1 to 25 of 68 BigQuery Jobs in the UK

pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer ...

consistency verification, and rollback strategies Cross-platform optimisation: Knowledge of leveraging PostgreSQL features to improve performance during migration scenarios Proficiency in data warehousing (Redshift, BigQuery) Strong communication and collaboration skills, with the ability to work effectively in a team environment. Proficiency in oral and written English You might also ...

modelling and ETL/ELT pipelines Experience building enterprise-grade data solutions Cloud & Platform Hands-on experience with Google Cloud Platform (GCP) , ideally including: BigQuery Dataflow Pub/Sub Composer Cloud Run/App Engine Experience with CI/CD, automated testing and infrastructure as code Data Quality & Monitoring ...

digital transformation programmes. Skills & Experience Essential Significant experience designing and delivering enterprise data warehouse, lakehouse, or analytics platforms. Strong experience with technologies such as BigQuery, Snowflake, Databricks, and Azure Synapse Analytics. Google Cloud Platform (GCP) experience highly desirable Deep understanding of data architecture principles and scalable solution design. Expertise ...

activation solutions. You will need to be familiar with how APIs are configured. You will need to have strong experience with using Google BigQuery, and working with the wider Google Marketing Platform stack, including familiarity with Google Analytics data, and will have experience integrating other 3rd party technologies ...

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 ...

regular knowledge sharing. About You Educated to a degree level or with demonstrable relevant experience Extensive experience of at least 5 years working with BigQuery is essential including a solid understanding of SQL coding Strong Experience of Google analytics (GA4). Extensive Experience of visualisation software essential (e.g. Power ...

with cloud platforms such as AWS, Azure, or Google Cloud , and experience integrating with cloud-based data warehouses or data lakes (eg Snowflake, Databricks, BigQuery). Knowledge of data security and compliance best practices in cloud-based environments. This temporary contract is inside IR35 and will require working under ...

with cloud platforms such as AWS, Azure, or Google Cloud , and experience integrating with cloud-based data warehouses or data lakes (eg Snowflake, Databricks, BigQuery). Knowledge of data security and compliance best practices in cloud-based environments. This temporary contract is inside IR35 and will require working under ...

Experience Strong commercial experience in analytics engineering or working closely with data analytics teams Advanced SQL skills within modern data platforms such as Snowflake, BigQuery, or Databricks Experience building and automating data pipelines and workflows Working knowledge of dbt for data transformation Proficiency in Python for data manipulation ...

Experience Strong commercial experience working with large datasets and delivering insight Advanced SQL skills within modern data platforms such as Snowflake, Databricks, or BigQuery Experience building and automating data pipelines and transformations Familiarity with dbt for data modelling and transformation workflows Working knowledge of Python for data processing Experience ...

regular knowledge sharing. About You Educated to a degree level or with demonstrable relevant experience Extensive experience of at least 4 years working with BigQuery is essential including a solid understanding of SQL coding Strong Experience of Google analytics (GA4). Extensive Experience of visualisation software essential (e.g. Power ...

generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge – Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands‐On Development – Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas ...

automation testing for Data Engineering Testing tools like Great Expectations, dbt, pytest and data validation frameworks Experience of testing data platforms such as Snowflake, BigQuery, Redshift, Databricks, Azure Synapse Experience of testing pipelines in things like Airflow, Azure Data Factory, AWS Glue, Kafka Data Concepts ETL/ELT, data ...

similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud‐native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices, and event‐driven architectures. Strong grounding in statistics, experimentation, and analytical methods. Experience deploying and maintaining production ...

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 ...

business adoption Strong technical skills in Python and SQL, including building data pipelines and working with large-scale datasets and distributed data platforms (e.g., BigQuery, Snowflake, Hadoop or similar) Experience applying data science, machine learning, or data engineering approaches within data-intensive domains such as Finance or Operations Proficiency ...

/POCs, configuring a cloud storage bucket for a customer to upload sample data to, configuring cloud permissions to access a customer’s BigQuery instance in order to create a materialized view. What You’ll Need Technical Expertise Comfortable working with APIs (REST, GraphQL). Able to interpret ...

/AI modelling, analytics. You've designed complex end-to-end solutions, not just one layer of the stack. Google Cloud hands-on experience: BigQuery, Analytics Hub (BQ Sharing), Cloud Functions and DBT Cloud specifically. Comparable cloud experience considered for strong candidates. Commercial mindset: You can demonstrate data product ...

/AI modelling, analytics. You've designed complex end-to-end solutions, not just one layer of the stack. Google Cloud hands-on experience: BigQuery, Analytics Hub (BQ Sharing), Cloud Functions and DBT Cloud specifically. Comparable cloud experience considered for strong candidates. Commercial mindset: You can demonstrate data product ...

security controls Technical: Deliver high-quality, secure solutions using GCP cloud-native services, and event- driven patterns. Architect GCP workloads using services such as BigQuery, Cloud Run, GKE, Cloud Storage, Dataflow, Pub/Sub, Vertex AI, Looker, and Cloud Composer Cloud, Platform & Integration: Apply understanding of Kubernetes, service mesh ...

systems Strong SQL and Python skills with expertise in large-scale data processing Hands-on experience with modern data stack tools — Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar Experience with event-driven, real-time or near real-time architectures A first-class approach to data correctness, reliability, and monitoring ...

tool (ideally Looker), with strong SQL skills Experience working with semantic or metrics layers (e.g. LookML) and cloud data warehouses such as Snowflake or BigQuery Ability to interpret data and clearly explain insights to both technical and non-technical stakeholders Strong attention to detail, excellent communication skills ...

fluency: microservices, API-first, event-driven architecture, multi-tenant isolation, Kubernetes/container orchestration, serverless patterns. Working knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure Synapse) and real-time streaming (Kafka, Flink, Spark Streaming). Familiarity with generative AI patterns (LLM fine-tuning, RAG, prompt engineering, function calling ...

delivery. Key Requirements 7+ years' hands-on experience with Google Cloud Platform (GCP) Proven experience designing and building production-grade data platforms using: BigQuery Dataflow Pub/Sub Python APIs and containerised services Strong data architecture experience, including conceptual, logical and physical data modelling Experience establishing governance frameworks, metadata ...