1 to 25 of 53 Permanent BigQuery Jobs

retail, eCommerce, or consulting environments* Advanced SQL and ETL capabilities* Strong data‐visualisation expertise (Tableau or comparable)* Hands‐on experience with Google Analytics and BigQuery* Proficiency in Python or R for analysis and modelling* Proven ability to drive adoption of data‐based measurement and turn metrics into strategic actions ...

Data Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such ...

regular knowledge sharing. About You Educated to a degree level or with demonstrable relevant experience Extensive experience of at least 5 years working with BigQuery is essential including a solid understanding of SQL coding Strong Experience of Google analytics (GA4). Extensive Experience of visualisation software essential (e.g. Power ...

with cloud platforms such as AWS, Azure, or Google Cloud , and experience integrating with cloud-based data warehouses or data lakes (eg Snowflake, Databricks, BigQuery). Knowledge of data security and compliance best practices in cloud-based environments. This temporary contract is inside IR35 and will require working under ...

Experience Strong commercial experience in analytics engineering or working closely with data analytics teams Advanced SQL skills within modern data platforms such as Snowflake, BigQuery, or Databricks Experience building and automating data pipelines and workflows Working knowledge of dbt for data transformation Proficiency in Python for data manipulation ...

Experience Strong commercial experience working with large datasets and delivering insight Advanced SQL skills within modern data platforms such as Snowflake, Databricks, or BigQuery Experience building and automating data pipelines and transformations Familiarity with dbt for data modelling and transformation workflows Working knowledge of Python for data processing Experience ...

CIMA, ACCA, or ACA. SQL and Data Modelling: strong SQL skills and experience building and maintaining data models in a modern cloud data warehouse (BigQuery, Snowflake, Redshift, or Databricks). Financial Expertise: solid understanding of accounting principles and financial reporting, with the ability to implement finance logic accurately ...

regular knowledge sharing. About You Educated to a degree level or with demonstrable relevant experience Extensive experience of at least 4 years working with BigQuery is essential including a solid understanding of SQL coding Strong Experience of Google analytics (GA4). Extensive Experience of visualisation software essential (e.g. Power ...

similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud‐native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices, and event‐driven architectures. Strong grounding in statistics, experimentation, and analytical methods. Experience deploying and maintaining production ...

generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge – Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands‐On Development – Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas ...

business (who own the products). Key Requirements/Person Specification Technical Proficiency: Deep hands‐on expertise with GCP data and analytics services (BigQuery, Dataflow, Pub/Sub, IAM, monitoring), plus working knowledge of Databricks and/or Snowflake in federated enterprise environments. Strong understanding of modern data architectures ...

/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 ...

/AI modelling, analytics. You've designed complex end-to-end solutions, not just one layer of the stack. Google Cloud hands-on experience: BigQuery, Analytics Hub (BQ Sharing), Cloud Functions and DBT Cloud specifically. Comparable cloud experience considered for strong candidates. Commercial mindset: You can demonstrate data product ...

systems Strong SQL and Python skills with expertise in large-scale data processing Hands-on experience with modern data stack tools — Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar Experience with event-driven, real-time or near real-time architectures A first-class approach to data correctness, reliability, and monitoring ...

clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes. Technical Competencies needed: Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Analytics, etc.), including performance tuning and troubleshooting. Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration. ...

perfect specs in a fast-moving product environment Desirable Hands-on experience with LLMs - prompting, embeddings, or applied inference workflows Familiarity with Google Cloud (BigQuery, Cloud Run, Vertex AI, or similar) Understanding of modern data architecture - batch/streaming, DAG-based orchestration, API-driven systems Exposure ...

commercially minded, highly analytical individual who enjoys solving problems, improving systems, and influencing business decisions through data. Essential Skills & Experience Strong SQL and BigQuery experience Advanced Power BI and Looker Studio capability Experience handling large datasets with millions of records Strong understanding of CRM, sales, and marketing data flows ...

data across the commercial org, raising data literacy and coaching stakeholders on how to use insights. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. What We’re Looking For Core Skills & Behaviours Leadership: Proven ability to lead and grow a team of analysts, building ...

fluency: microservices, API-first, event-driven architecture, multi-tenant isolation, Kubernetes/container orchestration, serverless patterns. Working knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure Synapse) and real-time streaming (Kafka, Flink, Spark Streaming). Familiarity with generative AI patterns (LLM fine-tuning, RAG, prompt engineering, function calling ...

pair with analysts on hard problems, review their code, and still write your own when it matters. Solid grasp of the modern data stack (BigQuery, dbt, semantic layers) and used to working closely with analytics engineering counterparts. A track record of using AI‐assisted tools (Claude, Cursor, Copilot ...

role with be integral between the commercial and BI teams. Key Requirements: Expert experience across the Google Cloud Platform ecosystem Hands-on experience with BigQuery, including optimisation, modelling and performance tuning Proven experience building scalable data pipelines within GCP Strong knowledge of Looker and semantic layer development Experience working ...

Strong scripting skills (Python, Bash, or PowerShell) Experience with Kafka or similar streaming platforms Experience with Databricks or modern data platforms (e.g. Snowflake, Synapse, BigQuery) Strong understanding of data pipelines and distributed systems Focus on automation, scalability, and reliability Nice to Have Lakehouse or large-scale data platform experience ...

Strong experience (typically 5+ years) in data engineering roles Advanced skills in Python and SQL Hands-on experience with Databricks, Azure, and GCP/BigQuery Proven ability to work across both legacy systems and modern cloud environments Key Skills DevOps mindset you automate wherever possible and write clean, testable ...

solving skills. Experience designing and implementing batch and stream data processing systems. Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, CloudWatch), GCP (BigQuery). Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial. Good understanding of AI platforms, experience building infrastructure for LLM orchestration (e.g., vector ...

highly available MQTT brokers handling 6+ billion messages per day . Guide streaming pipelines using Apache Pulsar and data storage across DynamoDB and Google BigQuery . Enable high-fidelity time-series analytics, machine learning, and forecasting at scale. Ensure robust handling of offline data replay and reconciliation. Collaboration with ...