276 to 300 of 1,119 BigQuery Jobs in the UK

SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration tools like Airflow Work closely with Data Engineers to ensure model-ready data and scalable pipelines. Nice to have Prior experience working in More ❯

communications both internally and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced More ❯

a challenging start-up environment. You have a curious mind and love problem-solving. We are looking for candidates who have Demonstrable, in-depth experience with SQL, particularly in BigQuery and PostgreSQL. Proven experience with dbt, focusing on building and maintaining efficient, scalable, and reliable DAGs. Proficiency in Python for data manipulation, scripting, or automation tasks. Are proficient with More ❯

Working at Stella McCartney is a truly rewarding experience. As a luxury fashion company with a strong ethical standpoint we are leaders and innovators in our industry. Overview Reporting to the Senior Global CRM Manager, Senior Customer Insights Analyst supports More ❯

to hierarchically structure information residing in the data under analysis. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualisation (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus. Strong experience in MLOps, including More ❯

dimensional modelling Familiarity with AWS data services ( S3, Athena, Glue ) Experience with Airflow for scheduling and orchestrating workflows Experience working with data lakes or modern data warehouses ( Snowflake, Redshift, BigQuery ) A pragmatic problem solver who can balance technical excellence with business needs At Funding Circle we are committed to building diverse teams so please apply even if your past More ❯

CD pipelines and version control practices Nice to have: Experience using Databricks Asset Bundles (DAB) Working knowledge of GCP and/or Azure in multi-cloud environments Familiarity with BigQuery or deployment automation tools like Harness If you don’t tick every box but feel you could be a great fit, we’d still love to hear from you. More ❯

dimensional modelling Familiarity with AWS data services (S3, Athena, Glue) Experience with Airflow for scheduling and orchestrating workflows Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery) A pragmatic problem solver who can balance technical excellence with business needs At Funding Circle we are committed to building diverse teams so please apply even if your past More ❯

of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to learn about and use data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. Responsibilities You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services, and platforms. You have a More ❯

Agile environment. Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Knowledge of container technologies (Docker, Kubernetes), IaaC (Terraform) and experience with cloud platforms such as GCP. Detailed understanding of automated CI/CD pipelines and experience More ❯

Data Visualisation Consultant (Pyramid Analytics) Department: Delivery Employment Type: Full Time Location: Bristol, UK Reporting To: Tim Andrews Compensation: £30,000 - £40,000/year Description The headlines... Start Date - Flexible Location - Hybrid; 1-2 days per week in our More ❯

include: querying a DWH during POV/POCs, configuring a cloud storage bucket for a customer to upload sample data to, configuring cloud permissions to access a customer’s BigQuery instance in order to create a materialized view. What You’ll Need Technical Expertise Comfortable working with APIs (REST, GraphQL). Able to interpret API documentation, authenticate requests, issue More ❯

or SVN. Capable of presenting technical issues and successes to team members and Product Owners. Nice to Have Experience with any of these- Python, Spark, Kafka, Kinesis, Kinesis Analytics, BigQuery, Dataflow, BigTable, and SQL. Enthusiastic about learning and applying new technologies (growth mindset). Ability to build new solutions and support our data solutions/products. What's in More ❯

Reporting to: Secured Revenue Strategy Lead Sponsorship: Unfortunately we are unable to offer sponsorship for this role. This role in 3 words: Credit Risk, Analysis, Insight Top 3 qualities for this role: Curious, problem solver, attention to detail Closing date More ❯

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. The Medical Research Council (MRC) Salary: £31,931 Hours: Full time or Part time (minimum 30 hours per week) Contract More ❯

Senior Information Analyst Medical Research Council – Head Office Salary: £36,650 annum Band: UKRI D Team: Evaluation and Analysis Team Reports to: MRC Lead Analyst Hours: Full time or Part time (minimum 30 hours per week) Contract Type: Open Ended. More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Widen the Net Limited provided pay range This range is provided by Widen the Net Limited. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the More ❯

Role: Senior Data Analyst Location: London (Hybrid - 3 days in-office) Salary: £60,000- £80,000 Industry: Retail Overview: This is an exciting hands-on opportunity well-suited to a versatile individual who thrives in dynamic, fast-paced environments. The More ❯

Join to apply for the Lead Data Analyst role at PetLab Co. Join to apply for the Lead Data Analyst role at PetLab Co. Get AI-powered advice on this job and more exclusive features. Direct message the job poster More ❯