1 to 25 of 96 BigQuery Jobs in the UK

Senior 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 ...

data warehouse platform. Extremely Strong SQL skills Significant hands-on experience integrating APIs. Experience with the Google Cloud Platform/Data Stack including: BigQuery; Cloud Functions; Cloud Storage; Pub/Sub; IAM Management; Data Studio Strong working knowledge of Python for pipeline development, automation and tooling integration. Hands ...

advantageous – as is basic knowledge of Python or R • Basic SQL skills and understanding of data modelling • Experience working with big data (e.g. Snowflake, BigQuery, Redshift, dbt, Fivetran/Airflow) • Experience building dashboards using BI tools (e.g. Power BI, Tableau, Looker) • Strong analytical thinking and problem-solving skills • Ability ...

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 ...

machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). • Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP • Development experience within secure or classified environments particularly where ...

data engineering, analytics engineering, or technical analytics Strong SQL skills, including joins, window functions, and performance tuning Experience with Databricks, Snowflake, or BigQuery Strong data modelling experience, ideally with dbt Experience with BI tools such as Omni, Power BI, Tableau, Looker, or Sigma Strong stakeholder management and communication skills ...

Build and own data pipelines that connect product, analytics, and operations Design scalable architectures using tools like dbt , Airflow , and Snowflake/BigQuery Work with engineers and product teams to make data easily accessible and actionable Help evolve their data warehouse and ensure high data quality and reliability Experiment ...

migration pipelines, including support for legacy DataStage decommissioning and modernisation. Work with a variety of database technologies including relational, NoSQL, MPP and columnar stores (BigQuery, Redshift, Azure SQLDW, HBase, MongoDB). Build optimised, scalable data models. Apply performance tuning and optimisation across storage. Ensure secure handling of data including ...

enable self‐service analytics. Partner with FP&A, commercial finance, and analytics teams to align reporting. Tools & Technologies SQL (advanced) Cloud data platforms : Snowflake, BigQuery, or Redshift BI tools : Power BI (preferred), Tableau, or Looker ETL/ELT tooling and data modelling frameworks CRM data (e.g., Salesforce) Natural‐language ...

designing and delivering scalable data engineering solutions Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ELT pipelines and data transformation frameworks Programming capability ...

database integration LLM knowledge grounding Semantic retrieval design Agent knowledge API design AWS (Neptune, Glue, S3, Lambda) Azure (Cosmos DB, Synapse) GCP (Vertex AI, BigQuery) Terraform/IaC Docker/Kubernetes CI/CD pipeline management Graph performance optimisation Access control and security Backup and recovery Monitoring and alerting ...

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 ...

time data pipelines Knowledge of microservices and distributed systems Tech & Cloud Experience with AWS, Azure, or GCP (AWS preferred) Familiarity with Databricks, Snowflake, or BigQuery Engineering Practices Strong in testing, CI/CD, Git Experience with Terraform, Docker, Kubernetes Experience 3+ years in data engineering Agile experience and strong ...

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 ...

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 ...

experience as a Data Engineer with solid foundations in SQL and dimensional modelling Experience working with Snowflake or similar cloud data warehouses such as BigQuery Good Python capability, including orchestration tools such as Airflow Proven experience building and managing data ingestion pipelines Cloud experience within AWS or GCP environments ...

experience as a Data Engineer with solid foundations in SQL and dimensional modelling Experience working with Snowflake or similar cloud data warehouses such as BigQuery Good Python capability, including orchestration tools such as Airflow Proven experience building and managing data ingestion pipelines Cloud experience within AWS or GCP environments ...

Need to Succeed: Strong software engineering skills, with Python as a primary language Strong SQL skills and experience working with analytical data warehouses (e.g. BigQuery, Snowflake) Experience building production-grade data pipelines or distributed data systems Experience working with large-scale datasets Familiarity with cloud infrastructure (e.g. ...

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 ...

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 ...

/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 ...

experience in data science or advanced analytics roles (typically 5+ years) Advanced SQL skills with experience working on large-scale datasets (e.g. Databricks, Snowflake, BigQuery) Proficiency in Python for data analysis, modelling, and experimentation Experience building predictive models (e.g. propensity modelling, segmentation, forecasting) Demonstrated ability to deliver data-driven ...

infrastructure (e.g., AWS, GCP), ensuring scalability and security for large volumes of streaming and batch data. Additionally, experience with data warehouses such as BigQuery or Snowflake. Adept in Python and/or Java for developing data services and integrating APIs to bring in diverse sources of media data. Exposure … manage the infrastructure necessary for optimal ETL or ELT of data using Python , SQL , and Google Cloud Platform (GCP) big data technologies, such as BigQuery, Dataflow, Dataproc and Cloud Storage. Business Intelligence Enablement : Prepare and transform pipeline data to support downstream analytics and feed BI tools (DOMO), enabling data ...