1 to 25 of 78 BigQuery Jobs in the City of London

About FairPlay Sports Media: We’re a sports media network, focused on building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners. We empower sports fans with real More ❯

years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling More ❯

Job Title: Senior Data Engineer Location: Abu Dhabi Job Summary: As a Senior Data Engineer , you will be responsible for designing, developing, and maintaining advanced, scalable data systems that power critical business decisions. You will lead the development of robust More ❯

and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure for data collection, management, transformation … Experience with creating AI Agents. Develop and maintain efficient data pipelines, ETL processes, and data warehousing solutions. Proficiency in Python and SQL. Demonstrable expertise in Google Cloud Platform (e.g., BigQuery, BQ Sharing (Analytics Hub), Cloud Functions, Dataflow, Looker Studio) to build scalable and secure data solutions. Other cloud-based technologies such as Windows Azure, AWS are desirable. Hands-on More ❯

engage technical and non-technical stakeholders alike. The Head of BI will work within a modern, cloud-based BI ecosystem , including : Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics More ❯

coding skills in Python for data transformation, scripting, and automation. Experience with cloud platforms such as AWS (e.g., S3, Redshift, Lambda) , Azure (e.g., Data Factory, Synapse) , or GCP (e.g., BigQuery, Cloud Functions) . Familiarity with data orchestration tools (e.g., Airflow, dbt) and version control (Git). Solid understanding of data governance, security, and compliance frameworks . Nice to Have More ❯

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 ❯

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 ❯

to scale Architecture: Medallion Dashboarding & Visualisation: Mode Analytics (SQL-based) Ideal Background: Strong SQL skills with hands-on experience in dbt and modern cloud data warehouses (e.g. Redshift, Snowflake, BigQuery) Familiarity with ELT tools (e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflows Solid understanding of data modelling, warehousing principles, and analytics best practices Experience More ❯

experience in a similar role. Ability to lead and mentor the architects. Required Skills : Mandatory Skills [at least 2 Hyperscalers]: GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred Skills : Designing Databricks based solutions for Azure/AWS More ❯

years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills: Designing Databricks based solutions for Azure/AWS, Jenkins More ❯

building and operating large-scale data platforms on Google Cloud Platform, with a focus on data quality at scale. Hands-on expertise in core GCP data services such as BigQuery, Composer, Dataform, Dataproc, and Pub/Sub. Strong programming skills in PySpark, Python, and SQL. Proficiency in ETL processes, data mining, and data storage principles. Experience with BI and More ❯

ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a More ❯

ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a More ❯

years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for Azure/AWS, Jenkins More ❯

years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for Azure/AWS, Jenkins More ❯

Senior Data Engineer/Data Analytics Engineer - Full Remote Working from anywhere in the UK SQL+Python+ETL+ Apache Airflow Our client is a global leading and fast growing high tech company: -Over 6,500 employees across 20+ offices; -300 Million+ active More ❯

Data Engineer - BigQuery Salary: £75,000-£80,000 Role type: Permanent Location: London/Hybrid Our … client is seeking a skilled Data Engineer to take the lead in developing and optimising their data systems. This role will focus on SQL database application development, utilising Google BigQuery as the new platform for data management, and supporting the development of data analytics and visualisation tools such as PowerBI. The Data Engineer will be responsible for ensuring seamless More ❯

trends) Empower and support continuous improvement for our labelling team, processes and technologies Identify patterns in model performance and recommend specific areas for improvement in training Design and implement BigQuery tables and schemas for efficient data storage & analysis Act as a champion for model explainability, gathering and sharing insights from existing images, running experiments with new data sources and … team with data-driven solutions Required Qualifications SQL (BigQuery and PostgreSQL) proficiency and Python programming skills Experience with Google Cloud Platform Experience with big data warehouse systems (Google BigQuery, Apache Hive, etc) Hands on experience working with machine learning teams; understanding of the core concepts of model evaluation techniques and metrics, and suitable choices of their usage Experience More ❯

migration project from a legacy CRM platform. As Senior Data Analyst, you’ll take ownership of building ETL pipelines that extract data from Junifer and populate data models in BigQuery, helping to deliver clean, accurate data for business-critical analysis and insight. The Senior Data Analyst will have: Proven experience in large-scale … data migration projects (ideally within the energy sector) Deep understanding of Gentrack Junifer data models Advanced SQL skills for both data extraction and transformation Hands-on experience with Google BigQuery and Dataform Experience designing and implementing data warehouse models This is a rewarding opportunity for a contract Senior Data Analyst who enjoys solving complex data challenges and contributing to More ❯

documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is a plus Benefits More ❯

communications both internally and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced More ❯

any of the following, that’s a bonus—but not a requirement: Big data tools (e.g., Spark, Databricks, Elasticsearch) Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment, sports, or consumer-focused tech Understanding of retention strategies or regulated industries What’s in It More ❯

record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or energy sector. Experience with cloud More ❯

Description: Key Responsibilities Provide technical leadership and strategic direction for enterprise-scale data migration and modernization initiatives. Architect end-to-end data platforms using Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Define and implement real-time and batch processing pipelines for complex use cases involving streaming analytics, ML feature engineering, and automation. Act as a trusted … and data engineering with proven skills and leadership in large-scale cloud data programs. 5+ years of advanced expertise in Google Cloud data services: Dataproc, Dataflow, Pub/Sub, BigQuery, Cloud Spanner, and Bigtable. Hands-on experience with orchestration tools like Apache Airflow or Cloud Composer. Hands-on experience with one or more of the following GCP data processing … of data lakehouse design, event-driven architecture, and hybrid cloud data strategies. Strong proficiency in SQL and experience with schema design and query optimization for large datasets. Expertise in BigQuery, including advanced SQL, partitioning, clustering, and performance tuning. Experience with version control systems (e.g., Git). Track record of success advising C-level executives and aligning technical solutions with More ❯