1 to 25 of 116 BigQuery Jobs in the UK

DevOps, integrating automated testing into a CI/CD pipeline using Jenkins or GitLab runner. Experience with either AWS, Azure OR GCP Cloud Good knowledge in GCP Storage Buckets, BigQuery, Dataflow and Cloud Functions (any Cloud). Hands-on experience with one or more programming languages (Java/JavaScript). Experience with non-functional testing using JMeter or similar More ❯

Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience, with the ability to mentor, influence, and set technical More ❯

including APIs, databases, and flat files. Assist in the setup and optimisation of data infrastructure and storage solutions, such as data warehouses and data lakes, using platforms like Snowflake, BigQuery, or Azure Synapse. Help manage cloud-based infrastructure and services across AWS, Azure, or GCP environments. Learn to monitor data quality and integrity across systems and gain an understanding More ❯

to structure information residing in the data under analysis hierarchically. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning. Deep expertise in advanced analytics, data science and traditional analytics. High More ❯

AI/ML and AI enabled analytics (LLMs, RAG, agents). Strong hands on coding skills with Spark (PySpark/Scala), SQL, dbt, and modern data platforms (Databricks, Snowflake, BigQuery). Experience with cloud platforms (AWS preferred). Proven expertise in BI and semantic modeling using tools such as Power BI, Tableau, Looker, or Mode. Strong understanding of data More ❯

industry best practices to continuously enhance data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU As much as we just love working with great, fun More ❯

for guidance. Strong SQL skills and understanding of data models and data principles. Experience with mobile-responsive dashboards and self-service analytics. Desirable Experience with cloud platforms (Snowflake, Azure, BigQuery). Python skills. Experience in agile delivery environments. Understanding of GDPR and data governance. BI tool certifications. The BI team has historically been highly technical; you will bring the More ❯

and problem-solving skills, with the ability to convert data into actionable insights. Proficiency in data visualization tools such as Power BI , or similar. Experience with Snowflake and GCP (BigQuery) or other cloud-based data warehousing technologies is highly desirable. Familiarity with Python is a plus. Working knowledge of Lead Scoring criteria, build and implementation is a plus Great More ❯

the following tools and technologies (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 You should apply if: What More ❯

SQL . Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. More ❯

and Python . Strong grasp of ETL/ELT pipelines , data modeling , and data warehousing . Experience with cloud platforms (AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery . Familiarity with streaming technologies (Kafka, Spark Streaming, Flink) is a plus. Tools & Frameworks: Airflow, dbt, Prefect, CI/CD pipelines, Terraform. Mindset: Curious, data-obsessed, and driven to More ❯

equivalent) - building models, tests, documentation, version control. Understanding of data warehousing concepts (star schemas, snowflake, slowly changing dimensions, partitioning, clustering). Experience working in a modern data stack (e.g. BigQuery, Snowflake, Redshift, Databricks, etc.) Comfortable working downstream (with BI/analytics users) and upstream (pipelines, ingestion) contexts. Familiarity with BI tools (we use Thoughtspot and Power BI). Proficient More ❯

Skills : Advanced hands-on experience with major cloud platforms (Azure, AWS, GCP), including cloud-native data services, orchestration, monitoring, and automation. Proven experience in GCP-based data platforms , including BigQuery, Dataflow, CloudSQL, Spanner, Pub Sub, Cloud composer and GKE. Data Engineering : Proficient in modern data tools and frameworks for building, operating, and optimising ETL/ELT pipelines, streaming data More ❯

Skills : Advanced hands-on experience with major cloud platforms (Azure, AWS, GCP), including cloud-native data services, orchestration, monitoring, and automation. Proven experience in GCP-based data platforms , including BigQuery, Dataflow, CloudSQL, Spanner, Pub Sub, Cloud composer and GKE. Data Engineering : Proficient in modern data tools and frameworks for building, operating, and optimising ETL/ELT pipelines, streaming data More ❯

technology solutions. Strong programming skills (JavaScript, TypeScript, Python, or similar). Experience with cloud platforms (preferably Google Cloud Platform) and serverless architecture. Advanced SQL and data warehousing skills (e.g. BigQuery). Familiarity with front-end frameworks such as React. Experience with ETL/ELT processes and data visualisation tools (e.g. Looker Studio). Knowledge of AI integrations and agent More ❯

with openness to various data platforms including AWS, Azure, and Google Cloud. Strong knowledge of data services across multiple platforms (e.g., AWS S3, Redshift, Glue, Azure Blob Storage, Google BigQuery). Expertise in data modelling (Dimensional, Data Vault, Enterprise). Experience designing and implementing modern data architectures. Proficiency with integration/orchestration tools (Airflow, dbt, Glue). Strong communication More ❯

investors and the Board Technology Background of the CTO: · Languages: Python, TypeScript/JavaScript (Node.js), Dart (Flutter), SQL/MySQL, JSON, REST, GraphQL · Cloud and Data: Google Cloud Platform (BigQuery, Cloud Run, Firestore, Pub/Sub) · DevOps and Tooling: GitHub, GitHub Actions, Terraform, Docker, Kubernetes · Monitoring: Stackdriver, Grafana, Prometheus · Security: OAuth2, SSO, IAM, ISO27001 alignment, penetration testing · Analytics and More ❯

solutions. Promote a culture of insight, simplicity, and innovation in data use. Skills & Experience Expert in Microsoft Power Platform; strong SQL skills. Experience with cloud analytics (e.g. Databricks, Snowflake, BigQuery). Skilled in automation, agile delivery, and stakeholder management. Strong understanding of data governance, CI/CD, and version control. Excellent data storytelling and visual communication skills. If you More ❯

particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version More ❯

experience with data modeling tools such as Erwin, ER/Studio, SqlDBM or SQL DB-native modelling tools. Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, GCP BigQuery) and modern data storage solutions. Strong SQL skills and good knowledge of data warehousing, lakehouses, and OLTP/OLAP systems. Demonstratable interest and awareness in emerging technologies What we More ❯

teams, and platforms in complex, data driven organizations. Strong proficiency with SQL and BI tools such as Power BI, Tableau, or Looker; familiarity with modern data platforms (e.g., Snowflake, BigQuery, Databricks). Proven ability to manage data governance, standardization, and quality assurance programs. Experience collaborating with senior leaders to define and deliver actionable insights that inform strategy and performance. More ❯

testing , including JUnit . Mindset: Excellent communication skills and a commitment to continuous learning in a collaborative Agile environment. Good to Have: Experience with GCP Data Services such as BigQuery, Spanner, Cloud Composer, or Dataflow . Exposure to Generative AI tools like LangChain, LangGraph , or similar frameworks; an interest in agentic AI solutions is a plus. Skill Matrix: SkillHands More ❯

Experience Masters degree level Exposure to working with digital analytics tools (e.g. Google Analytics or Adobe Analytics) Knowledge of coding language or modelling tools relevant to data manipulation (e.g. BigQuery, SQL, R, Python, MatLab, Stata) Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau) If this sounds like you, please get in touch We look forward to meeting you. More ❯

and lineage. Drive CI/CD practices using GitHub Actions or similar tools. Collaborate with cross-functional teams to improve platform capabilities and analytics maturity. Requirements: Proven experience in BigQuery and dbt/dataform for data warehousing and transformation. Strong SQL skills and understanding of modern data architecture principles. Hands-on experience with Tableau for enterprise-grade dashboard development. More ❯

and lineage. Drive CI/CD practices using GitHub Actions or similar tools. Collaborate with cross-functional teams to improve platform capabilities and analytics maturity. Requirements: Proven experience in BigQuery and dbt/dataform for data warehousing and transformation. Strong SQL skills and understanding of modern data architecture principles. Hands-on experience with Tableau for enterprise-grade dashboard development. More ❯