1 to 25 of 81 BigQuery Jobs in the South East

needed. Requirements: Strong proficiency in Python for data engineering tasks. Experience with cloud platforms (e.g., AWS, Azure, or GCP), including services like S3, Lambda, BigQuery, or Databricks. Solid understanding of ETL processes , data modeling, and data warehousing. Familiarity with SQL and relational databases. Knowledge of big data technologies , such More ❯

pipelines. Work with Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and ETL processes. Apply infrastructure-as-code practices using tools More ❯

/ELT pipelines and database technologies like PostgreSQL and MongoDB Familiar with major cloud platforms and tools, ideally Amazon Web Services and Snowflake or BigQuery Solid understanding of data transformation, advanced analytics, and API-based data delivery Ability to work across departments with a collaborative, problem-solving mindset and More ❯

data engineering, with a strong focus on Google Cloud Platform (GCP)-based solutions. Proficiency in the GCP platform, particularly in Data & AI services (e.g., BigQuery, DataProc, Cloud SQL, DataFlow, Pub/Sub, Cloud Data Fusion, Cloud Composer, Python, SQL). Designing, developing, and deploying scalable, reliable, and secure cloud More ❯

customer segmentation, forecasting, and LTV analysis • Maintain code-driven workflows and version control through GitHub What We’re Looking For: • Strong SQL skills (Google BigQuery or similar cloud platforms) • Proficiency in Tableau or other data visualisation tools • Understanding of data modelling (Kimball methodology preferred) • Experience with DBT/Airflow More ❯

is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities: Design More ❯

fostering a positive and inclusive team culture What we’re looking for: Hands-on experience building and maintaining cloud-based data systems (e.g., Redshift, BigQuery, Snowflake) Strong coding skills in languages commonly used for data work (e.g., Python, Java, Scala) Deep understanding of ETL/ELT tools and workflow More ❯

star schemas and de-normalised structures Required Skills & Experience: Strong experience using data modelling tools Hands-on experience with Google Cloud technologies such as BigQuery, GCS, and Kafka Advanced SQL skills and experience with ETL tools (e.g., SSIS), scripting in Python and Unix Shell Familiarity with Agile methodologies Strong More ❯

familiar with the auditing process to verify the efficacy of the data being captured. Naturally you’ll be comfortable working with SQL and ideally BigQuery (though a similar data warehousing technology is fine) with PowerBI experience being a big bonus, though by no means essential. Bonus points if you More ❯

familiar with the auditing process to verify the efficacy of the data being captured. Naturally you’ll be comfortable working with SQL and ideally BigQuery (though a similar data warehousing technology is fine) with PowerBI experience being a big bonus, though by no means essential. Bonus points if you More ❯

expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to work with Snowflake, Databricks, BigQuery, and Fabric. We work with near real-time/streaming data, geospatial data and using modern AI-tooling to accelerate development. About You You More ❯

with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated More ❯

external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This More ❯

POV/POCs, configuring a cloud storage bucket for a customer to upload sample data to, configuring cloud permissions to access a customer’s BigQuery instance in order to create a materialized view. What You’ll Need Technical Expertise Comfortable working with APIs (REST, GraphQL). Able to interpret More ❯

drive business decisions. Collaboration & Reporting : Work cross-functionally, preparing and presenting reports to guide business strategy and project outcomes. Essential tools - Power BI Python BigQuery Google Cloud Platform Looker Google Analytics 4 (GA4) Solid understanding of CRM data structures and behaviours Comfortable working with large, complex datasets Experience in More ❯

data integration issues and develop creative solutions. Nice to Have: 1. *Cloud Data Platforms*: Experience with cloud data platforms such as AWS Redshift, Google BigQuery, or Azure Synapse Analytics. 2. *Data Science*: Knowledge of data science concepts and experience with data science tools such as R, Julia, or TensorFlow. More ❯

Architect with us? Create Solution architectures for Data Engineering and Analytics projects using google native products like Pub/Sub, DataFlow, Cloud Functions, Google BigQuery and Looker Create Solution architectures for Data Engineering and Analytics projects using AWS products like S3, Redshift, QuickSight and AWS SageMaker Build High performance More ❯

Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant database programming in SQL Capability to solve complex More ❯

at least 2 Cloud platforms (Azure, AWS, GCP, Snowflake, Databricks) and Big Data processing (e.g., Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka, Dataflow, Airflow, and ADF. Strong ETL and data modeling skills. Proven ability to design and More ❯

in SQL, Python, SSIS, and shell scripting Familiarity with data modelling tools like ER/Studio Experience working with Google Cloud Platform components (e.g., BigQuery, GCS, Kafka) Knowledge of agile development practices Comfortable engaging with clients and working collaboratively within cross-functional teams More ❯

impact What We're Looking For: 3+ years in a commercial data analytics role Leadership potential or mentoring experience Advanced SQL skills; experience with BigQuery Expertise in Looker (or similar), with a knack for clean, impactful visualisation Strong knowledge of data modelling, regression and cohort analysis Proven ability to More ❯

media landscapes. Strong track record of managing client or stakeholder relationships. Able to explain technical concepts in simple, business-friendly language. Skilled in SQL, BigQuery or similar, with Python or JavaScript as a plus. Experience applying statistical techniques to business problems Degree (or equivalent) in a statistics-based subject More ❯

expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to work with Snowflake, Databricks, BigQuery, and Fabric. We work with near real-time/streaming data, geospatial data and using modern AI-tooling to accelerate development. About You You More ❯

The tech stack includes: Infrastructure: Google Cloud Backend: Python for internal API codebase, running on a Postgres database hosted with Google Cloud SQL Data: BigQuery, DBT, and Tableau Frontend: Typescript and React Mobile/Apps: Flutter What’s on Offer Generous time off. Equity package. Comprehensive health coverage. Pension More ❯

role, ideally in retail or fashion. Strong commercial awareness and ability to work cross-functionally with non-technical teams. Hands-on experience with SQL (BigQuery ideally), plus Looker Studio or similar BI tools. Confident communicator, comfortable presenting to senior stakeholders and influencing decisions. Experience with tools like Fospha, ContentSquare More ❯