1 to 25 of 152 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 ...

star/snowflake) models. Build and maintain databases across platforms such as SQL Server, PostgreSQL and cloud data platforms (Azure SQL, AWS RDS, Snowflake, BigQuery). Write and optimise complex SQL, including stored procedures, functions, views and performance‐tuned queries. Develop ETL/ELT logic using SQL‐based approaches ...

building reliable, scalable data solutions. Youll bring: Strong experience with SQL (including optimisation) and Python for data engineering Hands-on experience working with GCP (BigQuery) and/or Microsoft Fabric (Synapse/OneLake) Experience building and managing data pipelines and workflow orchestration tools (e.g. Airflow, Data Factory) A solid ...

Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) Data & Engineering Excellence Lead the evolution of modern data platforms (Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering practices (Airflow, dbt, Prefect) and governance (Collibra, Purview) Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps Champion ...

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 ...

Comfortable working within shared standards, documentation, and collaborative data environments Experience with statistical and mathematical methodologies Experience working with cloud data platforms (e.g. Snowflake, BigQuery, Azure Synapse, Redshift) Understanding of ELT/ETL processes and data pipelines Experience measuring and tracking the success of analytics or data products Exposure ...

Qualifications: Proficiency in Python, Scala, and SQL. Extensive experience in data modelling and ELT/ETL processes. Strong experience with Google Cloud Platform, including BigQuery, Dataflow, Pub/Sub, and Composer. Familiarity with CI/CD & DevOps practices, including automated testing and infrastructure as code. Experience in implementing data ...

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 ...

leadership roles Strong hands-on experience across: Azure cloud, ADF, DevOps, Power BI, Fabric workspaces AWS cloud, S3, cross-cloud connectivity, API Gateways GCP (BigQuery, GCS, Dataflow) Deep expertise in: Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.) Snowflake (data warehousing & data sharing, Iceberg ...

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 ...

their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses ...

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 ...

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 ...

Airflow, Dagster, Prefect, or similar Hands-on experience with transformation frameworks such as dbt or Spark Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks Strong understanding of data modeling principles across analytical and operational systems Experience with monitoring and data quality tooling Familiarity with ...

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 ...

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 ...

defined model; exposure to canonical/dimensional modelling. • Hands-on with a cloud data platform — Azure/Fabric and/or GCP (BigQuery, Dataflow); willing to work across both. • Experience with, or genuine enthusiasm for, AI-assisted engineering tooling. • Works well to someone else's architecture and standards, asks ...

Strong experience with Google Cloud Platform (GCP), Python, and modern software engineering practices • Advanced SQL expertise, ideally including large-scale analytical environments such as BigQuery • Experience designing enterprise-scale data architectures and data models • Strong understanding of CI/CD, automation, testing frameworks, and engineering governance • Excellent communication skills ...

Hands-on experience working with at least one OLAP-specific engine or analytical data warehouse technology (such as Apache Druid, ClickHouse, Amazon Redshift, Google BigQuery or Snowflake) to build scalable reporting solutions. Confidence can sometimes hold us back from applying for a job. ...

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 ...

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 ...

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 ...