1 to 25 of 115 Permanent BigQuery Jobs

Data Engineer, with a strong focus on Google Cloud Platform. In-depth knowledge and hands-on experience with core GCP data services such as: BigQuery: For data warehousing, querying, and analytics. Cloud Dataflow: For batch and stream data processing. Cloud Pub/Sub: For real-time messaging and event ...

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 ...

Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. ...

layers Hands-on dashboard development using Tableau, Power BI, Looker, ThoughtSpot or similar tools Experience with enterprise data platforms such as Snowflake, Databricks or BigQuery Proficiency in Python or similar scripting languages for analytics, automation or data manipulation Experience implementing CI/CD pipelines using Git, automated testing ...

Have: Experience working with financial, operational, or transactional data; exposure to real-time or event-driven systems; experience with data warehouses such as BigQuery, Snowflake, or Redshift. What We’re Looking For: Strong systems thinker with attention to detail; comfortable working with ambiguity and evolving products; interest in building ...

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 ...

Hands-on experience with at least one major BI tool (e.g. Tableau, Power BI, Looker, etc.) Experience working with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks) Understanding of ETL/ELT processes and data transformation workflows Experience working with non-technical stakeholders and translating requirements Nice to Have ...

based data architectures (GCP experience essential) Proficiency in Python, SQL, (epsoure to Java, Kotlin, Bash) Hands-on experience with modern data tools such as BigQuery, Dataflow, Pub/Sub, dbt, Kubernetes, or similar Experience building and maintaining data pipelines Familiarity with CI/CD, Git, Terraform, and modern engineering ...

computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Master's degree in Computer Science, Engineering, Information Technology ...

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 ...

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 ...

risk/portfolio datasets Time series familiarity (trend/seasonality, cohorts over time, monitoring) Experience with data tools such as dbt, Airflow, Snowflake/BigQuery/Databricks (or similar) Experience creating automated data quality frameworks or reconciliation checks Benefits: £45,000 – £55,000 salary Hybrid working in London Strong ...

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 ...

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 ...

build and maintain resilient data platforms using bronze, silver and gold data modelling frameworks. You will develop scalable data pipelines using Python, working with BigQuery to support advanced analytics and high-performance reporting. You will be responsible for integrating data from Dynamics 365, shaping data models and delivering high ...

Strong Python and SQL skills AWS or GCP (NOT Azure) Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform BENEFITS The successful Senior Data Engineer will receive the following benefits: Salary between £80,000 - £100,000 - depending on experience ...

Strong Python and SQL skills AWS or GCP (NOT Azure) Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform BENEFITS The successful Senior Data Engineer will receive the following benefits: Salary between £80,000 - £100,000 - depending on experience ...

performance optimisation Experience with CI/CD, Git, and modern software engineering practices Nice to Have Exposure to platforms like Databricks, Snowflake, or BigQuery Experience in consulting or client-facing environments Cloud or data engineering certifications Experience mentoring or supporting junior engineers If you’re a Data Engineer ...

Nice to Have: Experience with hospitality-specific systems (e.g. Mews, FLYR, D-EDGE, IDeaS, Synxis,etc) Knowledge of cloud-based data platforms (e.g., Snowflake, BigQuery) Why Join Us? Be part of a rapidly expanding hospitality company with ambitious growth plans. Work with a collaborative and innovative team committed ...

Nice to Have: Experience with hospitality-specific systems (e.g. Mews, FLYR, D-EDGE, IDeaS, Synxis,etc) Knowledge of cloud-based data platforms (e.g., Snowflake, BigQuery) Why Join Us? Be part of a rapidly expanding hospitality company with ambitious growth plans. Work with a collaborative and innovative team committed ...

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

Pinecone, Weaviate, FAISS, Milvus) to enable enterprise knowledge solutions Data & Engineering Excellence Lead the evolution of modern, enterprise-scale data platforms (Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering and governance practices across a distributed global data estate Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) to support ...

production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI). Knowledge of databases and data technologies, such as Snowflake, BigQuery, and relational databases like SQL. Business acumen: Strong understanding of how to apply data science techniques to solve business problems and deliver tangible value. ...

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. ...

practice. This is a hands-on role that blends technical expertise with mentoring, guidance, and collaboration across teams. Core technologies include: Google Cloud Platform (BigQuery, Dataflow, Dataproc, Data Fusion, Data Streams, Cloud Functions, Airflow/Composer), SQL, Python, CI/CD tooling About you You'll have Significant experience ...