1 to 25 of 499 BigQuery Jobs in the UK

role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing ● Experience with at least one of the programming languages like More ❯

role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing ● Experience with at least one of the programming languages like More ❯

Proficiency in Python for data transformation, automation, and integration tasks, and SQL for building and optimising complex queries. Hands-on experience with cloud data platforms, ideally Google Cloud Platform (BigQuery, Cloud Storage, Cloud Functions) or equivalents such as AWS Redshift or Azure Synapse. Practical experience using modern data tooling such as DBT, Airflow, or Prefect for orchestration, transformation, and More ❯

experience in Python development for data workflows Experience building and maintaining ETL pipelines, ideally with Apache Airflow or a similar orchestration tool Hands-on experience with Google Cloud Platform (BigQuery, GCS, etc.) or another major cloud provider Good understanding of data modelling principles and the ability to translate business needs into technical solutions Strong collaboration and communication skills, with More ❯

data tools and governance. Strong analytical mindset with a focus on business outcomes. Nice-to-Have Python or Airflow experience for automation. Knowledge of data warehouse best practices (Snowflake, BigQuery, Redshift). Experience with MS Business Central or similar ERP systems. eCommerce or omni-channel retail background. Exposure to machine learning and predictive analytics. This is a great opportunity More ❯

data tools and governance. Strong analytical mindset with a focus on business outcomes. Nice-to-Have Python or Airflow experience for automation. Knowledge of data warehouse best practices (Snowflake, BigQuery, Redshift). Experience with MS Business Central or similar ERP systems. eCommerce or omni-channel retail background. Exposure to machine learning and predictive analytics. This is a great opportunity More ❯

years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one More ❯

years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one More ❯

years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one More ❯

years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one More ❯

years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one More ❯

big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer protocols More ❯

big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer protocols More ❯

to structure information residing in the data under analysis hierarchically. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning. Deep expertise in advanced analytics, data science and traditional analytics. High More ❯

and infrastructure as code •Understanding of 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 compliance or restricted networks More ❯

and infrastructure as code •Understanding of 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 compliance or restricted networks More ❯

and infrastructure as code •Understanding of 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 compliance or restricted networks More ❯

and infrastructure as code •Understanding of 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 compliance or restricted networks More ❯

/ELT pipelines using any major programming language, with a strong preference for Python · Databases & SQL: Extensive experience working with databases, SQL, and data warehouses. Familiarity with Postgres and BigQuery required. · Data Ingestion: Experience ingesting and processing data from diverse sources (databases, data warehouses, and external APIs) · Infrastructure-as-Code (IaC): Hands-on experience with an IaC solution, such More ❯

/ELT pipelines using any major programming language, with a strong preference for Python · Databases & SQL: Extensive experience working with databases, SQL, and data warehouses. Familiarity with Postgres and BigQuery required. · Data Ingestion: Experience ingesting and processing data from diverse sources (databases, data warehouses, and external APIs) · Infrastructure-as-Code (IaC): Hands-on experience with an IaC solution, such More ❯

/ELT pipelines using any major programming language, with a strong preference for Python · Databases & SQL: Extensive experience working with databases, SQL, and data warehouses. Familiarity with Postgres and BigQuery required. · Data Ingestion: Experience ingesting and processing data from diverse sources (databases, data warehouses, and external APIs) · Infrastructure-as-Code (IaC): Hands-on experience with an IaC solution, such More ❯

including APIs, databases, and flat files. Assist in the setup and optimisation of data infrastructure and storage solutions, such as data warehouses and data lakes, using platforms like Snowflake, BigQuery, or Azure Synapse. Help manage cloud-based infrastructure and services across AWS, Azure, or GCP environments. Learn to monitor data quality and integrity across systems and gain an understanding More ❯

and problem-solving skills, with the ability to convert data into actionable insights. Proficiency in data visualization tools such as Power BI , or similar. Experience with Snowflake and GCP (BigQuery) or other cloud-based data warehousing technologies is highly desirable. Familiarity with Python is a plus. Working knowledge of Lead Scoring criteria, build and implementation is a plus Great More ❯

DevOps, integrating automated testing into a CI/CD pipeline using Jenkins or GitLab runner. Experience with either AWS, Azure OR GCP Cloud Good knowledge in GCP Storage Buckets, BigQuery, Dataflow and Cloud Functions (any Cloud). Hands-on experience with one or more programming languages (Java/JavaScript). Experience with non-functional testing using JMeter or similar More ❯

Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience, with the ability to mentor, influence, and set technical More ❯