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Senior Data Analyst on SeatGeek's Analytics team focused on the supply side of its live-events ticket marketplace: analyzing seller and marketplace data to guide fees, fulfillment standards, and client partnerships. Core stack is SQL (Python a plus) with Redshift, Looker, Hex, dbt, and Airflow.
Mid/Senior Data Engineer helping consulting firm Exerizon build its data team from scratch, working on Data Lake/Lakehouse projects and AI-assisted data migrations for clients. Core stack: Databricks, SQL, Python, data warehouse modeling, orchestration (Airflow/Dagster/dbt), and Azure or AWS; fully remote within Poland.
Principal Data Engineer at ZoomInfo who owns the technical vision, architecture, and engineering standards for the enterprise data platform — designing scalable ingestion, storage, transformation, and consumption systems while mentoring engineers and driving cross-team technical decisions. Stack includes Python, SQL, Airflow, dbt, Snowflake, BigQuery/Redshift, Fivetran, and AWS/GCP.
Onsite Data Engineer in Abu Dhabi building and maintaining scalable ETL/ELT pipelines, data warehouses/lakes, and real-time batch infrastructure that power analytics and AI/ML products. Core stack: Python, SQL, Airflow/Spark, cloud data warehouses (Snowflake/BigQuery/Redshift), AWS/Azure/GCP, Docker/Kubernetes.
Solutions Architect at Cleartelligence, a data, analytics, and AI consultancy, serving as a trusted client partner who leads end-to-end data engagements: defining cloud data architecture (Snowflake, Databricks, dbt, Sigma), overseeing ETL/ELT and AI/ML implementations, and managing cross-functional teams while contributing to business development.
BI Engineer on Deliveroo's (DoorDash group) Core BI team in London: builds and operates the Looker and Sigma platforms, owns the semantic layer (LookML/Canvas models, metric definitions), automates BI administration, and supports migrations and production incidents. Core stack: Python, SQL, Looker/LookML, Sigma, dbt.
Marketing-focused data analyst at a venture builder: diagnoses acquisition funnels, attribution and unit economics (CAC, ROAS, LTV) across the startup portfolio, reconciles data between ad platforms and trackers, and runs A/B tests to guide scaling decisions. Core stack: Google/Meta/TikTok ads, SQL, GA4/GTM, AppsFlyer/Adjust, BI tools.
About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing…
Senior Data Engineer who designs, builds, and operates batch and streaming data pipelines in a regulated healthcare setting, using Dagster, dbt, and BigQuery on GCP. Supports data science/ML workflows for precision cardiology and owns CI/CD, monitoring, and data quality for the platform.
Senior engineer at Accenture Italia in Rome designing and industrializing data platforms for embedded and IoT systems. Day to day: building Lakehouse/Data Mesh architectures with governance, data contracts and metadata management, and defining batch/streaming pipelines using dbt, Spark/PySpark and Kafka.
Data engineer on Sofidel's corporate IT team, designing and maintaining ETL/ELT pipelines and data models that collect, transform and serve data from business and manufacturing systems for reporting, analytics and AI solutions, using SQL, Python, Spark/Databricks, Airflow and cloud data platforms.
Data engineer at a research foundation supporting digitalization of the paper-making industry (tissue/hygiene), splitting time between an industrial partner's site and Start Attractor. Day to day: designing and maintaining ETL/ELT pipelines and the data platform using SQL, Python, Spark/Databricks, Airflow and cloud services, also feeding AI/agentic use cases.
Nine-month fully remote freelance Data Engineer role building and maintaining batch and streaming pipelines, dbt transformations, and data models on a software company's data platform. Core stack: SQL, an orchestrator (Airflow/Dagster/Prefect), dbt, and Git, with cloud/Spark/Kafka as pluses.
Senior Data Engineer on the Insights & Enablement team within Just Eat Takeaway.com's Retail Media Tech, building scalable batch and streaming data pipelines, Snowplow-based event attribution, Gold Layer marts in BigQuery with dbt, Airflow ELT workflows, a semantic layer for BI, and AI-assisted tooling.
Principal Data Engineer owning Prodege's next-generation data platform end to end — architecture, batch/ELT/near-real-time pipelines, governance, and observability — powering BI, experimentation, and ML at scale using Snowflake, dbt, Iceberg, Trino, and Kafka. A hands-on, principal-level leadership role in El Segundo, CA.
“As our Marketing Technology Engineer, you’ll do more than keep our data platform humming — you’ll build the AI applications and agents that put that data to work, automating how our marketing and product teams…
Founding data hire at a satellite IoT startup: build the data platform from the warehouse up — a layered lakehouse (Landing/Staging/Warehouse/Mart), dbt transformations, Redshift, real-time telemetry with Apache Iceberg, metric definitions, and self-service BI. Heavy SQL and dimensional modeling, working with Fivetran, Metabase, and internal stakeholders.
Data Analyst at Infinitus, a healthcare AI startup building agentic communications for patients. Day to day: exploring complex healthcare data, advanced modeling, defining metrics/experimentation standards, and building scalable reporting with SQL, Python/R, and BI tools (Sigma, Hex, Tableau, Looker) — hybrid out of San Francisco.
Senior Analytics Engineer at Plaid (fintech API infrastructure) owning the Marketing data stack: building dbt semantic-layer models on Databricks, productionizing predictive models (lead scoring, LTV, attribution), and enabling self-serve/AI-powered analytics for Marketing and GTM stakeholders.
Staff Data Scientist leading end-to-end applied ML and data science initiatives—modeling, pipelines, deployment, and monitoring—at a vacation rental company, with deep focus on pricing, demand forecasting, and optimization using Python, SQL, and cloud/ML tooling.
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