1 to 25 of 66 BigQuery Jobs in the UK excluding London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

running tasks, error-recovery* Backend: Django (5.x+), DRF, FastAPI, Pydantic, Celery, Django Channels, Flask, RESTful APIs.* Databases & Storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage.* Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls. ...

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 ...

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 ...

data world, with a strong understanding of networking, proxies, and data ingress/egress patterns. Cloud & Databases: Proficiency with cloud data warehousing (e.g., BigQuery), relational databases (e.g., Postgres), and object stores (e.g., S3). Knowledge of Docker, Kubernetes, and data stores like Redis is a plus. API Architecture: Deep ...

/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins). Advanced SQL: Master‐level proficiency in SQL (ideally BigQuery), with strong optimisation and performance‐tuning skills. Experience following coding standards and performing peer code reviews. Data Modelling & Insight: Strong capability in designing intuitive, scalable ...

developing or maintaining web-based applications (html, css, Javascript frameworks such as Angular, React) Cloud (GCP or AWS) and popular cloud Big Data tools - BigQuery, Dataflow, Looker Hands on containerisation experience (Docker or similar) and orchestration (e.g. with kubernetes) Experience processing of biological archive data Tests and CI/ ...

bring a mix of strong technical capability and commercial understanding. Advanced SQL skills (this is a must) Experience working in a cloud data environment (BigQuery preferred) Experience managing data transformations in Dataform, and architecting data models in Looker Background in digital commerce, digital advertising, ad-tech, media, or marketplace ...

data ecosystem—spanning relational, NoSQL, and analytical platforms (with a focus on PostgreSQL via Cloud SQL and AlloyDB, alongside Spanner, Cassandra, Firestore, Bigtable, and BigQuery) — while ensuring smooth operations, performance tuning, and automated deployments. As our team embraces a cloud-first mindset, you will be encouraged to move beyond ...

Strong experience (typically 5+ years) in data engineering roles Advanced skills in Python and SQL Hands-on experience with Databricks, Azure, and GCP/BigQuery Proven ability to work across both legacy systems and modern cloud environments Key Skills DevOps mindset you automate wherever possible and write clean, testable ...

Strong experience (typically 5+ years) in data engineering roles Advanced skills in Python and SQL Hands-on experience with Databricks, Azure, and GCP/BigQuery Proven ability to work across both legacy systems and modern cloud environments Key Skills DevOps mindset you automate wherever possible and write clean, testable ...

make use of the following GCP products: Google Kubernetes Engine (with Istio service mesh) Cloud SQL Cloud Pub/Sub Cloud Memorystore for Redis BigQuery Datastream Firestore Cloud Storage Cloud Secret Manager What You’ll Do Maintain, monitor, and secure our GCP infrastructure. Manage the deployment and upgrades ...

friction exists and what the data is really telling us about outcomes. You will work with Google Analytics data and write SQL in Google BigQuery to bring together different data sources, create meaningful analysis, and support clear and reliable dashboards using tools like Looker Studio and Power BI. Just ...

friction exists and what the data is really telling us about outcomes. You will work with Google Analytics data and write SQL in Google BigQuery to bring together different data sources, create meaningful analysis, and support clear and reliable dashboards using tools like Looker Studio and Power BI. Just ...

friction exists and what the data is really telling us about outcomes. You will work with Google Analytics data and write SQL in Google BigQuery to bring together different data sources, create meaningful analysis, and support clear and reliable dashboards using tools like Looker Studio and Power BI. Just ...