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Data Engineer
Design, build, and maintain scalable ETL/ELT data pipelines to transform raw data into insights for analytics/business teams, using Python, SQL, and tools like Airflow/Prefect/Dagster in a cloud data stack (Snowflake/BigQuery/AWS Redshift/Databricks).
Senior Platform Engineer
Senior Platform Engineer builds and scales real-time, event-driven infrastructure for AI-driven market intelligence at a fintech AI startup using AWS, Kubernetes, and distributed systems.
Software Engineer 2 - (Python, Java, Airflow)
Designs, develops, and maintains complex software systems using Python and Java, with workflow orchestration via Apache Airflow.
Software Engineer in Data (Senior)
Senior software engineer builds and maintains data pipelines and ML models for a fintech marketplace, using Java/Python/JavaScript and cloud tools like GCP/AWS.
Data Scientist (Cost Optimization)
Data Scientist focused on cost optimization for a wireless carrier, building cost models and optimizations for network costs, validating models against financial data, and turning analysis into business decisions using dbt, Redshift, Python, and AI tooling.
Data Platform Engineer (Snowflake)
Design and optimize a Snowflake-based data platform, build scalable schemas, and enable analytics and AI use cases with SQL, Python/Java, and ETL/ELT tools.
Data Engineer: Real‑Time Data Platform Builder
A Junior or Mid-level Data Engineer at The Codest in Poland will work on a real-time data platform, building streaming pipelines with Apache Beam/Dataflow, Pub/Sub, and BigQuery, designing dbt models, and creating audience activation workflows in Airflow.
Data Engineer (GCP, BigQuery & Pipelines)
Design, implement, and maintain scalable data solutions using Google Cloud Platform (GCP), BigQuery, and data pipelines, collaborating with analytics and product teams to deliver reliable data assets.
GCP Data Engineer: BigQuery, Pipelines & Airflow
Data Engineer designing and maintaining GCP data pipelines using BigQuery, Cloud Storage, Airflow/Cloud Composer, and Terraform for IaC.
GCP Data Engineer: Scale Pipelines & BigQuery
Data Engineer building and maintaining scalable GCP data pipelines, focusing on BigQuery modeling, performance tuning, and orchestrating workflows with Airflow/Cloud Composer and CI/CD tools.
Middle Data Engineer
The Middle Data Engineer will build and maintain scalable AWS-based data lakehouse pipelines for an e-commerce client. The role involves developing data models, managing data quality, and collaborating with cross-functional teams using Python, PySpark, and various AWS services.
Инженер данных мастер-систем / Data Engineer
Builds and maintains data pipelines, master data systems, and integration flows for a fashion retail group, using Python, SQL, and modern data tools.
Data Engineer
Builds and maintains production-grade data pipelines and infrastructure to deliver customer value using Python, SQL, and cloud tools.
Lead Data Engineer x 2
Hands-on Lead Data Engineer designing and building AWS and Snowflake data pipelines, data models, and cloud architecture to support enterprise analytics and AI initiatives.
Analytics Engineer, Payments Intelligence
As an Analytics Engineer on Vinted’s Payments Intelligence team, you design, build, and maintain data pipelines, models, and reporting systems for the new Vinted Pay payment service and other payments-related projects, using SQL and data engineering tools like DBT, BigQuery, and Airflow.
Consultant - Analytics Engineer
Sia Partners is seeking an Analytics Engineer to bridge data analysis and data engineering by building robust data models and ETL/ELT pipelines for clients. The role involves transforming raw data into actionable insights using tools like SQL, cloud platforms, and BI software.
Analytics Engineer, Marketing DSA
Build and maintain marketing data pipelines in BigQuery, dbt, and Airflow to power reporting and optimization for Vinted’s ecommerce platform.
Senior Cloud Data Engineer
The Senior Cloud Data Engineer will build and maintain end-to-end data pipelines, manage AWS infrastructure as code, and develop dbt models within a fintech environment. The role focuses on creating a scalable, AI-ready data platform using tools like Python, Airflow, and AWS.