1 to 25 of 32 Remote BigQuery Jobs in the UK excluding London

Oracle. Experience with big data technologies such as Hadoop, Spark, or Hive. Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow. Proficiency in at least one programming language such as Python, Java, or Scala. Strong analytical and problem-solving skills with the More ❯

understanding of data security, GDPR, access control, and encryption best practices. Nice-to-Have Skills Exposure to AWS Redshift, Glue, or Snowflake. Familiarity with BigQuery and Google Analytics APIs. Proficiency in Python, PySpark, or dbt for data transformations. Background in insurance, especially in pricing analytics or actuarial data. Click More ❯

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 More ❯

much more Key Responsibilities Develop and maintain ETL/ELT data pipelines using Python and SQL. Work with enterprise-level cloud platforms, ideally GCP (BigQuery, Airflow, Cloud Functions). Integrate APIs and process data from multiple sources. Design and optimise data warehouses and reporting systems. Build reports and dashboards More ❯

commercial environment creating production grade ETL and ELT pipelines in python Comfortable implementing data architectures in analytical data warehouses such as Snowflake, Redshift or BigQuery Hands on experience with data orchestrators such as Airflow Knowledge of Agile development methodologies Awareness of cloud technology particularly AWS. Knowledge of automated delivery More ❯

experience in data engineering or analytics engineering, preferably in a high-transaction environment. Strong SQL skills and experience with data warehousing solutions such as BigQuery and Snowflake. Proficiency in data modelling and transformation tools such as Data Build Tool (DBT). Familiarity with data visualisation tools such as Power More ❯

experience in data engineering or analytics engineering, preferably in a high-transaction environment. Strong SQL skills and experience with data warehousing solutions such as BigQuery and Snowflake. Proficiency in data modelling and transformation tools such as Data Build Tool (DBT). Familiarity with data visualisation tools such as Power More ❯

organisation Essential Criteria - Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative discipline - 7+ years of experience with advanced SQL (Snowflake, BigQuery, Redshift, Oracle, PostgreSQL, MSSQL, etc.) - 5+ years of experience with reporting/visualization tools (Looker, Tableau, Power BI, etc.) - Strong knowledge of Looker/ More ❯

users, their usage behaviour, and journeys to guide product design Being the first point of contact for behavioural analysis by using Google Analytics, Snowplow, BigQuery, and similar tools Working closely with product managers, UX teams, and the business to assess opportunities and help understand the value of changes, while More ❯

or related role Excellent SQL skills Good understanding of relational and analytical database architectures and methodologies Experience of cloud data warehousing solutions e.g. Snowflake, BigQuery, Redshift Good hands-on experience with at least one Business Intelligence platform Strong analytical and problem-solving skills Excellent communication skills, with the ability More ❯

The tech stack includes: Infrastructure: Google Cloud Backend: Python for internal API codebase, running on a Postgres database hosted with Google Cloud SQL Data: BigQuery, DBT, and Tableau Frontend: Typescript and React Mobile/Apps: Flutter What’s on Offer Generous time off. Equity package. Comprehensive health coverage. Pension More ❯

key-stakeholders Gain exposure to global scale FinTech projects Skills/Experience: 5+ years’ in a Senior Data Analyst role Strong SQL skills (Snowflake, BigQuery, Oracle etc) Strong Reporting/Visualisation skills (Looker, Tableau etc) Salary/Remuneration: Up to €55,000 + 5% Bonus Interested? Contact Brandon McCann More ❯

key-stakeholders Gain exposure to global scale FinTech projects Skills/Experience: 5+ years’ in a Senior Data Analyst role Strong SQL skills (Snowflake, BigQuery, Oracle etc) Strong Reporting/Visualisation skills (Looker, Tableau etc) Salary/Remuneration: Up to €55,000 + 5% Bonus Interested? Contact Brandon McCann More ❯

key-stakeholders Gain exposure to global scale FinTech projects Skills/Experience: 5+ years’ in a Senior Data Analyst role Strong SQL skills (Snowflake, BigQuery, Oracle etc) Strong Reporting/Visualisation skills (Looker, Tableau etc) Salary/Remuneration: Up to €55,000 + 5% Bonus Interested? Contact Brandon McCann More ❯

with data, this role will give you broad exposure across ecommerce and digital marketing performance. 🛠️ What You'll Need Proven experience using SQL and BigQuery to pull and manipulate data Exposure to Power BI and Google Analytics is a bonus A strong commercial mindset with a track record of More ❯

integration workflows. Familiarity with data formats (CSV, TSV, XML, JSON) used in ad tech and e-commerce. Experience with SQL and data platforms like BigQuery for analysis and troubleshooting. Understanding of event tracking for impressions, clicks, and conversions via APIs or tags. Working knowledge of cloud platforms (GCP preferred More ❯

reactive environment. Knowledge of performance monitoring and query tuning. Strong communication skills. Experience working with large and complex datasets is desirable. Commercial experience with BigQuery, SQL Server, Looker, GIT and JIRA is desirable. Main Responsibilities Developing reporting solutions that process, aggregate, and reconcile vast amounts of data into highly More ❯

reactive environment. Knowledge of performance monitoring and query tuning. Strong communication skills. Experience working with large and complex datasets is desirable. Commercial experience with BigQuery, SQL Server, Looker, GIT and JIRA is desirable. Main Responsibilities Developing reporting solutions that process, aggregate, and reconcile vast amounts of data into highly More ❯

Strong knowledge of SQL and Python programming. Extensive experience working within a cloud environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). Deep understanding of file More ❯

webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You'll … AWS, Azure, or GCP. Technical Skills Extensive experience with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/ More ❯

refining prompts to improve LLM performance in structured data querying and other business-specific applications. Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics. Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring … such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. MLOps/LLMOps Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring … maintenance using tools like Vertex AI Pipelines. Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications. Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding More ❯

Contract Data Analyst (Looker BI) Introduction: My client is a fast-growing Google Cloud Platform (GCP) Partner based in Glasgow, specialising in delivering advanced data and analytics solutions to clients within the Financial Services sector. Their mission is to empower More ❯

Senior Data Engineer | Full Time | Bristol | Redshift/BigQuery | SQL | CI/CD| GIS| Python One of SR2's longstanding clients have engaged us to support in the search for a Data Engineer to join their team and elevate their data engineering practices and principles. This role is a … of their staff. Which of your skills will be used? Proven experience in a Data Engineering role. Experience on Cloud – AWS and GCP preferred. BigQuery/Redshift experience is desireable. Experience working with and understanding different databases (Structured, non-relational, Graph etc.) CI/CD experience Python or Java … or adam@sr2rec.co.uk to find out more information and to be considered. £50,000 – 65,000 | Senior Data Engineer | Full Time | Bristol | Redshift/BigQuery | SQL | CI/CD| GIS | Python More ❯

Role: Data Architect Location: Leeds/Halifax( Hybrid) Job Type: Contract Job description: GCP, Data Products, Data Mesh, ETL, EDW Composer, Big Query, DataProc, DBT Spark, Hive, Kafka, Pub-Sub, Jira, GCP Dataflow, BigTable, Python, Kafka, Cloud DataProc, Cloud Data More ❯

clients. This includes implementing algorithms in Python to process the data in the cloud. Our targeted deployment environments are Google's Cloud Platform, utilising BigQuery and CloudRun. The successful candidate will be a key member of the fast-growing Indeximate team, working with Data Scientists and Software Engineers to … skillset in implementing cloud-based solutions. In addition, we'd love to hear from candidates with: Ability to implement cloud-based analytics solutions (Google BigQuery preferred) (essential) Skilled in Python and data science computing and cloud computing integration (essential) Demonstrable knowledge of key cloud security requirements and protocol implementation More ❯