1 to 25 of 600 BigQuery Jobs in the UK

Cloud, or Azure)Experience with large-scale distributed data processing and performance tuningHands-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 ...

/Scala), with a focus on performance optimisation and maintainability.Designing and building solutions on a cloud data warehouse or lakehouse platform (e.g., Databricks, Snowflake, BigQuery, Redshift).Strong understanding of data modelling principles for analytics, reporting, machine learning and AI use cases.Experience applying modern engineering practices, including CI/ ...

with data pipeline tools (e.g., Apache Airflow, Kafka) Familiarity with cloud platforms (AWS, Azure, Google Cloud) Understanding of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) Strong problem-solving and analytical skills Preferred Skills Experience with big data technologies (e.g., Hadoop, Spark) Knowledge of data modeling techniques and schema design ...

Cloud platforms: working knowledge of cost and usage data schemas across Azure (Cost Management, Synapse/Fabric), AWS (Cost Explorer, Athena, Glue), and GCP (BigQuery). AI/ML: proficiency in the Python ML ecosystem (scikit‐learn, XGBoost, Prophet), experience building and deploying models, and familiarity with MLflow ...

workflows.Required Skills• Commercial experience in a Data Engineering or Data Developer role.• Strong SQL and Python programming skills.• Hands-on experience with Google BigQuery and Google Cloud Platform.• Experience implementing cloud-based data solutions.• Experience integrating Salesforce Marketing Cloud and Salesforce CRM data.• Understanding of marketing platforms, campaign metrics ...

knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS • Experience with Data Warehouse databases like Snowflake/Redshift/BigQuery • Experience with Python/PySpark • Experience with implementing Rest APIs. • Experience with using and integrating BI tools such as QuickSight, Looker, Power BI, Tableau ...

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/ ...

engineering experience (AWS, Azure or GCP), including object storage, compute and managed data services.Strong experience with modern data warehousing/lakehouse tools (e.g., Snowflake, BigQuery, Redshift, Databricks).Hands-on orchestration experience (e.g., Airflow, Dagster, Prefect) and CI/CD for data pipelines.Experience with streaming and event-driven data (e.g. ...

more programming or query languages such as SQL, PL/SQL, Python, Java, Ruby or R.Experience with relevant modern data technologies such as BigQuery, Databricks, Snowflake, MongoDB, Hadoop, Redis, Kafka or similar.The ability to select technologies based on scalability, performance, security, interoperability and business requirements.Experience documenting complex architectures clearly ...

with a focus on large scale data transformation and data warehousing.Excellent SQL coding skills.Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift.Experience with data transformation tools such as dbt, or Dataflow.Understanding of data modeling techniques.Experience with using visualisation platforms such as Looker, Tableau ...

focus on large scale data transformation and data warehousing. Excellent SQL coding skills. Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift. Experience with data transformation tools such as dbt, or Dataflow. Understanding of data modeling techniques. Experience with using visualisation platforms such ...

Databricks. Solid understanding of data modeling, dimensional design, and schema normalization at enterprise scale. Strong experience with AWS (S3, Redshift, Glue, Lambda) or GCP (BigQuery, Dataflow). Experience working with marketing or ad platform data (Google Ads, Meta, TikTok, DV360, Amazon Ads). Demonstrated expertise in code versioning (GitHub ...

maintaining data pipelines using SQL, Python, or similar technologies.Experience with modern cloud data platforms, ideally Snowflake, or alternatives such as Databricks, Redshift, Synapse, BigQuery, or Azure Data Lake.Experience developing cloud-based solutions, with AWS preferred, or equivalent experience in Azure or GCP.Familiarity with data transformation and ELT frameworks, ideally ...

data pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg).Advanced SQL skills and proficiency in Python. Strong background in modern software development ...

reason about warehouse cost and performance, not just correctness. Cloud data warehouse depth. Hands-on experience with Snowflake or a comparable MPP warehouse (Redshift, BigQuery). Experience scaling a data platform through growth — onboarding new business units, acquisitions, or data sources onto an existing model without rearchitecting from scratch. ...

Data Architecture, and Cloud Solutions with strong expertise in Google Cloud Platform (GCP). Expert-level hands-on experience with GCP data services including BigQuery, Cloud Composer (Airflow), Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Vertex AI. Advanced proficiency in dbt, Python, and SQL for designing, building ...

with each. Experience with scoping and/or delivering large‐scale data platform migrations. Preferred Experience with additional cloud data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse. CI/CD, DevOps, and Infrastructure as Code practices for data platforms. Metadata management, lineage tooling, and data observability ...

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 ...

Salesforce 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 and LLMs ...

Salesforce 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 and LLMs ...

Salesforce 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 and LLMs ...

Salesforce 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 and LLMs ...

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 Build Tool) or similar data transformation frameworks is essential. Data Warehousing: Experience working with cloud-based data warehouses such as Snowflake, Google BigQuery, or Amazon Redshift. Data modelling: Solid understanding of data warehousing concepts, ETL/ELT principles, and dimensional modelling techniques. Version Control: Proficiency with ...