101 to 125 of 516 BigQuery Jobs

based lift tests, holdout studies) and third-party measurement partners. Ability to write your own SQL against a data warehouse such as Snowflake or BigQuery Familiarity with CRM and marketing automation data — Salesforce in particular — and how the marketing-to-sales handoff actually works. Experience with experimentation and behavioural ...

tools or reporting platforms. Experience designing analytics-ready datasets rather than ingestion pipelines. Strong experience with cloud data warehouse platforms (preferably Google BigQuery/GCP). Strong data analysis and data profiling capability with the ability to interpret complex datasets. Experience implementing analytical modelling approaches such as star schemas ...

Configuration Management processes. Experience working within enterprise-scale IT environments. Strong analytical, communication and stakeholder management skills. Desirable Skills Google AppSheet, Apps Script, BigQuery and Looker Studio. Microsoft Power Platform and Power BI. Remedy CMDB or ServiceNow CMDB. Python and JavaScript. ETL and data integration technologies. Asset Management, Service ...

transformed and made available for reporting, analytics and business decision making. The Role You'll inherit an established platform built around Snowflake, AWS, SQLMesh, BigQuery and Omni with the autonomy to improve and evolve it as the company continues to expand. Key responsibilities include: Own and evolve the data ...

consider hardest to buy: translating how the business works into models and numbers people can act on. What the role involves dbt on BigQuery, day to day. Model design, data quality, the source-of-truth layer, and every change that lands in it. Joining the business together across systems. ...

such as Erwin, ER/Studio, SqlDBM or SQL DB-native modelling tools. Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, GCP BigQuery) and modern data storage solutions. Strong SQL skills and good knowledge of data warehousing, lakehouses, and OLTP/OLAP systems. Demonstratable interest and awareness ...

operational challenges in batch and hybrid pipelines. Data platforms & analytics systems: You have hands‐on experience with analytics platforms such as Snowflake and BigQuery, including schema design, data modeling, SQL‐based analysis, and reasoning about performance, cost, and access patterns in real‐world environments. Streaming & event‐driven data ...

when a model is degrading and what to do about it. [Bonus] Experience with VertexAI TOOLS & TECHNOLOGIES Languages: Python, SQL Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS Step ...

it. Confident SQL. Handed an unfamiliar schema, you can get to a defensible answer without help. Hands‐on with a modern warehouse (Snowflake, BigQuery, Redshift or similar) and a transformation layer (dbt or equivalent). You've written and maintained the models, not just commissioned them. Hands‐on with ...

that support reporting, automation, AI and smarter decision‐making across the firm. Задачи: Lead the design and delivery of scalable, resilient data pipelines into BigQuery from internal systems, APIs, databases, files, webhooks and event streams; Shape the engineering approach across Google Cloud Platform, including BigQuery, Cloud Storage … senior or leadership‐level work Advanced SQL and Python skills for building reliable, production‐ready data solutions Strong experience with cloud data warehouses, ideally BigQuery, and working knowledge of the wider Google Cloud Platform ecosystem Experience with Airflow/Cloud Composer, dbt, Git/GitHub, CI/ ...

visualisations * Ability to communicate technical findings to non-technical stakeholdersDesirable experience but not essential:* Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA) * BigQuery, Snowflake, or other cloud data platforms * Customer Data Platforms (CDPs) * Data privacy and consent management frameworksApply today with your CV to find out more about ...

teams. Good understanding of conversion optimisation and digital customer journeys. Looker Studio experience would be beneficial. Power BI is also relevant. SQL/BigQuery is a nice-to-have rather than essential. Experience with app analytics or digital product analytics would be advantageous. Experience with Mixpanel would be useful. ...

teams. Good understanding of conversion optimisation and digital customer journeys. Looker Studio experience would be beneficial. Power BI is also relevant. SQL/BigQuery is a nice-to-have rather than essential. Experience with app analytics or digital product analytics would be advantageous. Experience with Mixpanel would be useful. ...

teams. Good understanding of conversion optimisation and digital customer journeys. Looker Studio experience would be beneficial. Power BI is also relevant. SQL/BigQuery is a nice-to-have rather than essential. Experience with app analytics or digital product analytics would be advantageous. Experience with Mixpanel would be useful. ...

teams. Good understanding of conversion optimisation and digital customer journeys. Looker Studio experience would be beneficial. Power BI is also relevant. SQL/BigQuery is a nice-to-have rather than essential. Experience with app analytics or digital product analytics would be advantageous. Experience with Mixpanel would be useful. ...

Google Cloud Storage preferred) Support PyTorch-based workflows, particularly around data loading and dataset management in the cloud Build and optimise data integrations with BigQuery and SQL databases Ensure efficient memory usage and performance when handling large datasets Collaborate with ML engineers to support training and experimentation pipelines (without ...

Certified Data Engineer; Azure Solutions Architect Expert; Google Professional Cloud Architect) Experience with competitive platforms (Snowflake, cloud-native data services, Azure Synapse, BigQuery) — understanding the landscape you'll position against Background in a data/AI company or cloud provider About Databricks Databricks is the Data and AI company. ...

building production‐grade ETL/ELT pipelines and orchestration with Apache Airflow . Solid experience on Google Cloud Platform , such as: Data services (e.g., BigQuery, Cloud Storage, Pub/Sub, Dataflow) and/or container platforms (e.g., GKE, Cloud Run) IAM, networking, secrets management, and environment separation Strong software ...

generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands‐On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas ...

will work within a collaborative startup team to deliver modern data solutions using Agile and DevOps practices. Ideal candidates have experience with Snowflake, BigQuery, Redshift, and visualization tools like Power BI or Tableau, and are committed to continuous learning and knowledge sharing within the team. #J-18808-Ljbffr ...

Python | SQL | BigQuery | Neo4j | Data Engineering | Knowledge Graphs The Role I'm working with a business investing heavily in enterprise AI, search and knowledge management capabilities. They're looking for a Data Engineer to help build the data foundations that sit behind large-scale AI and knowledge discovery platforms. ...

other projects during this period. Qualifications Must‐Have Data Engineering : Experience with SQL , Python , ETL , ELT , and tools like Spark , Kafka , Airflow , dbt , Snowflake , BigQuery , or Databricks on AWS , GCP , or Azure . Sales : Experience as Account Executives, Account Managers, Customer Success Managers, SDRs, BDRs, or Sales/Revenue ...

major cloud provider (AWS, Azure, or GCP). Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate. Disciplined use of AI tools across the delivery process with the ability to validate output, supported ...

practices in data storytelling. A Data Architect: You have a high bar for data quality and have experience working within modern data stacks (e.g BigQuery, dbt, Airflow) What’s In It For You A range of flexible working options to dedicate time to what matters to you Competitive compensation ...

practices in data storytelling. A Data Architect: You have a high bar for data quality and have experience working within modern data stacks (e.g BigQuery, dbt, Airflow) What’s in it for you: Competitive compensation package + bonus 25 days holiday per year, increasing to 28 days after ...