1 to 25 of 108 BigQuery Jobs

to deliver best in class data science products and solutions for end clients Exposure to cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc. more »

working with large and complex data sets to extract insights and identify trends Exposure to cloud-based analytical platforms such as Databricks, Snowflake, Google BigQuery etc. A proven background in paid media measurement and web analytics for customer journey purposes Strong technical skills with Google Analytics (GA) or Adobe more »

and CRO Analysts Speaking with internal stakeholders to explain challenges, solutions, and areas of growth Utilising skills in Google Analytics/Adobe Analytics and BigQuery YOUR SKILLS AND EXPERIENCE Proven experience with A/B testing platforms such as Adobe Target and Optimzely Strong communication skills A background in more »

working on: We’re looking for a product analyst to join our ever-developing London office. You’ll be using tools and databases including BigQuery, Tableau, DBT and Python, to tackle important problems that we’re only just starting to understand, in order to: Measure, quantify and optimise complex more »

for the data warehouse development team. Managing, prioritising and monitoring team work streams. Developing processes and standards for Ab Initio ETL product. Managing the BigQuery database platform. Gaining an intimate and detailed knowledge of the Business processes and data structures. Developing departmental standards and enforcing the adherence to the more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

in a really good place as they have worked with Data Engineers to do so. Required experience: Experience in Data Analytics they use Google BigQuery, Google Analytics 4. They also would like some familiarity in dbt. SQL Familiar with common e-commerce testing and measurement strategies such as Geo more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems 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 projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

Demonstratable commercial experience working on Data Pipelines, Data Warehouse, and ETLs. Strong Python coding skills GCP experience (GCP Datastream, Pub/Sub, Dataflow, Dataform, BigQuery) Experience with modern development methods and tooling: containers (e.g., Docker) container orchestration (Kubernetes/K8s) CI/CD experience Version control (Git, Github, Gitlab more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems 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 »

crucial role in developing and maintaining our data infrastructure, ensuring scalability, reliability, and efficiency. Key Responsibilities: Design, develop, and maintain scalable data pipelines using BigQuery, Python, and CloudRun. Collaborate with data scientists and analysts to understand business requirements and translate them into technical solutions. Implement best practices for data … date with the latest technologies and trends in data engineering and recommend innovative solutions to enhance our data infrastructure. Required Skills: Strong proficiency in BigQuery, Python, and CloudRun. Experience with building and optimizing data pipelines for large-scale datasets. Solid understanding of data modeling concepts and ETL processes. Experience more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Databricks, BigQuery Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools Commercial experience with performant database programming in SQL Capability to solve complex more »

and experience with ETL tools (e.g., SSIS, SAS DI, Informatica, Talend). Experience with data warehouse platforms (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, Snowflake). Familiarity with BI tools (e.g., Power BI, Tableau, etc.) Strong understanding of database management systems (DBMS). Knowledge of data warehousing concepts more »

good understanding of distributed version control (Git). Curiosity to experiment and improve, whilst staying aligned on outcomes. Experience with Google Cloud products (Vertex, BigQuery, GCS, Cloud Composer, Dataflow etc.) or similar products from other cloud platforms Appreciation of data management, analytics, science, and visualisation workflows and data needs more »

maintenance of data pipelines and data storage systems on Google Cloud Platform (GCP). You will be working with technologies such as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics purposes. Our business more »

Flink, or Hadoop. > Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure. > Experience with data warehousing technologies such as Redshift, BigQuery, or Snowflake. > Knowledge of database systems such as MySQL, PostgreSQL, or MongoDB. > Excellent problem-solving skills and attention to detail. > Strong communication and collaboration more »

maintain scalable data architectures, including pipelines and cloud-based data warehouses. Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/Tableau Industry: Fintech, Maritime trading Immersum are supporting the growth of a specialist consultancy who solely specialise in the Maritime trading industry. more »

experience with relevant libraries (e.g., pandas, numpy). • Extensive experience with ETL tools and processes. • Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). • Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). • Exposure to cloud platforms (e.g., AWS, GCP, Azure) and their more »