25 of 25 Permanent BigQuery Jobs in Wales

Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯

and encourage applications from those with transferable experience. You’ll ideally bring: Experience building ETL pipelines in Python. Familiarity with analytical data warehouses (e.g. Redshift preferred, or Snowflake/BigQuery). Understanding of orchestration tools such as AWS Step Functions, Airflow, or AWS Batch. Experience working with Agile methodologies. Awareness of automated testing and delivery pipelines. Understanding of metadata More ❯

Solid development experience within a commercial environment creating production grade ETL and ELT pipelines in python Comfortable implementing data architectures in analytical data warehouses such as Snowflake, Redshift or BigQuery Hands on experience with data orchestrators such as Airflow Knowledge of Agile development methodologies Awareness of cloud technology particularly AWS. Knowledge of automated delivery processes Hands on experience of More ❯

platforms (Tableau, Power BI, Looker) to inform product decisions. About You Experienced Product Owner with strong exposure to data products and platforms. Delivery experience with enterprise data warehouses (Snowflake, BigQuery), lakes, and CDPs. Understanding of data pipelines, contracts, lineage, APIs, and data governance frameworks. Comfortable navigating GDPR, CCPA and other compliance requirements. Familiar with dbt, Airflow, and cloud platforms More ❯

insights. Experience in data visualisation and the use of BI packages to produce compelling visual outputs. Experience in the following or similar: Google Analytics 4 Google Tag Manager Google BigQuery Looker (formerly Google Data Studio) Google Analytics for Firebase Microsoft Power BI Working in Public Cloud environment, preferably Azure. SQL and Python programming languages Multichannel communications platforms like Optimove More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Job Description Company Overview: Wealthify is an ambitious, multi-award-winning online investment company located in Penarth, Wales. We’re here to inspire anyone to build their future wealth, and we do this by making investing easy, affordable, and accessible. More ❯

able to produce documentation for senior stakeholders. Data Analysis & Insights: Analyse large datasets, identify patterns and trends, and communicate key insights to stakeholders. You'll be proficient in using BigQuery and Looker to create visualisations and reports that inform decision-making. Collaboration & Cross-Functional Coordination: Work closely with operations, people (HR), finance, and other departments to align forecasting models … in a fast-paced, high-growth environment (e.g., technology, customer support, operations). Expertise in WFM software and tools. Verint experience is preferred. Strong proficiency in SQL , particularly with BigQuery . Advanced Google Sheets skills (advanced formulas, pivot tables, and data analysis). A proven track record of creating and managing sophisticated forecasting models that drive business outcomes. Experience … like to, please spell out your name how it's pronounced so we know how to say it. How many years of experience do you have with Looker and BigQuery? How many years of forecasting experience do you have? Tell us about your experience of working in forecasting Identity survey Our goal at Monzo is to make money work More ❯

able to produce documentation for senior stakeholders. Data Analysis & Insights: Analyse large datasets, identify patterns and trends, and communicate key insights to stakeholders. You'll be proficient in using BigQuery and Looker to create visualisations and reports that inform decision-making. Collaboration & Cross-Functional Coordination: Work closely with operations, people (HR), finance, and other departments to align forecasting models … in a fast-paced, high-growth environment (e.g., technology, customer support, operations). Expertise in WFM software and tools. Verint experience is preferred. Strong proficiency in SQL , particularly with BigQuery . Advanced Google Sheets skills (advanced formulas, pivot tables, and data analysis). A proven track record of creating and managing sophisticated forecasting models that drive business outcomes. Experience … like to, please spell out your name how it's pronounced so we know how to say it. How many years of experience do you have with Looker and BigQuery? * How many years of forecasting experience do you have? * Tell us about your experience of working in forecasting * Identity survey Our goal at Monzo is to make money work More ❯

Senior Data Engineer | Full Time | Bristol | Redshift/BigQuery | SQL | CI/CD | GIS | Python One of SR2's longstanding clients has engaged us to support their search for a Data Engineer to join their team and elevate their data engineering practices and principles. This role is purely engineering-focused, and the company is doing interesting work in a … environment, with a focus on career progression for all staff. Skills required: Proven experience in a Data Engineering role. Experience with Cloud platforms – AWS and GCP preferred. Experience with BigQuery/Redshift is desirable. Understanding of different databases (Structured, non-relational, Graph, etc.). CI/CD experience. Python or Java experience is preferred. GIS experience is desirable. ETL More ❯

tools; proficiency in SQL. Hands-on experience or strong theoretical knowledge of AI and GenAI techniques and methodologies. Familiarity with cloud AI platforms such as GCP Vertex AI and BigQuery, Azure AI, or similar enterprise-level AI deployment environments. Experience or knowledge of regulatory requirements and frameworks relevant to AI, such as the EU AI Act, GDPR, SS1/ More ❯

the continued scaling and optimisation of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: 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 be offering Free Certification Scheme More ❯

the continued scaling and optimisation of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: 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 be offering: Free Certification Scheme More ❯

including GA4, Google Search Console, Bing Webmaster Tools, SEMRush and Screaming Frog Experience analysing large datasets (e.g. server logs) to uncover insights and opportunities Knowledge of Python, SQL and BigQuery is desirable but not essential What's In It For You The expected range for this role is £35,000 - £50,000 This is a Hybrid role from our More ❯

modelling, data mesh, data lake) & best practices (agile, CI/CD, IaC, observability). Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more? Get in touch for an More ❯

modelling, data mesh, data lake) & best practices (agile, CI/CD, IaC, observability). Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more? Get in touch for an More ❯

and Olympic events. Key Responsibilities: Design and build large-scale data warehouses, ETL pipelines, and reporting platforms that are robust and efficient. (MUST have experience in Snowflake and BigQuery) Utilize your expertise in backend languages; the tech stack is flexible, including Java, Python, .NET, Ruby, and more. Implement strong coding principles, including CI/CD, TDD, and maintain high More ❯

using most of the following: Strong knowledge of SQL and Python programming. Extensive experience working within a cloud environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). Deep understanding of file formats and their behaviour such More ❯

years of experience with Python in a development role with a focus on data processing and analysis. Experience in and proficiency with database and cloud technologies (e.g. MySQL, Google, BigQuery, etc). Hands on individual that has the ability to work in a collaborative manner with other members of the firm. Strong written/verbal communication, problem-solving and More ❯

years of experience with Python in a development role with a focus on data processing and analysis. Experience in and proficiency with database and cloud technologies (e.g. MySQL, Google, BigQuery, etc). Hands on individual that has the ability to work in a collaborative manner with other members of the firm. Strong written/verbal communication, problem-solving and More ❯

progression opportunities across the Group, which includes several high-profile, household-name companies. What you'll bring: Experience with cloud and big data technologies (e.g., Spark, Databricks, Delta Lake, BigQuery). Familiarity with eventing technologies (e.g., Event Hubs, Kafka) and file formats such as Parquet, Delta, Iceberg. Want to learn more? Get in touch for an informal chat. #J More ❯

data sources to support decision-makers and the wider business by providing insights and analysis to support ongoing business objectives. Responsibilities Analyze large volumes of insurance-related data using BigQuery to identify trends, patterns, and opportunities for optimization. Develop and maintain reports and dashboards using Looker, MicroStrategy, and Excel to provide actionable insights to key stakeholders. Work closely with More ❯

analysis. Proficiency in data visualisation tools such as Power BI, Tableau, or Looker. Solid understanding of A/B testing and using data to optimise performance. SQL experience, within BigQuery Strong stakeholder management skills – confident communicator who can explain complex data clearly. Commercially minded with a curiosity for eCommerce and customer behaviour . Experience in the retail or eCommerce More ❯

technology, data, and business units—ensuring alignment on strategic priorities. Key Skills & Experience Strong background in Power BI (including DAX, Power Query, and custom visuals). Proficient in SQL , BigQuery , and comfortable working across cloud and hybrid data environments. Experience leading enterprise reporting projects and automating insights across functions. Confident stakeholder engagement, with the ability to present insights to More ❯