1 to 25 of 59 BigQuery Jobs in Slough

in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud More ❯

of experience working in a similar role. Strong Python development skills, particularly for developing and testing data pipelines. Experience with cloud-based data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other More ❯

or AI transformation projects Proven track record in designing and maintaining large-scale data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and 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 ❯

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 ❯

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 ❯

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 ❯

supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to engage with cross-functional teams 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 ❯

workflows and platforms Key Responsibilities Design, develop, and maintain scalable data pipelines on GCP (Or other cloud services ie. Snowflake) using services such as BigQuery and Cloud Functions. Designing and building data models for analytics, reporting, and data science applications in Looker/Metabase(Visualisation solutions) using (explores, views … etc) which will enable users across the organization to self-serve analytics. Strong Python (Pandas/SQL Alchemy) & SQL(BigQuery/Snowflake) skills for maintaining ETL/ELT pipelines. Developing tools and processes to ensure the quality and observability of data Monitoring and improving the performance and efficiency of 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 ❯

data architecture and processes to improve reliability, data quality and consistency. Requirements: Strong experience working across a modern cloud environment, a GCP stack including BigQuery or Snowflake DWH, Fivetran and transformation in dbt. Strong skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or More ❯

management etc.) * Experience with any cloud-based infrastructure (GCP/AWS/Azure), highly available and fault tolerant applications. * Our tech stack: GCP (GKE, Bigquery, CloudSQL, CloudMonitoring etc), but any other public cloud experience is relevant, Kubernetes, Terraform, GitHub Actions, Helm. * Proficiency in Infrastructure as Code – Terraform * Network Fundamentals More ❯

position, the following experience is required: Strong technical leadership (minimum of 2-3 years at Lead level) Experience across GCP and Google Suite (eg. BigQuery, Google Consul etc) Strong history of Data Engineering and Backend Development with Python Hands-on experience across SQL and other DB technologies This position More ❯

to play a part in shaping the function, being close to the strategic decisions that drive the businesses growth. You'll be using Google BigQuery and Looker for dashboarding and visualisations. They typically love people from a gaming background so this would be massively beneficial. Please do apply below More ❯

proposals. Skills & experience: 10+ years in digital marketing, with 5+ in analytics or measurement-focused roles Strong hands-on experience with Google Analytics, GTM, BigQuery, and coding in Python, SQL or R Deep understanding of attribution modelling, econometrics, and marketing mix analysis Knowledge of privacy-first tracking and evolving More ❯

accuracy (BLEU/ROUGE, human‐in‐the‐loop, automatic hallucination checks). Deploy & monitor services on GCP (Cloud Run, Vertex AI, Pub/Sub, BigQuery) with Terraform, CI/CD, logging, metrics, and alerting. Collaborate closely with product, mobile, and medical SME teams to refine requirements and ship weekly More ❯

candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would More ❯

key-stakeholders Gain exposure to global scale FinTech projects Skills/Experience: 5+ years’ in a Senior Data Analyst role Strong SQL skills (Snowflake, BigQuery, Oracle etc) Strong Reporting/Visualisation skills (Looker, Tableau etc) Salary/Remuneration: Up to €55,000 + 5% Bonus Interested? Contact Brandon McCann More ❯

confident in the tool as you’ll be acting as an SME on the tool for the entire business Strong use of SQL with BigQuery Data visualisation – can be any tool e.g. Power BI, Tableau, Looker etc Strong stakeholder engagement, confident, has provided insights and recommendations Curious and commercial More ❯