1 to 25 of 84 BigQuery Jobs in the UK

with the ability to write, read, and optimise complex queries across large datasets Experience working with a cloud data warehouse such as Snowflake (preferred), BigQuery, Redshift, or Synapse Experience working in a modern cloud environment (AWS, GCP, or Azure), with exposure to core services such as cloud storage ...

PostgreSQL, MongoDB, CosmosDB, and SQL Server is also beneficial. Knowledge of data warehousing technologies such as Databricks SQL, Snowflake Warehouses, Amazon Redshift, and Google BigQuery is important for structuring and managing large volumes of data. Data engineers should be adept at Extract, Transform, Load (ETL) processes. This includes using ...

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 ...

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 ...

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 & Technical Proficiency Strong hands-on capability wi th SQL and data exploration too ls.Solid working knowledge of cloud data platforms (e.g., Snowflake, Databricks, BigQuery, AWS, Azur e).Conceptual understanding of data modeling practices, modern ETL/ELT architecture, APIs, and microservices .Exposure to modern BI tools (e.g., Tableau ...

business. Requirements: Proven experience designing and delivering cloud-native data engineering solutions. Strong expertise with Azure (Data Factory, Synapse), AWS (Redshift, Glue), or GCP (BigQuery, Dataflow). Experience contributing to cloud data architecture and technical solution design. Strong programming skills in Python, Scala, or Java. Advanced SQL skills, including ...

Data Science. You'll enable our data driven approach, and:Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity ...

processes, and enable faster, more informed decision-making in your roleWhat You Will BringHands-on experience with data warehousing solutions such as Amazon Redshift, BigQuery and Snowflake to implement and manage ETL pipelines (dbt) to streamline data workflows and ensure data integrity, accuracy and comprehensiveness.Expertise in SQL for complex ...

Hands-on experience with Google Cloud Platform (GCP) . Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices. Familiarity with data warehouse technologies (BigQuery, Redshift, Snowflake, etc.). #mle #machinelearning #datascientist #python #sql #timeseries #ai #cicd #cloud #contractjobs Reasonable Adjustments: Respect and equality are core values to us. ...

tests, Elementary, Soda, or Deequ.Familiarity with AWS data services ( S3, Athena, Glue )Experience working with data lakes or modern data warehouses ( Snowflake, Redshift, BigQuery )A pragmatic problem solver who can balance technical excellence with business needsAble to architect custom AI solutions and smart automated systems that are safe, maintainable ...

just individual pipelinesExperience designing and operating production data platforms across cloud infrastructure, orchestration, ingestion and SQL transformation layersPractical experience with GCP, BigQuery, Terraform, Kubernetes, Dagster, dlt and dbt - or equivalent tools with the ability to articulate transferable reasoningDemonstrated ability to make and document architecture decisions that involve meaningful trade ...

also considered) * Experience with Docker, Kubernetes and CI/CD tools * Familiarity with Infrastructure as Code, ideally Terraform Desirable * Experience with Databricks, Snowflake or BigQuery * Cloud certifications (AWS, Azure or GCP) * Experience mentoring junior engineers or working in a consulting environment This is an excellent opportunity to work ...

Technical skills Essential Confident with SQL for querying, exploring and shaping data Working knowledge of at least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse) A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable ...

automation, or enterprise data architecture.Knowledge of public cloud platforms such as AWS, Azure,or GCP, and exposure to cloud data platforms such asSnowflake, Databricks, BigQuery, Redshift, or MicrosoftFabric. Relevant certifications are a plus, although not arequirement.Strong understanding of analytics workflows, dataintegration, data governance, automation, and howmodern analytics solutions ...

data services ( S3, Athena, Glue )Experience with Airflow for scheduling and orchestrating workflowsExperience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery)A pragmatic problem solver who can balance technical excellence with business needsAble to architect custom AI solutions and smart automated systems that are safe, maintainable ...

market or enterprise accounts—comfortable in both exec-level conversations and deep technical design sessions.Familiarity with enterprise data environments: cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), REST/GraphQL APIs, and common ERP or CRM platforms.Comfort with modern deployment practices: CI/CD, containerization (Docker/Kubernetes), cloud-native ...

expertise in data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive ...

least one analytical language such as Python, SAS or R. Strong Excel skills are expected.Experience with data platforms such as Looker, Power BI, BigQuery or dbt is advantageous.Credit risk or financial services experience is beneficial but not essential. We're open to candidates from other analytical backgrounds ...

statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager, Leadership ...

cloud platforms (Azure, AWS, GCP)Implement and manage data tools such as:Azure Data Factory/Synapse/DatabricksAWS Glue/Redshift/EMRGoogle BigQuery/DataflowEnsure systems are secure, scalable, and cost-efficientData Pipeline & Workflow ManagementDevelop orchestration workflows (e.g., Airflow, Prefect, Azure Data Factory)Monitor and troubleshoot pipelines … Experience with data pipelines and ETL toolsExpertise in at least one cloud platform:Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda)GCP (BigQuery, Dataflow)Data Platform ExpertiseExperience with:Data warehousing solutionsStreaming technologies (Kafka, Kinesis, Pub/Sub)Familiarity with DevOps/DataOps practicesCI/CD pipelinesInfrastructure ...

Goodunderstanding of Google's Big Query platform. Expertise in data platform architecture, configuratio n , and optimisation with a focus on MPP databases like Google BigQuery . Strong knowledge of data mesh principles, database design, data warehousing concepts, and ETL/ELT processes. Exceptional problem solving andanalytical skills with ...

devs with modern AI coding assistants and are building internal workflows and investigating as many uses as possible (docs, unit tests, migrations)Data: BigQuery, dbt, Looker, Spark, PythonLife @MaltRemote Culture: Strong remote culture with most of the team working full-remote from countries where Malt has a physical office ...

statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager, Leadership ...

processing workflows in production environments Strong understanding of data quality, reconciliation and validation practices Experience working with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake or Redshift (beneficial) Experience with version control systems (preferably GitLab) and tools such as JIRA and Confluence Comfortable working with messy, incomplete ...