1 to 25 of 147 BigQuery Jobs

Lead Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. Experience designing reliable, maintainable, and high-performance data pipelines ...

Experience in BI reporting tools (Looker, PowerBI and Tableau) • In-depth knowledge of Google Cloud Platform (GCP) services, particularly Cloud SQL, Postgres, Alloy DB, BigQuery, Looker Vertex AI and Gemini (GenAI), Agentic AI • Strong knowledge and experience in best practices for data governance, security, and compliance • Exposure to different ...

engineering. Strong SQL skills and experience with data modelling for analytics. Hands-on experience with a modern cloud data warehouse (e.g., Snowflake, BigQuery, Redshift, or Azure Synapse). Experience with transformation tooling (e.g., dbt or equivalent) and orchestration (e.g., Airflow, Azure Data Factory, or similar). Proficiency with ...

data challenges 🛠 Technical Environment Core Expertise Advanced SQL & Python Deep DBT experience (modelling, testing, macros, documentation) Workflow orchestration (Dagster preferred) Cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Data modelling for analytics and AI use cases API integrations and ingestion design patterns AI/ML Infrastructure Feature engineering architecture ...

technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability ...

data modelling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding ...

risk/portfolio datasets Time series familiarity (trend/seasonality, cohorts over time, monitoring) Experience with data tools such as dbt, Airflow, Snowflake/BigQuery/Databricks (or similar) Experience creating automated data quality frameworks or reconciliation checks Benefits: £45,000 – £55,000 salary Hybrid working in London Strong ...

Lead the design and delivery of analytics solutions across web, CRM, and media performance. Build and manage cloud-based data warehouses, primarily in Google BigQuery or similar tools. Own end-to-end web analytics workstreams, including GA4 and Adobe Analytics implementations, tracking design, and migration projects. Develop robust ...

variety of sectors and will give you the chance to build your client‐facing experience. Key responsibilities include: • Working in Google Cloud and BigQuery to support media and data projects. • Delivering analytics solutions across marketing, digital, and web analytics. • Supporting data centralisation, warehousing, and dashboard creation. • Contributing to projects ...

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 ...

Principal GCP Data Engineer , you will: Lead the design, development, and delivery of data processing solutions using GCP tools such as Dataflow, Dataproc, and BigQuery Design automated data pipelines using orchestration tools like Cloud Composer Contribute to architecture discussions and design end-to-end data solutions Own development processes ...

Principal GCP Data Engineer , you will: Lead the design, development, and delivery of data processing solutions using GCP tools such as Dataflow, Dataproc, and BigQuery Design automated data pipelines using orchestration tools like Cloud Composer Contribute to architecture discussions and design end-to-end data solutions Own development processes ...

Principal GCP Data Engineer , you will: Lead the design, development, and delivery of data processing solutions using GCP tools such as Dataflow, Dataproc, and BigQuery Design automated data pipelines using orchestration tools like Cloud Composer Contribute to architecture discussions and design end-to-end data solutions Own development processes ...

Principal GCP Data Engineer , you will: Lead the design, development, and delivery of data processing solutions using GCP tools such as Dataflow, Dataproc, and BigQuery Design automated data pipelines using orchestration tools like Cloud Composer Contribute to architecture discussions and design end-to-end data solutions Own development processes ...

/CD, automated testing, and comprehensive documentation. Your Tech Stack Language: Expert-level Python and advanced SQL . Cloud: Extensive experience with GCP (BigQuery, Cloud Storage, Dataflow/PubSub, Cloud Composer/Airflow). Tools: Experience with data orchestration tools and version control (Git). Environment: Proficiency in building ...

developing your consulting skills with full support from the team. Your Skills and Experience • Strong commercial experience working with SQL and cloud data warehousing (BigQuery or similar). • Hands‐on experience with web analytics platforms such as GA4 or Adobe Analytics. • Understanding of tagging and implementation workflows ...

Strong, hands on experience using Python and SQL in production environments Experience building and maintaining data pipelines using technologies such as Spark, Snowflake, BigQuery, or similar Experience working in cloud environments such as AWS, GCP or Azure, with an understanding of data processing at scale Confidence working with messy ...

writing, reviewing, and optimising complex queries and DDL. Practical experience with at least one major cloud data platform (Azure Synapse/Fabric, Snowflake, Databricks, BigQuery, AWS Redshift) including cost and performance tuning. Desirable Experience Experience in energy trading, commodities, or financial services data environments (or Big Tech Familiarity with ...

scale data processing. Strong knowledge of SQL and data warehouse technologies. Experience working with cloud environments such as AWS or GCP. Exposure to Kubernetes, BigQuery or GPU-based processing is beneficial. Experience in digital analytics or AdTech is a bonus but not required. BENEFITS The successful Senior Data Platform ...

scale data processing. Strong knowledge of SQL and data warehouse technologies. Experience working with cloud environments such as AWS or GCP. Exposure to Kubernetes, BigQuery or GPU-based processing is beneficial. Experience in digital analytics or AdTech is a bonus but not required. BENEFITS The successful Senior Data Platform ...

scale data processing. Strong knowledge of SQL and data warehouse technologies. Experience working with cloud environments such as AWS or GCP. Exposure to Kubernetes, BigQuery or GPU-based processing is beneficial. Experience in digital analytics or AdTech is a bonus but not required. BENEFITS The successful Senior Data Platform ...

scale data processing. Strong knowledge of SQL and data warehouse technologies. Experience working with cloud environments such as AWS or GCP. Exposure to Kubernetes, BigQuery or GPU-based processing is beneficial. Experience in digital analytics or AdTech is a bonus but not required. BENEFITS The successful Senior Data Platform ...

scale data processing. Strong knowledge of SQL and data warehouse technologies. Experience working with cloud environments such as AWS or GCP. Exposure to Kubernetes, BigQuery or GPU-based processing is beneficial. Experience in digital analytics or AdTech is a bonus but not required. BENEFITS The successful Senior Data Platform ...

scale data processing. Strong knowledge of SQL and data warehouse technologies. Experience working with cloud environments such as AWS or GCP. Exposure to Kubernetes, BigQuery or GPU-based processing is beneficial. Experience in digital analytics or AdTech is a bonus but not required. BENEFITS The successful Senior Data Platform ...

solutions. * Contribute hands-on to complex engineering challenges and architectural decisions. Your Skills and Experience * Strong commercial experience working with GCP data tooling, including BigQuery, Cloud Storage, Pub/Sub, and Dataflow. * Proficiency in Python and SQL for building well-structured, production-grade pipelines. * Familiarity with infrastructure as code ...