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Senior Data Analyst for GTM Analytics at Luxury Presence, focusing on building and maintaining data models with dbt, analyzing pipeline, funnel, and campaign performance for Sales, Marketing, and Client Success teams, and contributing to Lighthouse, an internal BI-as-code platform with AI-driven workflows.
Principal Data Engineer designing and building scalable Databricks data pipelines and Lakehouse architectures for a global tech consultancy, using Python, Spark, SQL, Delta Lake, and orchestration tools.
rindus invites you to join a cutting-edge data engineering initiative with an AI-first approach, building scalable data pipelines for a major fashion retailer partner. You will work in a distributed team from Málaga or…
Build and maintain scalable data pipelines and warehouse infrastructure for a climate-tech company using Python, SQL, and Snowflake to power analytics and product data.
About Span Span exists to help engineering organizations turn AI adoption into real effectiveness. As AI tools reshape how software gets built, the companies that continuously improve how their teams use AI in their…
Senior Data Analyst designs measurement strategies, builds dashboards, and interprets data to guide marketing, product, and UX decisions using tools like GA4, SQL, and BI platforms.
Build and deliver technical enablement for Hex’s partner ecosystem: design curricula, workshops, and demos; train SI/consulting partners; and support complex deals with SQL, Python, and modern data tools.
The Senior Data Engineer will design, build, and maintain scalable ETL/ELT pipelines within GCP environments. The role involves implementing data transformation logic, ensuring data quality, and collaborating with cross-functional teams to deliver scalable data solutions.
Designs, develops, and optimizes cloud-based data platforms using Snowflake, SQL, and tools like Apache Airflow and dbt to build scalable ELT pipelines and support enterprise analytics.
Build and maintain Snowflake-based data pipelines using Apache Airflow and dbt, optimizing SQL queries and modeling data for analytics.
Build and maintain data pipelines and transformations using SQL, dbt, and ELT tools to deliver clean, reliable data for analytics and reporting at an EdTech company.
Senior Data Analyst at Gigs in New York builds and maintains data models, dashboards, and metrics to drive business decisions using BigQuery, dbt, and Hex, collaborating with finance, product, and operations teams.
Owns BCB’s data warehouse in dbt on BigQuery, modeling business systems into actionable metrics and ensuring regulatory compliance while migrating from Lightdash to Omni.
Designs and governs Dyson’s enterprise data architecture, leading cloud-based data solutions (GCP, BigQuery, Airflow) to enable analytics, AI, and business strategy across global operations.
Designs and manages Apex Group’s multi-cloud data architecture, collaborating with engineers and analysts to build scalable, secure data platforms using AWS/Azure tools, while defining standards and mitigating risks for enterprise-scale fintech operations.
Department: Revenue Operations Location: Home based, UK Reports to: Sales Enablement & Performance Director Contract: Fixed-term contract, 12 months Hours: 37.5 per
The Senior Data Engineer will design, build, and maintain scalable data pipelines and infrastructure using Snowflake and Fivetran. The role involves collaborating with cross-functional teams to ensure data reliability, security, and performance for analytics and predictive modeling.
Job Description: ROLE SUMMARY Greenix Pest Control is seeking a Data Warehouse Engineer to own the raw, bronze, and silver layers of our data platform with some duties in gold layer fact and dim modeling, as part of…
Lead large-scale data platform development, build resilient Python-based ETL pipelines using Snowflake, Postgres, Airflow, and dbt, enforce SDLC best practices, and ensure data security/compliance for an airline.
Lead Data Engineer responsible for building and evolving the data stack from pipelines to platform, creating infrastructure for product intelligence, financial reporting, and self-serve analytics using technologies like Snowflake, DBT, Airflow, and AWS.
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