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Build and maintain the core data platform that lets data teams create and deploy data products efficiently using Python/Java, Snowflake/Redshift, and AWS services.
Build and maintain the core data platform that lets teams ingest, transform, and serve data at scale using Python, Java, Snowflake, Redshift, and AWS services.
Designs and maintains the Sportsbook data warehouse and ETL pipelines, ensuring accurate and timely insights for internal and external stakeholders using T-SQL, SSIS, and MSSQL.
Build and maintain the Sportsbook data warehouse and ETL pipelines, ensuring accurate, high-performance data flows for a global iGaming platform using T-SQL, SSIS, and MSSQL.
A Senior Data Engineer builds and maintains the Sportsbook’s data warehouse and ETL pipelines, ensuring high-performance data structures, message-based architectures, and data quality for internal/external business needs using T-SQL, SSIS, and relational/non-relational databases.
Junior-to-mid Data Engineer building the first dedicated data platform at LLR Partners, a private equity firm: production dbt models, pipelines and entity resolution on a Databricks lakehouse with Prefect orchestration, serving investment, IR, operations and finance teams and supporting ML models already in production.
Senior ETL Data Engineer who designs, builds, and optimizes scalable ETL/ELT pipelines end-to-end (ingestion, transformation, delivery) and builds reporting-ready Power BI data models and dashboards. Core stack: SQL, Python, orchestration tools like Airflow/dbt, cloud data platforms (AWS/Azure/GCP), and Power BI with DAX.
Senior Data Engineer building large-scale pipelines for ad auction data (bid/win/impression logs) — writing diagnostic SQL, ingestion and feature/aggregation pipelines into BigQuery, conversion labeling, experimentation infrastructure, and data quality frameworks. Core stack: SQL, Python, Spark/PySpark, BigQuery, Airflow/Dagster, GCP. Remote-friendly role based in Warsaw.
Contract Senior Data Engineer for a federal government digital health agency, designing and maintaining Azure-based data pipelines and analytics solutions (Data Factory, Databricks, PySpark, SQL, Power BI). Hybrid role in Sydney or Canberra (1 day/week onsite), 12 months, requiring NV1 clearance and Australian citizenship.
A 2-3 year project for a financial services provider in Amsterdam: joining a data engineering team to build and maintain an ETL framework for financial data using Python, Apache Spark, and Azure Databricks.
Senior Data Engineer at Visser & Visser (Dordrecht, hybrid) builds and maintains the Microsoft SQL Server data warehouse, develops ETL processes with SSIS and Python, and helps shape a modern data platform with Microsoft Fabric, Databricks, BI and AI applications, delivering trusted data and reporting to an organization of 600+ colleagues.
Senior Data Engineer leading enterprise-scale data integration in the energy trading domain: designing scalable real-time and batch data pipelines and partnering with customers, analysts, and engineering teams. Core stack is Python, SQL, and data platforms, with emphasis on governance, security, and production readiness.
Build and maintain DevRev’s AI-ready data platform, designing scalable pipelines and optimizing databases to power real-time insights and agentic actions for global teams.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our…
Senior Data Engineer for the VARTA SENSE banking analytics platform in Noida: designs and operates scalable batch/incremental data pipelines, data quality controls, and ML feature pipelines for bank transaction data, with secure deployment in restricted bank environments. Core stack: Python, SQL, Spark/PySpark, Airflow, CDC, Docker and monitoring tools.
Senior Data Engineer (remote, Argentina) at SunnyData, a data consulting firm: you work directly with customers to design, build, and operationalize Databricks-based data solutions — pipelines, legacy-to-Databricks migrations, governance, and BI/ML/GenAI insights. Core stack: Databricks, SQL, PySpark, Azure/AWS/GCP, CI/CD.
Senior data engineer to own a ~5 TB/day event data platform end to end: streaming ingestion, ClickHouse/PostgreSQL storage and aggregation, reliability under failure, monitoring, and cost efficiency. Stack includes PostgreSQL, ClickHouse, Go, Kafka, AWS, and Terraform at a fully remote infrastructure product company.
This consultant designs and delivers data and AI solutions for customer projects at an IT system house, taking them from concept to implementation across data lake, data warehouse, and machine learning use cases, primarily built on Microsoft Fabric or Databricks while advising clients on technology choices.
Senior Data Engineer at Tata Consultancy Services driving data delivery, governance, and migration projects for banking/financial services clients. Day-to-day work is hands-on with Google Cloud Platform, building and monitoring ingestion pipelines in BigQuery and orchestrating them with Airflow and other GCP tools.
Design and build scalable data pipelines and a new data platform on Azure and Databricks for Sweden's leading pharmacy chain. You will work with Python, SQL, and Kafka to create data products, collaborating closely with BI and Data Analysts in an agile 'build it, run it' environment.
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