26 to 50 of 501 BigQuery Jobs in the UK

storage, tagging). Python for analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt). J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

Experience Proven experience in the market as a SQL and PLSQL developer. Extensive experience with any SQL cloud databases like Snowflake/Redshift/BigQuery/Azure SQL database. Experience with any on-premise SQL database like MS SQL Server, Teradata etc. Clear understanding of one ETL tool ...

data technologies Strong proficiency in Python and SQL Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of data warehousing concepts and tools (Snowflake, BigQuery, Redshift) Experience with ETL tools (Airflow, dbt, or similar) Familiarity with version control (Git) and CI/CD practices What We Offer Competitive salary ...

with big data frameworks (e.g., Spark, Hadoop, Flink) and cloud platforms (AWS, GCP, or Azure). Familiarity with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and workflow orchestration tools (e.g., Airflow, Luigi). Strong knowledge of data security, compliance, and governance frameworks. Effective communication in English. Preferred Qualifications Experience ...

proven track record of designing end-to-end data systems. Technical proficiency: Solid expertise in SQL and Python, experience with cloud data warehouses (e.g., BigQuery, Snowflake, or Redshift), and data transformation tools (such as dbt). Pipeline mastery: Practical experience building and operating batch or streaming pipelines using orchestration ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake. Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security, and appropriate ...

Data Science. You'll enable our data driven approach, and: Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases. Focus on optimisation of our Data Warehouse, spotting opportunities to reduce ...

practices: strong grasp of SQL, data modeling, pipeline design, and tools like dbt, Airflow, Fivetran, and similar Hands‐on experience with cloud data warehouses (BigQuery, Redshift, or Snowflake); understanding of performance optimization, partitioning, and data quality patterns Ability to articulate data strategy and complex technical solutions simply to both ...

stakeholder engagement and communication skills Experience working within Agile delivery environments Desirable Experience: Google Cloud certifications Experience with Docker or containerisation technologies Exposure to BigQuery, Spark, Dataproc, or similar technologies Knowledge of DataOps and DevOps practices Understanding of UK GDPR and data governance principles #J-18808-Ljbffr ...

analytics engineering best practices. * Experience with source control, CI/CD, and modern development practices. * Excellent stakeholder management and communication skills. Desirable: * Google Cloud, BigQuery, dbt, Looker, or similar modern data stack technologies. * Cloud or analytics certifications. * Experience in fast-paced, project-driven environments. What's on Offer ...

technical business users. Delivery Frameworks: Comfortable working within Agile and Waterfall project delivery methodologies. Desirable: Cloud Infrastructure: Hands-on experience with Google Cloud Platform (BigQuery, GCP storage) or equivalent cloud providers (AWS/Azure). Programming Languages: Proficiency in Python, R, or general-purpose scripting languages. Analytics Tools: Exposure ...

analytical workloads leveraging leading cloud technologies (AWS, GCP, Azure). ENABLE hybrid cloud transformation – design and implement modern hybrid data architectures (e.g., Snowflake, Redshift, BigQuery) and drive migration of legacy systems to cloud-native solutions to unlock agility and performance. OPTIMISE AND SECURE cloud environments – evaluate cloud environments ...

leveraging leading cloud technologies (AWS, GCP, Azure).We **ENABLE** hybrid cloud transformation – You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We **OPTIMISE** and **SECURE** cloud environments – You will evaluate ...

. What you'll be doing Design and build scalable ETL/ELT data pipelines across multiple enterprise data sources Develop data solutions using BigQuery, Google Spanner, Neo4j and vector databases Build and maintain Knowledge Graphs connecting enterprise entities, systems and knowledge assets Develop and optimise search indexing ...

idea through to delivery and adoption. Advanced SQL skills with experience querying large datasets accurately and efficiently. Experience with cloud data platforms such as BigQuery, Google Cloud Platform or AWS. Experience building dashboards, reporting products and self-serve insight tools. Strong understanding of data modelling, ETL/ELT processes ...

Experience with experimentation and optimisation frameworks Python/R or exposure to advanced analytics Experience with modern data platforms (such as Azure, Databricks, Snowflake, BigQuery) Additional Information Salary£65,000 - £75,000 (based on experience) + benefits package Location: Hybrid working with onsite travel tothe office in Basingstoke. Candidates ...

successful Data Engineering Lead will have the following skills and experience: Strong SQL and Python skills Experience working with cloud data warehouses, ideally BigQuery Knowledge of dbt or similar transformation frameworks Experience building and maintaining data pipelines and ETL/ELT processes Exposure to BI and dashboarding tools, particularly ...

Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience: 5+ years ...

scientist, analytics engineer, or quantitative analyst, ideally at a fintech, payments, marketplace, or consumer tech company. Strong SQL. You can navigate large, messy warehouses (BigQuery, Snowflake, Redshift, or similar) and write performant, readable queries. Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least ...

Data Governance and Data Classification policies. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Python CI automation systems such as Jenkins A git‐based source control system such as BitBucket Data ...

Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience 2+ years ...

Data Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such ...