21 of 21 BigQuery Jobs in the East Midlands

. Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment ...

Data Science. You’ll enable our data driven approach, and: Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases. Focus on optimisation of our Data Warehouse, spotting opportunities to reduce ...

patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps : Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking. Data Migration : Assessment methodologies, migration patterns, data validation, cutover ...

patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps : Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking. Data Migration : Assessment methodologies, migration patterns, data validation, cutover ...

technologies (although we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousing PyData stack for model development and offline deployment Google Vertex AI platform for cloud computing ...

note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science Go to write our application code AWS for most of our backend infrastructure ...

note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science Go to write our application code AWS for most of our backend infrastructure ...

data (text and images) Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where ...

appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred). Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau ...

appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred). Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau ...

Nice to have: Adobe AEP, Financial Services, multi-market experience Data Integration & System Engineers Build scalable data pipelines supporting decisioning systems. Key Skills: GCP (BigQuery) & Hadoop/Cloudera (mandatory) Spark, Scala, Python, SQL Data pipelines (batch & near real-time) Data modelling, governance & CI/CD Pega CDH integration experience ...

design and scalability of data models that measure the performance of our product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Be a key voice in shaping ...

design and scalability of data models that measure the performance of our product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Be a key voice in shaping ...

environment Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care). Experience with any of our stack of dbt, BigQuery and Looker Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they ...

documentation skills for both internal and customer-facing materials Bonus Technical Skills Cloud Infrastructure: GCP (App Engine, Firestore, Cloud Functions, IAM, Pub/Sub, BigQuery) Infrastructure as Code: Terraform, CloudFormation, or similar CI/CD: GitHub Actions, CircleCI, or similar platforms Programming: Python, Go, Bash for automation and tooling ...

banking environment Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care) Experience with any of our stack of dbt, BigQuery and Looker Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they ...

Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. … paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark ...

integrating new services and tools, such as Salesforce, Segment, HubSpot, Stripe is beneficial Experience with SQL and data warehousing/pipelining tools such as BigQuery, Airflow, etc Proven experience in navigating and transforming legacy codebases, as well as leading greenfield projects ...

We're looking for an experienced Analytics Engineer to help shape our data foundations and deliver high quality, trusted insights across the business. You'll design and maintain scalable analytics models, ensure data quality, and ...

trends, and communicating key insights to stakeholders. You'll use Google Sheets and Looker to create visualisations and reports, with a basic knowledge of BigQuery being a bonus. Creating and reviewing shift offerings to support business growth and improve our flexible working employee rating. Showing the operational impact … synthesise data, identify trends, and translate insights into actionable strategies. It's a bonus if you have familiarity with Looker, basic knowledge of BigQuery, or experience with scenario planning, resource modelling, and strategic capacity planning. You can work autonomously, manage multiple priorities, and thrive in a dynamic environment. ...

Architecture design and long-term technical strategy Server-side rendering pipeline using Node.js, Fastify 5, and React 19 Data layer across MySQL and BigQuery GCP infrastructure including Cloud Run, Cloud Build, and Global Load Balancer Ad-tech integrations including Google Ad Manager, GTM, GTag, and GPT.js Performance optimization … following: Node.js with TypeScript in production React in a server-side rendering context MySQL including database design, query optimization, and ORM usage BigQuery for querying and managing large-scale datasets GCP with hands-on experience in Cloud Run, Cloud Build, Cloud SQL, and Load Balancing. GCP certification ...