1 to 25 of 32 BigQuery Jobs in West Yorkshire

comfortable with conceptual, logical and physical data modelling techniques as well as dimensional modelling techniques. Experience using cloud data warehouse technology- Snowflake (preferred), Google BigQuery, AWS Redshift or Azure Synapse and experience working with key services on either GCP, AWS or Azure. Key services include cloud storage, containerisation, event More ❯

data warehouse design and modelling, including conceptual, logical, physical, and dimensional modelling techniques. Knowledge of cloud data warehouse technologies such as Snowflake (preferred), Google BigQuery, AWS Redshift, or Azure Synapse, and familiarity with GCP, AWS, or Azure services like cloud storage, containerisation, orchestration, and security. Experience working in Agile More ❯

dBt, Fivetran, and Tableau (or similar) Strong knowledge of SQL and experience in testing databases and data warehouses with dBt (e.g., Snowflake - Preferred, Redshift, BigQuery) Strong Knowledge of workload automation platforms like Apache Airflow and dBt (Data Build Tool) Familiarity with CI/CD tools (e.g. Azure DevOps – Preferred More ❯

and in future. Skills/Experience required: (Required) 3+ years of relevant Data Engineering experience (Preferably Databricks/Azure - or Snowflake/Redshift/BigQuery) (Required) Experience with infrastructure as code (e.g. Terraform) (Required) Proficiency in using Python both for scheduling (e.g. Airflow) and manipulating data (PySpark) (Required) Experience More ❯

from analytics platforms (e.g. GA4, Adobe Analytics) and delivering insights that drive measurable business outcomes in a fast-paced environment Proficient in SQL and BigQuery, with experience using data visualisation tools (we use Looker Studio and Tableau); Python is a plus but not essential Deep understanding of key eCommerce More ❯

from analytics platforms (e.g. GA4, Adobe Analytics) and delivering insights that drive measurable business outcomes in a fast-paced environment Proficient in SQL and BigQuery, with experience using data visualisation tools (we use Looker Studio and Tableau); Python is a plus but not essential Deep understanding of key eCommerce 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 ❯

are applied Stay up to date on trends in customer analytics, eCommerce, and digital health Who are we looking for? Expertise in Google Analytics, BigQuery, Tableau, SQL, GA4 and other data visualization and reporting tools Knowledge of churn, retention or cross-sell modelling Experience with python or other scripting More ❯

on experience or strong theoretical knowledge of AI and GenAI techniques and methodologies. Familiarity with cloud AI platforms such as GCP Vertex AI and BigQuery, Azure AI, or similar enterprise-level AI deployment environments. Experience or knowledge of regulatory requirements and frameworks relevant to AI, such as the EU More ❯

quality control processes. What We're Looking For: Proven experience in a data analysis, reporting, or business intelligence role. Strong working knowledge of Google BigQuery and SQL to write and customise queries. Proficiency in data visualisation tools such as Power BI, Tableau, or Google Data Studio. Strong skills in More ❯

etc Experience creating reporting and dashboarding solutions Great SQL skills and good knowledge across ETL and data warehousing Experience of Snowflake and/or BigQuery would be ideal Any Python scripting and coding skills are a big plus Excellent written and spoken English and communication skills More ❯

of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would More ❯

of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would More ❯

proficiency in languages such as Python, C# on Linux, Go, or similar. Utilise Advanced Technical Stack: Leverage our technical stack, including Python, SQL, PostgreSQL, BigQuery, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Pytorch, to develop robust and scalable AI/ML solutions. Strong foundation in More ❯

data infrastructure, ensuring seamless data flow and insightful analytics. Key Responsibilities: Design, develop, and maintain data pipelines using Google Cloud Platform (GCP) services like BigQuery, Cloud Storage, and Cloud Dataflow. Develop and maintain reports, dashboards, and visualizations using Power BI, ensuring data-driven insights for business stakeholders. Write efficient … scalability. Requirements: 5+ years of experience in data engineering, data analysis, or a related field. Strong experience with Google Cloud Platform (GCP) services, particularly BigQuery, Cloud Storage, and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing More ❯

leading client facing meetings with key stakeholders. You’ll need to have used tools such as Google Analytics 4, Google Tag Manager, Looker Studio, BigQuery and PowerBI. Knowledge of channels such as CRO, PPC, SEO and Paid Social would be a bonus. This is one of many roles here More ❯

Leeds/Halifax (Hybrid) Job Type: Contract Job Description: The ideal candidate should have experience with GCP, Data Products, Data Mesh, ETL, EDW Composer, BigQuery, DataProc, DBT, Spark, Hive, Kafka, Pub-Sub, Jira, GCP Dataflow, BigTable, Python, Scala, Java, .NET, ANSI SQL, Airflow, Shell Scripts, Control-M, Git, CI More ❯

Description Role: Data Architect Location: Leeds/Halifax (Hybrid) Job Type: Contract Job description: Proficiency in GCP, Data Products, Data Mesh, ETL, EDW Composer, BigQuery, DataProc, DBT, Spark, Hive, Kafka, Pub-Sub, Jira, GCP Dataflow, BigTable, Python, Scala, Java, .NET, ANSI SQL, Airflow, Shell Scripts, Control-M, Git, CI More ❯

Responsibilities: Design and build large-scale data warehouses, ETL pipelines, and reporting platforms that are robust and efficient. (Looking at going down Snowflake or BigQuery) Utilize your expertise in backend languages; the tech stack is flexible, including Java, Python, .NET, Ruby, and more. Implement strong coding principles, including CI More ❯

Familiarity with marketing platforms and analytics tools (e.g., Supermetrics, GA4, Mode) - Previous experience leading or mentoring analysts - Experience with data warehouses (e.g., Amazon Redshift, BigQuery) - Experience working with CRM tools like Braze - Familiarity with MMM, econometrics, or brand lift studies - Background in a fast-scaling digital product or membership More ❯

in a development role with a focus on data processing and analysis. Experience in and proficiency with database and cloud technologies (e.g. MySQL, Google, BigQuery, etc). Hands on individual that has the ability to work in a collaborative manner with other members of the firm. Strong written/ More ❯

in a development role with a focus on data processing and analysis. Experience in and proficiency with database and cloud technologies (e.g. MySQL, Google, BigQuery, etc). Hands on individual that has the ability to work in a collaborative manner with other members of the firm. Strong written/ More ❯

problems. And any experience of these would be really useful Familiarity with workforce planning, HR analytics, or organisational design. Experience working with GCP and BigQuery Knowledge of skills taxonomies or talent intelligence platforms. Prompt engineering skills, with the ability to design and refine prompts for generative AI tools to More ❯

role, with a strong focus on Google Cloud Platform (GCP). Deep expertise in GCP services such as Compute Engine, Cloud Functions, Cloud Run, BigQuery, Cloud Storage, GKE (Google Kubernetes Engine), Cloud Pub/Sub, IAM, and Cloud Identity. Hands-on experience with automation and configuration management tools like More ❯

role, with a strong focus on Google Cloud Platform (GCP). Deep expertise in GCP services such as Compute Engine, Cloud Functions, Cloud Run, BigQuery, Cloud Storage, GKE (Google Kubernetes Engine), Cloud Pub/Sub, IAM, and Cloud Identity. Hands-on experience with automation and configuration management tools like More ❯