. Lead Migration from hh360 to BigQuery Architect and drive a seamless migration strategy to move data and pipelines from the Legacy hh360 system into Google BigQuery. Employ iterative migration patterns for safe data transfers, rigorous More ❯

execution on daily, weekly, or customized schedules. 2. Execute Cross Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. 3. Monitor, Troubleshoot … logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. 7. Lead Migration from hh360 to BigQuery Architect and drive a seamless migration strategy to move data and pipelines from the legacy hh360 system into Google BigQuery. Employ iterative migration patterns for safe data transfers, rigorous More ❯

Senior Data Engineer ***Open to Contract or Perm*** Location - Remote/North (happy for you to work remotely but ideally you would be based up North where the leadership are based) Contract - £500-600/day, Perm £70-85k More ❯

Job Title: GA4/GTM Solution Architect GA4 Analytics Engineer/Developer/Architect - Technical guys working on Web technologies, API's, bigquery. Location: 100% Remote Job Description Need Developer kind of profiles, who is strong in web Development and More ❯

Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP OB are partnered with a UK FinTech Unicorn, undergoing huge growth within their Data function, and are therefore looking for a Lead Data Engineer to join their Data team. This is a key role, where you'll be leading a team of up to 6 engineers, helping set … technical direction, collaborating with a variety of stakeholders across the business, working on several exciting greenfield projects and scaling their data systems. Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP Key skills and experience: 2+ years of experience in a Leadership role Python/SQL DBT, BigQuery, Airflow AWS/GCP, Terraform Data warehousing ETL … Hybrid working with offices based in Central London Base salary of £120k-£140k + Bonus up to 15% and stock options Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP More ❯

Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP OB are partnered with a UK FinTech Unicorn, undergoing huge growth within their Data function, and are therefore looking for a Lead Data Engineer to join their Data team. This is a key role, where you'll be leading a team of up to 6 engineers, helping set … technical direction, collaborating with a variety of stakeholders across the business, working on several exciting greenfield projects and scaling their data systems. Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP Key skills and experience: 2+ years of experience in a Leadership role Python/SQL DBT, BigQuery, Airflow AWS/GCP, Terraform Data warehousing ETL … Hybrid working with offices based in Central London Base salary of £120k-£140k + Bonus up to 15% and stock options Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP More ❯

solutions. Your focus will be defining the overall architecture for data ingestion from our Data Lake, including processing, storage, and analysis within GCP. By leveraging your expertise of Google BigQuery architecture and its features, you will design and implement data models optimised for performance, scalability and best practices. You will act as the subject matter expert for development and … SQL and other data processing languages. Experience with data pipeline orchestration tools, preferably Cloud Composer. Proficient in writing complex SQL queries, continuous queries, stored procedures, UDFs, and TVFs in BigQuery, along with performance tuning and optimisation. Collaborating with Technical Leads and Software Architects to ensure a scalable, reliable, and compliant solutions. Crafting complex SQL queries, stored procedures, UDFs, and … consistency, and reliability of data. Collaborate closely developers to ensure seamless integration of applications with the GCP data platform. Serving as subject matter expert on GCP data solutions and BigQuery, providing guidance, mentorship, and knowledge transfer on best practices to the development team. Actively participating in code reviews and contributing to the technical direction of cloud-based data processing More ❯

Guide the evolution toward a self-learning model framework, improving automation and adaptability over time. Design and oversee feature testing and evaluation to enhance predictive performance and interpretability. Use BigQuery and GCP tools (including CloudRun) to manage and process large-scale datasets efficiently. Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes. Mentor … preferably in financial services or another regulated domain). Proven ability to design, train, and evaluate models using Python, XGBoost, and related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI and model governance practices. Exposure to model monitoring and More ❯

Guide the evolution toward a self-learning model framework, improving automation and adaptability over time. Design and oversee feature testing and evaluation to enhance predictive performance and interpretability. Use BigQuery and GCP tools (including CloudRun) to manage and process large-scale datasets efficiently. Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes. Mentor … preferably in financial services or another regulated domain). Proven ability to design, train, and evaluate models using Python, XGBoost, and related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI and model governance practices. Exposure to model monitoring and More ❯

Guide the evolution toward a self-learning model framework, improving automation and adaptability over time. Design and oversee feature testing and evaluation to enhance predictive performance and interpretability. Use BigQuery and GCP tools (including CloudRun) to manage and process large-scale datasets efficiently. Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes. Mentor … preferably in financial services or another regulated domain). Proven ability to design, train, and evaluate models using Python, XGBoost, and related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI and model governance practices. Exposure to model monitoring and More ❯

Guide the evolution toward a self-learning model framework, improving automation and adaptability over time. Design and oversee feature testing and evaluation to enhance predictive performance and interpretability. Use BigQuery and GCP tools (including CloudRun) to manage and process large-scale datasets efficiently. Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes. Mentor … preferably in financial services or another regulated domain). Proven ability to design, train, and evaluate models using Python, XGBoost, and related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI and model governance practices. Exposure to model monitoring and More ❯

Guide the evolution toward a self-learning model framework, improving automation and adaptability over time. Design and oversee feature testing and evaluation to enhance predictive performance and interpretability. Use BigQuery and GCP tools (including CloudRun) to manage and process large-scale datasets efficiently. Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes. Mentor … preferably in financial services or another regulated domain). Proven ability to design, train, and evaluate models using Python, XGBoost, and related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI and model governance practices. Exposure to model monitoring and More ❯

digital experiences — covering everything from UX and CRO to analytics and experimentation. They’re now looking for a hands-on Senior Data & Analytics Consultant to lead delivery across GA4, BigQuery, GTM and Looker Studio . You’ll be the go-to analytics expert, managing end-to-end implementations, driving insight and supporting cross-functional teams. This role is ideal … What you’ll be doing: Lead GA4 setup, audits and enhancements for high-traffic digital platforms Implement tracking via GTM and custom data layers Build models and dashboards in BigQuery and Looker Studio Run training and onboarding sessions for both clients and internal teams Support compliance through Google Consent Mode and OneTrust Communicate data clearly to both technical and … non-technical stakeholders ✅ What they’re looking for: 2+ years in an agency or consultancy delivering client-facing analytics work Strong technical skills across GA4, GTM, BigQuery and Looker Studio Comfortable working independently on projects and managing deadlines Confident communicator with a practical, problem-solving mindset Bonus if you’ve used Adobe Analytics, Contentsquare, FullStory or similar 🎁 What’s More ❯

digital experiences — covering everything from UX and CRO to analytics and experimentation. They’re now looking for a hands-on Senior Data & Analytics Consultant to lead delivery across GA4, BigQuery, GTM and Looker Studio . You’ll be the go-to analytics expert, managing end-to-end implementations, driving insight and supporting cross-functional teams. This role is ideal … What you’ll be doing: Lead GA4 setup, audits and enhancements for high-traffic digital platforms Implement tracking via GTM and custom data layers Build models and dashboards in BigQuery and Looker Studio Run training and onboarding sessions for both clients and internal teams Support compliance through Google Consent Mode and OneTrust Communicate data clearly to both technical and … non-technical stakeholders ✅ What they’re looking for: 2+ years in an agency or consultancy delivering client-facing analytics work Strong technical skills across GA4, GTM, BigQuery and Looker Studio Comfortable working independently on projects and managing deadlines Confident communicator with a practical, problem-solving mindset Bonus if you’ve used Adobe Analytics, Contentsquare, FullStory or similar 🎁 What’s More ❯