1 to 25 of 91 BigQuery Jobs in the UK

streaming data pipelines such as Beam and Flink.Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.Agile Methodologies: Familiarity ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

technologies (note we do not expect applicants to have prior experience of all them):Google Cloud Platform for all of our analytics infrastructuredbt and BigQuery SQL for our data modelling and warehousingPython for data science and machine learningGo to write our application codeAWS for most of our backend infrastructureThe ...

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 ...

Stack architectures - you understand the layers: ingestion, warehouse, transformation, orchestration, reverse ETL. You've worked with tools like DLT/Fivetran/Airbyte (ingestion), BigQuery/Snowflake/Redshift (warehouse), DBT (transformation), Airflow/similar (orchestration).Strong Python programming - you write clean, testable, maintainable code with solid error handling … write complex queries, understand execution plans, and optimize for performance and cost.Experience with cloud data platforms - you've built data warehouses in BigQuery, Redshift, Snowflake, or similar; you understand distributed processing, partitioning, cost optimization, and data governance.Experience with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi) or equivalent - you version ...

teams. Good understanding of conversion optimisation and digital customer journeys. Looker Studio experience would be beneficial. Power BI is also relevant. SQL/BigQuery is a nice-to-have rather than essential. Experience with app analytics or digital product analytics would be advantageous. Experience with Mixpanel would be useful. ...

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 ...

advanced experimentation techniquesAdvanced Technical Toolkit: Expert-level SQL is a baseline. You should have experience with large-scale data environments [ e.g. Snowflake, Databricks or BigQuery], visualization tools (e.g. Tableau) and digital analytics [e.g. Amplitude, Adobe or Google Analytics]Trusted Advisor Exceptional ability to "translate" technical findings for C-suite ...

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 ...