1 to 25 of 202 BigQuery Jobs in the UK excluding London

Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with ...

architecting and delivering enterprise data warehousing and lakehouse solutions on Snowflake, including migrations from legacy EDW (Teradata, Oracle, SQL Server, etc.) and modern platforms (BigQuery, Redshift, Synapse, etc.).Deep data modeling expertise (dimensional, Data Vault, 3NF) and semantic design, including Snowflake semantic views and Horizon Context.Strong ELT/ ...

changesYou have experience following software engineering best practices like version control and continuous integrationYou have strong proficiency using SQL in cloud data warehouses (e.g. BigQuery, Redshift, Snowflake) and are comfortable with performance optimization, data partitioning, and window functionsExperience with dbt for data transformation layerExperience with IaC tooling such ...

pipelines. Strong SQL and data modelling expertise. Experience working within AWS, Azure, or GCP environments. Exposure to modern data warehousing platforms such as Snowflake, BigQuery, or Redshift. Familiarity with orchestration tools including Airflow or Databricks Workflows. Excellent communication skills with the ability to engage technical and non-technical stakeholders. ...

Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years experience working on data engineering ...

data mapping, migration QA and reporting continuity. NoSQL-to-analytics modelling, including change-feed patterns from operational databases into lakehouse or warehouse structures. GA4, BigQuery export, Google Ads/SEM feeds, Segment or other event and marketing analytics sources. Experience with Azure OpenAI, LLMs, RAG, AI agents, prompt/ ...

quality and production data engineering Cloud experience across Azure, AWS and/or GCP Experience with modern data platforms/warehouses such as Snowflake, BigQuery or Redshift Experience integrating data platforms with Power BI Experience with orchestration such as Databricks Workflows or Airflow Highly Desirable Direct experience engineering data ...

MySQL) or NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data-related services (e.g., S3, Redshift, BigQuery). Leadership and team management skills Experience with CI/CD best practices & IaC Experience with data modelling, data governance, data quality, and data ...

Data Cloud, Adobe Experience Platform, or equivalent (desirable). Familiarity with cloud-based data warehouses or data lakes such as Snowflake, Databricks, or Google BigQuery (desirable). Understanding of marketing measurement methodologies such as Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA) (desirable). Confidence using AI tools ...

Data Cloud, Adobe Experience Platform, or equivalent (desirable). Familiarity with cloud-based data warehouses or data lakes such as Snowflake, Databricks, or Google BigQuery (desirable). Understanding of marketing measurement methodologies such as Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA) (desirable). Confidence using AI tools ...

confidence reviewing, optimising, and assuring the quality of complex transformations Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration Demonstrable ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake. Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security, and appropriate ...

stakeholder engagement and communication skills Experience working within Agile delivery environments Desirable Experience: Google Cloud certifications Experience with Docker or containerisation technologies Exposure to BigQuery, Spark, Dataproc, or similar technologies Knowledge of DataOps and DevOps practices Understanding of UK GDPR and data governance principles #J-18808-Ljbffr ...

technical business users. Delivery Frameworks: Comfortable working within Agile and Waterfall project delivery methodologies. Desirable: Cloud Infrastructure: Hands-on experience with Google Cloud Platform (BigQuery, GCP storage) or equivalent cloud providers (AWS/Azure). Programming Languages: Proficiency in Python, R, or general-purpose scripting languages. Analytics Tools: Exposure ...

uphold data governance standard practices. Qualifications & Skills Advanced SQL: Highly proficient in writing optimized, complex queries across large cloud data warehouses (e.g., Snowflake, BigQuery). Programming & Modelling: Strong proficiency in Python for statistical modeling, forecasting, and machine learning. Statistics & Math: Deep understanding of statistical inference, regression analysis, probability theory ...

Data Governance and Data Classification policies. 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 Python CI automation systems such as Jenkins A git‐based source control system such as BitBucket Data ...

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 ...

leveraging leading cloud technologies (AWS, GCP, Azure).We **ENABLE** hybrid cloud transformation – You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We **OPTIMISE** and **SECURE** cloud environments – You will evaluate ...

successful Data Engineering Lead will have the following skills and experience: Strong SQL and Python skills Experience working with cloud data warehouses, ideally BigQuery Knowledge of dbt or similar transformation frameworks Experience building and maintaining data pipelines and ETL/ELT processes Exposure to BI and dashboarding tools, particularly ...

Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience: 5+ years ...

Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience 2+ years ...

cloud-based data infrastructure, while contributing to strong engineering practices and standards. The environment is heavily focused on Google Cloud Platform (GCP), with BigQuery, Dataform and Airflow/Cloud Composer forming key parts of the technology stack. WHAT YOU'LL BE DOING * Designing and implementing complex data flows across ...

days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving ...

Waterfall delivery methodologies and scoping Minimum Viable Products (MVPs). Desirable: Cloud Platforms: Hands-on experience deploying data science solutions on Google Cloud Platform (BigQuery, Vertex AI, GCP storage) or AWS/Azure. Advanced Data Science Techniques: Exposure to advanced methods such as Natural Language Processing (NLP), deep learning ...

technical hiring, onboarding and team capability development. What Youll Bring Strong senior/lead-level experience in data engineering. Deep experience with GCP, particularly BigQuery, Dataflow, Pub/Sub, Cloud Storage and Cloud Composer/Airflow. Advanced Python and SQL skills with a strong software engineering mindset. Proven experience ...