51 to 75 of 139 BigQuery Jobs in the UK

Data Engineer Embark on a Rewarding Journey with MIKI Travel: Where Your Career Takes Flight. At MIKI Travel, our 55+ years of expertise make us a trailblazing wholesale travel provider, curating unforgettable global adventures. As a premier private travel company more »

Manager. There will be opportunities for learning but if you have experience or knowledge of other analytics platforms, programming languages such as Python or BigQuery, this will be beneficial in excelling within this role. Strong communication skills and a motivated approach to learning, development, and direction are key to more »

selected candidate will also be focusing on building, designing and taking ownership of high quality data products. Key requirements: Advanced SQL Google Cloud Platform BigQuery (or Snowflake) Terraform Full understanding of CI/CD pipelines Python Expereince in leading data teams (Tech lead) Offer and Benefits: Discount scheme for more »

Familiar with digital tracking technologies (ad servers, DSPs, DMPs) Experience with big data (e.g. cookie logs) and cloud technologies - AWS, Redshift, S3, Athena, GCP, BigQuery Experience of using git for version control (e.g. BitBucket) Experience with Jupyter Notebooks Competencies Enquiring/questioning mind Ability to pick up new tools more »

Experience in commercial, data-rich BtoC environments, ideally Media, Retail, Telecommunications, Gaming or Financial Services Technical grounding across data manipulation tools such as SQL, BigQuery, Python, R Experience working with large data sets/statistics Experience using visualisation tools like Tableau or QlikView Integrity: Willingness to speak up on more »

AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. If you have experience across AWS and Azure, we can train you up on Google Cloud. Architect data models and … schemas in BigQuery to support analytics, reporting, and business intelligence initiatives. Python development Implement data governance and security best practices to ensure compliance and data integrity. Monitor and troubleshoot data pipelines, ensuring high availability and reliability. CI/CD pipeline automation utilising GitLab DevOps: GKE (Kubernetes), Terraform, Ansible Leadership more »

AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. If you have experience across AWS and Azure, we can train you up on Google Cloud. Architect data models and … schemas in BigQuery to support analytics, reporting, and business intelligence initiatives. Python development Implement data governance and security best practices to ensure compliance and data integrity. Monitor and troubleshoot data pipelines, ensuring high availability and reliability. CI/CD pipeline automation utilising GitLab DevOps: GKE (Kubernetes), Terraform, Ansible Leadership more »

Must have experience with building visualisation layer on top of the warehouse eg Power BI. Must have worked with Cloud Database technology like Google BigQuery, Snowflake etc. Should have Experience with Multi-dimensional OLAP cubes to store/reference data in semantic data layer. Asset Management data expertise. Strong more »

of opportunities Create GA4 tracking specs and troubleshooting YOUR SKILLS AND EXPERIENCE Extensive experience working with GA4 and Google Tag Manager Strong SQL and BigQuery skills Experienced in a visualisation tool such as Looker, Power BI, or Tableau Excellent stakeholder management and communication skills BENEFITS Up to more »

Google Tag Manager as well as Server-side Tagging using sGTM. Experience in data visualization tools such as Google Data Studio Working knowledge with BigQuery advantageous. Demonstrable knowledge of client-side development in JavaScript, HTML and front-end debugging. Strong interpersonal skills - experience of dealing with multiple stakeholders at more »

insights that challenge conventional norms. Experience: Working with Active Data across Web and Mobile Platforms. Google Analytics (GA4) experience Strong Skills within SQL and BigQuery (Preferable) Knowledge and proficiency in Dashboarding and Reporting in Looker (Tableau or BI) Sound Interesting? Feel free to Apply and I will get back more »

SQL and working with large and complex data sets You've had some exposure to cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc You have experience of marketing campaign design and analysis, working with customer data to find key insights to inform and drive change within more »

Experience working with Predictive, Diagnostic and prescriptive data analytics. Strong Dashboard Building experience using Tableau Experience working with large data sets using SQL and BigQuery Desirables: Experience working with Big Data technologies and Python data pipelining. GCP cloud exposure Salesforce experience. Strong Data Modelling skills using Alteryx If you more »

in Python and SQL Data Engineer Desirable Qualities: Ability to communicate effectively to technical and non technical people Nice to haves includes: Kubernetes, Docker, BigQuery, Cloud, Databases Interest in FinTech Data Engineer Responsibilities: Creating new data pipelines Implementing automated data pipelines and overseeing MLOps processes to streamline the workflow more »

API architectures (API patterns, security approaches, Spring, integration) Exposure to as many as possible of: UI frameworks (e.g. React, Angular, mobile), Databases (e.g. Postgres, BigQuery), Integration (e.g. API, gRPC, Events), Data processing (e.g. Spark, BQ SQL, or other), Decision Systems (e.g. Power Curve, SAS ID, InRule) Proven ability to more »

cycle and operational costs. What we’re looking for: Ideally, you will have exposure to GCP specifically and feel comfortable in technologies such as: BigQuery, DataFlow/Fusion/Proc, Pub/Sub, Composer. If not, you must have worked within a complex, data-driven, SaaS environment and have more »

you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP, AWS, and/or Azure services Cloud Database Management: BigQuery, Snowflake, Databricks, and Redshift Architect data models and schemas in BigQuery to support analytics, reporting, and business intelligence initiatives. Python development Implement data more »

applications for Kubernetes. Other tech components used: Google Cloud App Engine, Cloud Functions Cloud Endpoints Kubernetes Engine, Compute Engine Cloud SQL, Cloud Spanner and BigQuery Dataflow, Apache Beam DialogFlow Architecture Microservices patterns Event-driven architectures and message queues Relational and non-relational databases If you are interested in a more »

to address them promptly. Qualifications: Experience in the Analytics field; including hands on technical implementation including using technology such as Google Tag Manager, GA4, BigQuery, Looker studio, DV360 and SA360 Advanced experience in tag management systems such as Google Tag Manager (GTM). Advanced experience in serverside tag management more »

wider Data Governance and Quality frameworks SKILLS & EXPERIENCE: To be considered you MUST have experience in the following: Hands-on Data analysis skills(SQL, BigQuery, Snowflake(or equivalent), Power BI, Google Analytics(GA4 ideally)) First-hand experience working in a customer-led digital product organization(Ideally Gambling, Gaming, or more »

For: track record of engineering leadership within a scaling technology company. in modern software development, architecture, and infrastructure technologies (ideally Google-based techs – GoLang, BigQuery, GCP) to thrive in a fast-paced, dynamic environment. communication, collaboration, and interpersonal skills. mindset with a knack for innovation and problem-solving. for more »

their Finance Team. Requirements To qualify for this role, you will require: · Strong experience with dbt and SQL · Experience working within Cloud Environments (Redshift, Bigquery, Snowflake) Salary A successful candidate will receive: · A Salary of up to £75,000 · Excellent progression opportunities Process- two interview stages 1st Stage- Short more »

PostgreSQL). Track record building end-to-end machine learning models Experience with geographic data/GIS data Exposure to GCP tools (e.g. Dataflow, BigQuery, Vertex AI) Experience working in a SaaS start up is a massive bonus! Senior Data Scientist - London - Permanent Python (Jupyter), SQL, Machine Learning, GIS more »

Familiar with digital tracking technologies (ad servers, DSPs, DMPs) Experience with big data (e.g. cookie logs) and cloud technologies - AWS, Redshift, S3, Athena, GCP, BigQuery more »

Technologies: Java, Kotlin, Python (candidate is not expected to be proficient in one, and open to learn about the other) Kubernetes Apache Pulsar GCP, BigQuery, BigTable, Spark (Note: we are at an early stage, these might change these if the team decides there is a better fit) #ICBengineering #ICBcareers more »