1 to 25 of 142 BigQuery Jobs in the UK

Hadoop, Spark, Kafka). Experience with AWS and its data services (e.g. S3, Athena, AWS Glue). Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Knowledge of containerization and orchestration tools (e.g., Docker, ECS, Kubernetes). Knowledge of data orchestration tools (e.g. Prefect, Apache Airflow). Familiarity more »

. Proficiency in cloud platforms such as AWS, Azure, or Google Cloud, and cloud-based data services (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery). Experience with DataOps practices and tools, including CI/CD for data pipelines. Excellent leadership, communication, and interpersonal skills, with the ability to more »

. Proficiency in cloud platforms such as AWS, Azure, or Google Cloud, and cloud-based data services (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery). Experience with DataOps practices and tools, including CI/CD for data pipelines. Excellent leadership, communication, and interpersonal skills, with the ability to more »

. Proficiency in cloud platforms such as AWS, Azure, or Google Cloud, and cloud-based data services (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery). Experience with DataOps practices and tools, including CI/CD for data pipelines. Excellent leadership, communication, and interpersonal skills, with the ability to more »

Data Engineer, with proven experience in designing and implementing data pipelines and solutions on the Google Cloud Platform. Proficiency in GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Data Fusion. Experience in data ingestion, data transformation, and data modeling on GCP. Strong programming skills in more »

Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion. NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore. BigQuery and Data Studio/Looker. Snowflake Data Warehouse/Platform Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience more »

for cloud-based data solutions. Knowledge of DBT for data transformation and modelling. Experience with data warehousing concepts and tools like Redshift, Snowflake, or BigQuery . Strong problem-solving skills and the ability to work with large-scale datasets. It's A Bonus If You Have: Experience in the more »

for cloud-based data solutions. Knowledge of DBT for data transformation and modelling. Experience with data warehousing concepts and tools like Redshift, Snowflake, or BigQuery . Strong problem-solving skills and the ability to work with large-scale datasets. It's A Bonus If You Have: Experience in the more »

dBt, Fivetran, and Tableau (or similar) Strong knowledge of SQL and experience in testing databases and data warehouses with dBt (e.g., Snowflake - Preferred, Redshift, BigQuery) Strong Knowledge of workload automation platforms like Apache Airflow and dBt (Data Build Tool) Familiarity with CI/CD tools (e.g. Azure DevOps - Preferred more »

track record optimising data pipelines & query performance. Experience in building CI/CD pipelines for automated deployments. Desirable Skills Familiarity with GCP products, especially: BigQuery, Composer, Cloud Functions. Knowledge of data science fundamentals (supervised/unsupervised learning, hyperparameter optimisation, model performance evaluation). Experience in building AI/ML more »

Databricks clusters, notebooks, jobs, and libraries. * Deep understanding of Databricks architecture, configuration, and performance optimization techniques. * Strong knowledge of GCP services, including Compute Engine, BigQuery, Cloud Storage, Dataflow, and Pub/Sub. * Proficiency in scripting languages like Python or Scala for automation, terraform, and data engineering tasks. * Experience with more »

/Qualifications Experience with Media & Entertainment industry or manufacturing/distribution of packaged Experience with modern reporting and analytics technologies and platforms (Snowflake, Google BigQuery, Python, Airflow, Power BI, MicroStrategy, Looker) Enjoys learning new technologies and partnering with development teams to implement Ability to effectively collaborate with teams across more »

RE GOOD AT Advanced Technical Proficiency: Expertise in data architecture, data warehousing, and cloud-based data platforms, with experience in technologies like Azure Synapse, BigQuery, or Snowflake. Client-Centric Mindset: Proven ability to deliver reliable, scalable data solutions, with a track record of improving data access, insights, and performance. more »

have 3-5 years of experience, but this isn't set in stone! Strong statistical background/education in a quantitative discipline. We use BigQuery, Fivetran, Amplitude, Metabase, hex and dbt amongst other things for our data stack, so experience here would be beneficial, however, experience in similar tools more »

/education in a quantitative discipline Familiarity with digital advertising platforms (Google Ads, Facebook Ads, LinkedIn Ads, TikTok, etc.) We use Google Analytics 4, BigQuery, Fivetran, Amplitude, Metabase and DBT amongst other things for our data stack, so experience here would be beneficial, however, experience in similar tools (if more »

Design Authority. Experience Required: Bachelor's degree in computer science, engineering, or related field. Experience with cloud technologies (e.g., Microsoft Azure Synapse Analytics, Google BigQuery, Snowflake, or Microsoft Azure Databricks). Proficient in Python, R, or SQL. Experience with data warehousing, modeling, and analysis. Knowledge of data visualization tools more »

Skills Data prep and coding skills in languages such as SQL, Python or R is desirable. Knowledge of cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift) is an advantage. Main Duties: Partner with client stakeholders to understand key business drivers, challenges and data needs and deliver tailored analytics solutions. more »

of experience working as a professional data engineer in industry Expertise with Python coding and type system Expertise in writing SQL (GQL, PostgreSQL, and BigQuery are a plus) Experience with building both batch and streaming ETL pipelines using data processing engines Experience with cloud development (we use GCP and more »

or insurance. Strong technical skills, including SQL, Python, R, and data visualisation tools (Power BI, Tableau). Familiarity with cloud technologies (Azure Synapse Analytics, BigQuery, Snowflake, Databricks). Ability to work with stakeholders across the business, translating data needs into actionable solutions. Knowledge of data warehousing, modelling, and CI more »

jobs and working with large datasets efficiently. Cloud experience (GCP/AWS). You know how to work with cloud-native data tools like BigQuery, Airflow, and messaging queues. Strong coding skills in Python and SQL. Scala is a plus, but not required. A track record of building reliable more »

What We're Looking For Must Haves Real-world experience with Google Cloud and modern data stack tools such as dbt, Looker, Fivetran, Google BigQuery and/or Snowflake Great analytical, problem-solving and technical skills, a head for numbers and an attention to detail An excellent grasp of more »

Developing scalable, secure, and cost-effective solutions to support operational and analytical workloads. • Hybrid Cloud & Data Migration – Implementing cloud-based architectures (e.g., Snowflake, Redshift, BigQuery) and migrating legacy data systems. • Developing Innovative Solutions – Leading proof-of-concept (PoC) and minimum viable product (MVP) initiatives for advanced analytics and AI more »

Developing scalable, secure, and cost-effective solutions to support operational and analytical workloads. • Hybrid Cloud & Data Migration – Implementing cloud-based architectures (e.g., Snowflake, Redshift, BigQuery) and migrating legacy data systems. • Developing Innovative Solutions – Leading proof-of-concept (PoC) and minimum viable product (MVP) initiatives for advanced analytics and AI more »

record of using data to drive direct-to-consumer relationships Strong communication skills Keen problem solver with critical thinking Experience with Google Analytics, GCP, BigQuery, Tableau, Databricks, and AWS Able to write production-grade code in SQL or Python Experience analysing large datasets Experience of establishing self-serve tools more »

we use Programming languages: SQL, LookML, Python Development tools and frameworks: dbt, pandas, dagster, Airbyte, dlt, data-diff, Elementary Data lake and warehouse: GCS, BigQuery Analytics: Looker, Looker Studio and geospatial analytics tools How we reward our team Dynamic working environment with a diverse and driven team Huge opportunity more »