1 to 25 of 43 BigQuery Jobs in the South East

role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing ● Experience with at least one of the programming languages like More ❯

experience in Python development for data workflows Experience building and maintaining ETL pipelines, ideally with Apache Airflow or a similar orchestration tool Hands-on experience with Google Cloud Platform (BigQuery, GCS, etc.) or another major cloud provider Good understanding of data modelling principles and the ability to translate business needs into technical solutions Strong collaboration and communication skills, with More ❯

big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer protocols 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

to define and implement data models and storage strategies. DATA ENGINEER - ESSENTIAL SKILLS: Proven experience as a Data Engineer, Data Developer, or similar role. Strong experience with GCP (e.g. BigQuery, Cloud Storage, Dataflow) and other cloud-based data solutions. Proficiency in Python for scripting and data transformation. Hands-on experience with PostgreSQL and MongoDB. Solid understanding of ETL/ More ❯

Tag Manager and Google Analytics (GA4), with a strong understanding of event-based tracking, data layers, and tagging structures for web and app. Advanced SQL and strong experience with BigQuery and Databricks. Strong experience with data visualisation tools, preferably Tableau or Looker. Proficiency in Python for data analysis is a strong plus. Experience with advanced analytics techniques, such as More ❯

quality and readiness in partnership with engineering and tagging teams. Leading and developing a team of digital analysts, providing coaching, direction, and technical guidance. TECHNICAL ENVIRONMENT Tools: SQL, GA4, BigQuery Languages: Python, R Focus Areas: Digital analytics, predictive modelling, product behaviour, insight generation No tagging responsibilities - handled by a specialist team Leadership-first role, but with enough technical depth More ❯

Requirements About You Proficient in SQL, with experience querying and transforming large datasets across marketing, sales, and customer data sources. Comfortable working with modern data stacks, ideally including Redshift, BigQuery, Matillion, Metabase, and Retool. Strong grasp of performance marketing metrics such as ROAS, CAC, CTR, CPM, and attribution models. Experienced in building dashboards and visualisations that enable data-driven More ❯

of getting things done - and done well. *Current Stack* We work with a modern data stack, but we're open to evolving as we grow. Currently, that includes: Fivetran BigQuery dbt Lightdash Hex Heap Benefits 28 days holiday per annum + Bank holidays, with the option to roll up to 5 days per annum. Employee Share Options. Private Health More ❯

reliability, and resilience. Has strong programming skills with Python – essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts More ❯

digital media, or data-focused environments Strong understanding of AdTech and marketing technologies (ad servers, CDPs, DMPs, or tagging platforms) Hands-on experience with cloud-based data platforms (GCP, BigQuery, or similar) Strong data literacy and ability to interrogate data using SQL Excellent stakeholder engagement and communication skills Experience working in agile delivery teams The Benefits: £65,000 base More ❯

and mentor a team of analysts, fostering curiosity and innovation. Act as the bridge between data and business stakeholders, translating analytics into commercial outcomes. Tech Environment Tools: SQL, GA4, BigQuery Languages: Python, R Environment: Modern data infrastructure with dedicated tagging and engineering support. No tagging work required - focus purely on insights and impact. About You 5+ years' experience in More ❯

autonomous agents, multi-agent orchestration, tool use, memory, planning) Strong hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI assurance, governance, or ethical AI is a bonus Ability to work independently More ❯

networking, IAM, and security, with a fully automated "everything as code" model using Terraform. Design and maintain a resilient GKE-based architecture while supporting core platforms such as Airflow, BigQuery, PostgreSQL, GitLab CI/CD, Coder, and observability systems. The successful candidate will have the following skills/experience - 2-4 year commercial experience within a cloud infrastructure/ More ❯

Support the development and enhancement of ad technology solutions. Analyse and document processes, data flows, and systems integrations. Contribute to projects involving ad blockers, data pipelines, and analytics (e.g. BigQuery). Experience & Skills 3+ years' experience as a Business Analyst Strong technical understanding and ability to work closely with developers. Familiarity with ad tech platforms, data signals, or video More ❯

consistency of quality and approach. YOUR SKILLS AND EXPERIENCE: 5+ years in data analytics or business insight, ideally within marketplace, tech, or eCommerce. Expert-level SQL and experience with BigQuery or Snowflake. Proven stakeholder management and presentation experience. Confident working with large, complex data sets. Desirable: Experience with Python or R for modelling and forecasting. Background in partner, marketplace More ❯

making processes within the role Technology We're pragmatic about our technology choices. These are some of the things we use now: Python, NodeJS TypeScript, React,styled-components PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytest AWS, GCP Docker, Terraform, GitHub, CircleCI How We Expect You To Work We expect you to work in these ways, as well More ❯

workload: ~75% hands-on technical analytics/25% stakeholder-facing insight and communication. PROJECT EXPOSURE GTM setup and tagging for paid campaigns. Dashboard development and automation (Looker Studio). BigQuery integration and data engineering (around 10% of role). Supporting performance decision-making with data-driven recommendations. SKILLS & EXPERIENCE REQUIRED Strong experience in digital analytics - ideally within an agency More ❯